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ReadyMode is a cloud-based, all-in-one predictive dialer that intelligently connects call center agents with more leads in less time. Make more connections, and maximize agent productivity - all at an affordable cost. 
ReadyMode prides itself on “transforming the way businesses communicate with their customers.” We focus on what matters and have built our company around improving businesses’ ability to reach more prospects and convert more leads.

ReadyMode

Building a startup from scratch is tough in a dynamic online world. The pain of creating something from scratch is completely understandable and sometimes so hard to bear for early-stage eCommerce startups. Without deep pockets, it is hard for startups to invest in custom web & and that’s making startups shift towards ready-to-use eCommerce solutions. mobile app development A lot of entrepreneurs, despite having a stellar business model, interesting product portfolio and a great team fail due to lack of a mobile app or eCommerce platform. A readymade eCommerce solution prepares a startup to launch its eCommerce operation quickly. What is a Ready-to-use eCommerce solution? A ready-to-use eCommerce solution saves time, energy and efforts made towards building an eCommerce platform and mobile app. A readymade solution can be termed as a white label solution that needs to be customized according to a business model, industry and is ready to be deployed within hours and not months. A turnkey solution can help startups in a wide range of industries to launch their eCommerce store and mobile app without investing dedicatedly towards custom development & following the path. growth hacking Benefits of Readymade eCommerce Solution 1. Built-in Useful eCommerce Features Most of the readymade eCommerce platforms are designed to help startups launch their operations quickly. Hence, the apps and websites they roll out are already equipped with all the essential features of a modern eCommerce platform. Shopping carts, payment gateway integration, product filters, coupon and offers, marketing tools, etc. are already embedded in readymade eCommerce platforms. 2. Affordability & Ease Startup entrepreneurs who choose readymade solutions over custom development save thousands of dollars over the years. Custom mobile app and eCommerce website development is a costly endeavor. By choosing to utilize a readymade platform, a startup entrepreneur doesn’t have to think about investment and at the same time can easily adopt an omnichannel approach. For example, with Shopify, you can start your dream online store at just $9 (Lite Plan). However, this plan doesn't permit you to create a fully-featured online store. 3. Eliminates Hiring & Team Management Hassles One of the biggest problems any startup faces is associated with scouting, hiring and retaining top development talent. Mostly, early-stage startups are short of resources, making them unattractive for expert developers. Even when they choose to outsource their development tasks, they constantly face the problem of team management and driving development endeavors according to their goals. A readymade solution saves an entrepreneur from all these hassles by providing a ready-to-use solution that doesn’t require any technical resource. This way, a startup can quickly start its online operations without relying on the development team. 4. Easy to Manage Post Launch Readymade platforms are designed in a way that the apps and websites can be handled easily by anyone. Throughout the entire deployment process, there is a minimal requirement of a technically proficient resource to handle the operations. Even after the launch, all the aspects can be handled easily from a single dashboard that generally comes with the solution. This means a non-tech founder of a startup can even manage the entire store and mobile app without any help. 5. Swift deployment and launch With a readymade solution, startups can quickly launch their platforms without wasting too much time in perfecting the right features for their store and mobile app. A readymade eCommerce solution like Quick eSelling can accelerate the pace of launch by allowing startups to launch a full-featured eCommerce store and mobile app within 10 minutes without writing a single line of code. The platform does not offer hybrid and progressive web apps in any of its plans. 6. Highly Customizable & Scalable Solutions Readymade solutions are built to portray high levels of scalability and personalization. Startups can use the in-built features to customize their eCommerce store as well as mobile app. Also, these solutions support several hundred products at a time and have the ability to add more products on-the-go. This means that startups can scale up their operations without worrying about the potential of such solutions. Also, the eCommerce brands powered by readymade solutions are hosted on high-end backend servers and infrastructure. Thus, this makes scalability easier even for startups in the early phases as the number of customers and orders increase. 7. Free Trials & Demos eCommerce brands can try out free demos offered by readymade solution providers to see if it fits their brand proposition and business model. This is generally not the case with developers who build things from scratch. Startups need validation at every point. And with free trials and demos of a platform’s capabilities, they can make better business decisions and plan for future growth, efficiently. Also, entrepreneurs can read case studies and success stories of brands already using a solution to get a genuine idea about the capabilities of the turnkey eCommerce solution. Final Word The eCommerce industry is becoming increasingly competitive with each passing day. In such a scenario, one cannot rely on custom development completely. Changing customer preferences, innovative business models and fast-moving products require a swift solution that is easy to manage and quick to deploy. A readymade eCommerce solution fits right in the modern eCommerce equation making it useful for early-stage startups and eCommerce brands looking to disrupt the industry. : I have a vested interest in Quick eSelling platform and I help them with my consultation.
  However, I would suggest you to do your own research before making a final decision. I don't have any vested interest in other mentioned solutions. Disclaimer

Real Benefits of Readymade eCommerce Solutions over Custom Development? 

Infrastructure as Code (IaC) is a powerful DevOps practice that enables the automated provisioning, configuration, and management of cloud computing resources. IaC allows system administrators or developers to define their desired infrastructure architecture in code – just like with regular applications – before being implemented in an environment by a machine rather than manually configured on individual instances. In this article, we'll look at the benefits of implementing this practice and some of the best practices you should follow in your pipeline. DevOps Benefits of Infrastructure as Code The main benefit of Infrastructure as Code is speed—since resources are deployed automatically through rules defined in code instead of monotonous manual tasks, you can move faster while keeping the same quality. Integrating tests into the process helps you identify broken components early on - helping you react quickly without compromising quality standards further down the line when releasing new products or services into production environments. This automation also eliminates manual setup during rollouts or updates, drastically improving scalability and minimizing mistakes due to human errors that can occur when making changes via traditional methods. IaC Best Practices 1. Identify Infrastructure Requirements When identifying IaC requirements for specific applications, the most important factor is understanding the application's dependencies. All necessary components must be configured correctly to ensure that the application is running properly. That means determining: Environment - Which operating system(s) will be used? Is a virtualized environment required? Are there any special hardware requirements? Platform - Does an existing platform exist for hosting these applications? If so, what are its current requirements? What modifications may be needed to host new applications? Database – What kind of database will be used with this particular application? Are there any compatibility issues with other databases or versions of software that need resolving before deployment can occur? Security – How secure does the environment need to be in terms of access controls (e.g., authentication/authorization)? Have all identified security threats been neutralized before launching production instances on these infrastructure components? Networking – Will different parts of this infrastructure require static IP addresses or domain names for them to communicate with each other correctly across networks? Once these dependencies are identified and specified within IaC templates, such as Terraform files or Ansible playbooks, you can begin deploying your custom-built infrastructure. 2. Follow security best practices The first and most important step for is implementing checks and balances to secure your code. This includes using source control systems, which allow users to monitor changes made by different developers in the same repository. IaC security It can provide an extra layer of security when trying to identify who has access to your code, where changes have been made, and what modifications need approval. As an additional point, source control systems can help ensure that only approved versions of the IaC are deployed. Another essential step towards securing your IaC is the encryption of secrets within the codebase itself. It is recommended to encrypt and securely store confidential information such as passwords and others within a version-controlled system such as Hashicorp Vault or AWS Secrets Manager. 3. Automate provisioning and configuration In IaC, everything leads to automation, as automation tools are an essential part of keeping your infrastructure reliable and up to date. Configuration, provisioning, patching, and deployment activities can be extremely tedious when done manually. By using , you can ensure that these essential tasks are automated efficiently and with minimal effort on the engineer's part. automation tools for Infrastructure as Code With automated implementation and configuration management solutions provided by IaC tools like Terraform, Ansible, or Puppet, you can define a desired state for your infrastructure in easy-to-read or code blocks. While it is certainly possible to configure everything without them, manual configuration may become increasingly complex over time as more modifications are made to an environment. YAML files Automated provisioning and configuration come with added benefits such as improved scalability or reduced time between development cycles. 4. Create Reusable Components One of the key principles in designing an efficient IaC project is . Instead of hard-coding each environment with its own config from scratch, identify commonalities between the different environments you're creating—wherever possible, create modules that contain configurations or elements that can be reused numerous times over the lifetime of your project. DRY—don't repeat yourself By doing this, any changes or updates made to one component become universally available throughout all other environments, saving you time tracking down bugs and optimizing your workflow while managing multiple projects at once. Depending on your infrastructure setup, there are several approaches for designing reusable components: Use existing open-source config management tools like Chef, which provide pre-built modular elements readymade for use across multiple servers. Write custom IaC scripts using Terraform language specially designed to develop reusable components. Create modules using across various cloud services such as S3 buckets or EC2 instances. AWS Cloudformation templates 5. Monitor deployment performance Monitoring deployment performance allows you to apply versioning and automated updates and is key for ensuring secure and reliable operations. With greater visibility into potential issues that occur from modifications, you can adjust your automated operations quickly before any errors become an issue. \ The most effective way to monitor deployments is through proper log management and analysis tools such as Elasticsearch, Logstash, Kibana (ELK), or similar solutions. These tools allow for comprehensive monitoring of metrics encompassing system health, performance indicators like latency measurements or throughput levels, and tracking of operational events like database queries or API requests. 6. Utilize DevOps tools One of the main is to leverage a variety of tools to maximize efficiency and operational excellence. principles of DevOps In terms of Infrastructure as Code, popular tools (also mentioned in the examples above) include Terraform, Puppet, Chef, AWS CloudFormation, and Azure Resource Manager. The most important tool to leverage for IaC best practices is containerization platforms. Containerization allows organizations to deploy applications quickly in isolated environments without worrying about conflicts between different versions of libraries and configurations. This approach ensures consistency across multiple machines while increasing scalability and security. To further enhance infrastructure automation capabilities, consider using configuration management tools that help define how specific services need to be configured to deploy applications successfully through self-service scripts instead of manual execution every time there's an update requirement or an incident occurs for troubleshooting purposes. Leveraging cloud services like those provided by major vendors such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platforms can allow for better flexibility when dealing with production workloads. Wrapping up In conclusion, Infrastructure as Code (IaC) is a fundamental component of DevOps that allows teams to develop, deploy, and manage cloud-based applications in an automated way. For those committed to utilizing IaC for their software development lifecycle needs, implementing the strategies outlined above will help ensure that operations are efficient and reliable over time. Whether you're a service provider or an enterprise end user in an IaC environment—it's good to know how to maximize this powerful technology.

6 Best Practices for Infrastructure as Code in DevOps

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My team & I was working on an &VR project — around mid-2017, the most difficult problem that we faced was integrating custom payment gateways to our app that’s built on Unity. To date, many developers used to email me to help them with their payment gateway integration so decided to share it here. AR We had a use case where we have to collect payment from customers and update it in our backend e-commerce store. There were two options for us one was to use available payment solutions with Unity or to build our own integration with other payment gateways. Readymade solutions weren’t suitable because it was accepting payments in USD and even if some in-app purchase solutions were working in our regional currency (INR) it was expensive. so we found a workaround to integrate a custom payment gateway with any Unity app. Below are the steps I used for my app but it should be similar to your use case and for any other payment gateways. I personally feel Razorpay is very comfortable because have very good tech support and they have a feature that other payment gateways don’t have, I will come to that later. So this is how it works. Mostly every payment gateway has some sort of web-based checkout that works just with a browser. we decided to use that. since all we needed was a browser it was easy to open a webview. you can open a website directly from Unity using inbuilt functions but it was easy for me to use this asset — “UniWebView” It’s very easy and straightforward. ( ) Razorpay Standard Web Integration https://razorpay.com/docs/payment-gateway/web-integration/standard/ ( ) UniWebView https://uniwebview.com/ The concept is straightforward, I hosted a PHP page in my server with the standard checkout code and accessed that page from Unity webview. All values like name, price and other dynamic portions are passed as parameters. So we will have a pay now button or checkout button on our hosted page if you feel it as redundant or an extra step you can set auto-trigger whenever that page is loaded. Tada! Now you can collect payment from your customer. The remaining flow depends upon your use case. If you are from India, you might face this problem. we have multi-factor authentication where you have to type One time password or some kind of pin. payment gateways like Stripe, and Paytm rather than redirecting our existing page, open a popup or a new window. this will work in ordinary browsers but since we are using the Unity web view it’s impossible for a popup. This is where Razorpay is awesome. you can set whether you wanted to redirect or open a new window in their standard checkout code. you can read about this on this link ( ) in case if the link is outdated, you can feel free to check with Razorpay’s tech support they will assist you. https://razorpay.com/docs/payment-gateway/callback-url/ Let me know if there is something else that I have missed to mention here. Thank you :)

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Data collection for machine learning projects can be a real pain. It's time-consuming and tedious, and did we mention expensive? It's unfair that some machine learning projects never even begin because the cost of data collection can be so prohibitive. Let's examine why data acquisition is so expensive, even though it shouldn't be. The cost of labor, infrastructure, quality control, pre-processing, data cleaning, and ethical considerations are just a few of the cost segments that are associated with data collection costs. Now, it is definitely not a good idea to skip any of these segments, but the catch is that you can cut costs by making each data collection step as efficient as possible. We must ensure that our strategy includes more than just cost-cutting; we also need to ensure that the data we are gathering is of high quality! Let's start by examining how prioritizing quality can help with cost-effective dataset collection. 1. Prioritizing Quality Over Quantity Any machine-learning model development process starts with gathering a training dataset. The process of gathering training data is not a one-time occurrence; rather, it can be repeated repeatedly throughout the entire period of developing a ground-breaking AI solution. While testing our model, if the efficiency of the model is not up to par in any scenario, then in order to train our model for that scenario, we need to collect new and more specific data in that case. In order to lower the cost of data collection, our strategy should be to reduce this repetitive collection of new datasets. Now, the maxim "the more, the better" cannot apply to the collection of training datasets without paying attention to the . dataset's quality Also, it is obvious that the size of the dataset has a direct impact on the total cost of training data collection. It can be expensive and time-consuming to gather a lot of training data, especially if the data needs to be labeled or annotated. However, collecting high-quality data, even if it's a smaller dataset, can actually help reduce overall costs in training data collection. First off, by gathering high-quality data, we can avoid gathering redundant or irrelevant data that might not improve the performance of the machine learning model. As a result, it is less expensive to gather, store, and manage massive amounts of data. Secondly, high-quality data can help reduce the time and cost associated with data cleaning and preprocessing. Cleaning and preparing the data for use in the machine learning model is easier when it is reliable and consistent. Thirdly, a quality dataset can improve the performance of machine learning models, which in turn lessens the requirement for additional training data. As a result, there will be no need to collect extra data to make up for the model's shortcomings, which can help lower the overall cost of data collection. In an ideal case, we must be clear about what we are expecting in terms of quality with any data collection process, and then finding the optimum balance between quality and quantity will significantly reduce the overall cost. 2. Leverage Human-in-the-Loop People are what make data collection possible. Depending on the use case, complexity, and volume, we have to onboard people from various places to gather the data. This is where most of the money goes when collecting data. Recruiting qualified and knowledgeable crowds in accordance with the task at hand is the first step when dealing with the crowd in order to acquire a high-quality dataset. If you want German conversational speech data, then you must focus on onboarding native German people who already have experience working on similar projects. Simply because they have experience, they can easily comprehend your requirements and can help you more when it comes to gathering high-quality datasets. Aside from that, all dataset requirements are distinctive in some way, and some dataset requirements can be particularly complicated. In these situations, it is strongly advised to spend some time developing appropriate guidelines and training materials in order to save money and time. It can be beneficial to have instructions and training materials in the native language. If the guideline is clear from the start, then training people on it can be easy and can boost confidence in data providers. This also reduces the continuous back and forth in case of confusion over guidelines, which eventually saves more time and money. Setting clear expectations can improve contributors' job satisfaction and lower their likelihood of giving it up. That reduces the cost and time associated with finding and onboarding new people. An ideal guideline must have clear acceptance and rejection criteria for participants, which gives them a clear understanding of what to do and what not! This remarkably aids in lowering rejection and rework, which ultimately saves time and money. 3. Adopt Transfer Learning A pre-trained model is reused for a new task with less training data using the machine learning technique known as transfer learning. Transfer learning can lower the cost of gathering training datasets by lowering the quantity of new data that needs to be gathered and labeled. To train a model from scratch in conventional machine learning models, a significant amount of labeled data is needed. But with transfer learning, programmers can begin with a model that has already been trained and has picked up general features from a sizable dataset. Developers can quickly and effectively train a model that excels at the new task by fine-tuning the previously trained model on a smaller, task-specific dataset. Let's say a business is creating a machine-learning model to find objects in pictures. They can use a pre-trained model like or , which has already learned general features from a large dataset of images, rather than collecting and labeling a large dataset of images from scratch. ResNet VGG The pre-trained model can then be fine-tuned using a smaller dataset of images relevant to their use case, such as pictures of industrial or medical equipment. The business can significantly reduce the quantity of fresh data that must be gathered and labeled while still creating a top-notch machine-learning model by utilizing transfer learning. Leveraging existing datasets is another way that transfer learning can assist in lowering the cost of training data collection. For instance, a developer can use the dataset from an earlier project as a starting point for a new machine learning project they are working on that is in a related field. In conclusion, transfer learning is an effective method for cutting the expense of obtaining training data in machine learning. Developers can drastically reduce the amount of fresh data that must be gathered and labeled while still producing high-quality machine-learning models that excel at novel tasks by utilizing pre-trained models and existing datasets. Making the decision to implement transfer learning can be difficult and crucial because there are numerous restrictions, such as Fine-tuning might not be beneficial if a pre-trained model has already been created for the task that is not your primary concern. could occur if the model was developed using a sparse or unrelated dataset that is relevant to your task. Overfitting Fine-tuning can be expensive computationally if the pre-trained model is very large and requires a lot of computational resources. 4. Explore Readymade Dataset When working with large datasets, starting from scratch on a new dataset can be a daunting task. In this situation, a pre-made, or off-the-shelf (OTS) dataset might be a wise choice. Finding an open-source training dataset that meets your needs can help you save time and money. Even though finding a perfectly structured dataset that meets your requirements in open source is extremely rare, there is no guarantee that it will be diverse and representative enough to support the development of reliable AI solutions. Another option to acquire off-the-shelf datasets is through commercial licensing from organizations like FutureBeeAI. FutureBeeAI has a pool of more than 2,000 training datasets, including , image, video, and text datasets. speech There is a good chance that we have already created the dataset you need. This pre-made dataset not only reduces collection time but also frees you from the hassle of managing crowds and aids in the scaling of your AI solution. Choosing an OTS dataset can make it very simple to adhere to compliance because the company has already taken all necessary ethical precautions. Finding the right partner and purchasing the appropriate off-the-shelf dataset can be a very economical solution. 5. Automate With Tools From our discussion up to this point, it is clear that the only opportunity to lower the cost of data collection is to find the most effective means of carrying out each of these minor yet important tasks. In this situation, using cutting-edge tools can be extremely helpful. The cost of data preparation is another element on which we should concentrate. For the datasets to be ready for deployment after collection, proper metadata and ground truths are required. Now, manually generating this metadata can be a time-consuming and highly error-prone task. You can automate the creation of metadata and speed up the collection of structured datasets by using data collection tools. In addition, collecting data without the proper tools only results in longer collection times, higher costs, and frustrated data collectors. Using data collection tools can greatly speed up the procedure and cut down on the total amount of time. This facilitates the participant's entire data collection task and can lower the overall budget! 6. Data Augmentation The process of "data augmentation" involves applying different transformations to existing data in order to produce new training data. By enabling developers to produce more data from a smaller dataset, this technique can aid in lowering the overall cost of data collection for machine learning. Consider the case where you have gathered . You can use data augmentation to expand your training dataset's overall size by: speech data for your ASR model Adding different types of noises, like white noise, pink noise, babble noise, etc. Noise Injection: Different room environments can be simulated by adding room acoustics to the speech signal. Environment Simulations: Changing the pitch of the speech signal by increasing or decreasing the frequency of the signal. Pitch Shifting: Changing the speed of the speech signal by increasing or decreasing the speed of the audio signal Speed Perturbation: Such transformations allow us to expand the dataset's size and add more data for a machine learning model's training. Here, there are also cost savings because we can transfer the original labeling. In addition to saving money and time, it lessens the need for additional data and enhances the model's performance with the available dataset. Data augmentation is a potent tool but also a complicated one. If not done properly, there are a lot of consequences. A dataset with many similar data points could result from its aggressive adoption, which could overfit models trained on the dataset. In a nutshell, it is a task that relies on expertise and should be approached with caution. 7. Ethical & Legal Consideration In the field of machine learning, the legal considerations surrounding training datasets are of critical importance. Developing and deploying machine learning models based on improperly sourced, biased, or discriminatory training datasets can have serious legal, ethical, and reputational consequences. Several data privacy laws, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), govern the gathering and use of personal data. These regulations provide precise instructions for gathering, handling, and storing personal data. There may be penalties and legal repercussions if these rules are disregarded. It is essential to abide by intellectual property laws when working with proprietary and copyrighted data; failing to do so could result in legal action. Such legal disputes between have recently come to light. generative AI companies and artists Furthermore, it is crucial to compile a dataset that is , fair to all, and representative of the population. Legal action and reputational damage may result if the model is prejudicial or discriminatory toward any particular group. unbiased Before collecting any personal data, it is advisable to review all the compliance requirements you must adhere to. In an ideal collection, make sure the data contributor is aware of the type of data he or she is sharing and what potential uses there are for it. Data providers must be aware of worst-case consequences as well. To prevent any further issues, make sure your data collection procedure is consensual and includes obtaining written consent from each data provider. Remember, loss avoided is money saved! Originally published at - futurebeeai.com

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Kubernetes autoscaling was supposed to be easy. Even though one of the selling points of Kubernetes is scaling, the built-in autoscaling support is basic at best. You can only scale based on CPU or memory consumption, anything more advanced requires additional tooling that is often not trivial. The Gimlet.io team put together this blog to show common usecases of autoscaling: based on CPU custom Prometheus metrics and RabbitMQ queue length Furthermore, we are aiming to clear up the differences between the Horizontal Pod Autoscaler (HPA), the Prometheus Adapter and KEDA. Let's get into it shall we? First, about the Horizontal Pod Autoscaler (HPA). First, about the Horizontal Pod Autoscaler (HPA) The Horizontal Pod Autoscaler, or HPA in short, is a Kubernetes resource that allows you to scale your application based on resource utilization such as CPU and memory. To be more precise, HPA is a general purpose autoscaler, but by default only CPU and memory metrics are available for it to scale on. Its data source is the Kubernetes Metrics API, which by the way also powers the command, and backed by data provided by the component. This component runs on your cluster and it is installed by default on GKE, AKS, CIVO and k3s clusters, but it needs to be manually installed on many others, like on Digital Ocean, EKS and Linode. kubectl top metrics-server The HPA resource is moderately well documented in the Kubernetes documentation. Some confusion arises from the fact that there are blog posts out there showcasing different Kubernetes API versions: keep in mind that is not backwards compatible with v1! autoscaling/v2 More headaches arise when you try to scale on resource metrics other than CPU and memory. In order to scale pods - let's say - based on number of HTTP requests or queue length, you need to make the Kubernetes API aware of these metrics first. Luckily there are open-source metrics backends implemented, and the best known is Prometheus Adapter. Prometheus Adapter Prometheus Adapter is a Kubernetes Custom Metrics API implementation which exposes selected Prometheus metrics through the Kubernetes API for the Horizontal Pod Autoscaler (HPA) to scale on. Essentially you configure the Prometheus Adapter to read your desired metric from Prometheus, and it will serve it to HPA to scale on. This can be an HTTP request rate, or a RabbitMQ queue length or any metric from Prometheus. Prometheus Adapter does the job, but in our experience its configuration is cryptic. While there are several blog posts out there explaining its configuration syntax, we could not make it work sufficiently reliably with our custom metrics scaling needs. That is essentially why we have brought you here today, to share our experience with a Prometheus Adapter alternative, called KEDA. So, what exactly is KEDA, and why we prefer it? KEDA KEDA is a Kubernetes operator that is handling a user friendly custom yaml resource where you can define your scaling needs. In KEDA, you create a custom resource with the necessary information about the deployment you want to scale, then define the trigger event, which can be based on CPU and memory usage or on custom metrics. It has premade triggers for most anything that you may want to scale on, with a yaml structure that we think the Kubernetes API could have been made in the first place. ScaledObject KEDA does two things: it exposes the selected metrics to the Kubernetes Custom Metrics API - just like Prometheus Adapter and it creates the Horizontal Pod Autoscaler resource. Ultimately this HPA does the scaling. Now that you have an overview, let's take a step further and show how you can autoscale with KEDA! Autoscaling example based on CPU usage In order to autoscale your application with KEDA, you need to define a resource. ScaledObject apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: cpu-based-scaledobject
  namespace: default
spec:
  minReplicaCount:  1                                 
  maxReplicaCount:  10
  scaleTargetRef:
    kind: Deployment
    name: test-app-deployment
  triggers:
  - type: cpu
    metricType: Utilization
    metadata:
      value: "50" is where you refer to your deployment, and is where you define the metrics and threshold that will trigger the scaling. scaleTargetRef triggers In this sample we trigger based on the CPU usage, the will manage the number of replicas automatically for you and maintain a maximum 50% CPU usage per pod. ScaledObject As usual with Kubernetes custom resources, you can and the resource once you deployed it on the cluster. kubectl get kubectl describe $ kubectl get scaledobject
NAME                    SCALETARGETKIND      SCALETARGETNAME      MIN   MAX   TRIGGERS  READY   ACTIVE
cpu-based-scaledobject  apps/v1.Deployment   test-app-deployment   2     10    cpu      True    True To have an in-depth understanding of what is happening in the background, you can see the logs of the keda operator pod, and you can also the HPA resource that KEDA created. kubectl describe Autoscaling example based on custom metrics To use custom metrics, you need to make changes to the section. triggers Scaling example based on custom Prometheus metrics: triggers:
- type: prometheus
  metadata:
    serverAddress: http://<prometheus-host>:9090
    metricName: http_requests_total # Note: name to identify the metric, generated value would be `prometheus-http_requests_total`
    query: sum(rate(http_requests_total{deployment="my-deployment"}[2m])) # Note: query must return a vector/scalar single element response
    threshold: '100.50'
    activationThreshold: '5.5' Scaling example based on RabbitMQ queue length: triggers:
- type: rabbitmq
  metadata:
    host: amqp://localhost:5672/vhost
    mode: QueueLength # QueueLength or MessageRate
    value: "100" # message backlog or publish/sec. target per instance
    queueName: testqueue Check the official website to see all the scalers. KEDA Closing words When we found KEDA, our pains with the Prometheus Adapter were solved instantly. KEDA's simple install experience and readymade scalers allowed us to cover our autoscaling needs, while its straightforward yaml syntax communicates well the scaling intent. We not just use KEDA ourselves, but also recommend it to our clients and friends. So much so that we integrated KEDA into our preferred stack at Gimlet. Onwards! Originally by Youcef Guichi and Laszlo Fogas at . published https://gimlet.io

Kubernetes Autoscaling Was Supposed to Be Easy

Top 12 Best White Label (VOD) Video On Demand Platform Providers For 2022

Online grocery platforms are witnessing rapid growth in the eCommerce industry. With the widespread grocery trends, the market value of the eCommerce grocery industry has doubled. There is no doubt in the fact that people nowadays feel much ease in purchasing groceries online. The main objective of online grocery stores is to deliver the best quality products directly to their customer’s doorsteps at competitive prices. Great website features are crucial in running an online grocery platform. And in a world full of advancements, supermarkets must provide their customers with a seamless shopping experience. And for that, an online grocery platform should have a wide variety of features to offer products to customers; the platform must make the products easily accessible. In a nutshell, one should make a website as simple as a physical store. Undoubtedly, the rapid growth of online grocery has created a lot of interest in the grocery eCommerce market. This blog post aims to help entrepreneurs better understand how an online grocery marketplace works, the top software to build a grocery marketplace, and the critical features of a successful online grocery marketplace. Top Market Players in The Grocery Industry According to the Research and Market reports, the global online grocery market rate is expected to reach USD 2,1583.53 billion by 2030, growing at a CAGR of 25.3% from 2022 to 2030.  With the growth of the online grocery industry, the preferences of customers are also changing. Many online stores offer services like placing and collecting orders on the same day, which helps in the market's rapid growth. Business Founded Founder Investors Funding Peapod 1989 Young Lee Ahold $73M Instacart 2012 Apoorv MehtaMax MullenBrandon Leonardo Sequoia CapitalCoatue ManagementKhosla Ventures $2.7B Shipt 2014 Bill Smith GreycroftHarbert Venture Partners $65.2B FreshDirect 2002 David MclnerneyJason Ackerman David MclnerneyJason Ackerman $280M Farmigo 2009 Benzi RonenYossi Pik BenchmarkSherbrook Capital $26M Types of Grocery eCommerce Software Grocery software is a fast and reliable turn-key solution equipped with features to efficiently and easily launch an online supermarket. These are convenient and less expensive because they come up with purpose-built features and pre-integrated APIs. This software doesn’t require any coding from your side. There are two types of eCommerce grocery platforms for online merchants to choose from which are: Hosted Grocery eCommerce software Self-hosted Grocery eCommerce software Hosted Grocery eCommerce Software They offer ready-made eCommerce Software for creating a store for your business. It runs on a server that the solution providers fully manage. This means you can easily create an online store without worrying about hosting/storing files/data on the cloud and all technical details. Examples: Mycloud Growcer, Mercatus, Unata, Shophero Self-Hosted Grocery eCommerce Software These platforms allow full access to source code to build a full-fledged online grocery marketplace for businesses. The self-hosted grocery eCommerce solution is one where the business owners are responsible for the hosting, which will give them full freedom to implement their online grocery marketplace according to their business needs. Examples: Growcer, ZielCommerce, Yelo Top 5 Grocery Software to Manage Marketplace Effectively As we have already elaborated that grocery software is essential for a successful marketplace. So, here we have put together a list of the top 5 grocery software that will help supermarkets to enhance their business growth in the eCommerce industry. 1. Growcer Growcer is a self-hosted, readymade grocery software that is fully equipped with a set of multiple features and functionalities which help in not only the start-up of an online grocery business but also other businesses like online pharmacy delivery, liquor and wine delivery business, food delivery, supplement delivery, online pet food delivery, and many more. Its inbuilt inventory module provides real-time inventory tracking and also helps with order management, pickup management, tax management, and much more in one place. Its latest version, with enhanced features and functionalities, helps you to launch your hyperlocal marketplace with minimum effort. In addition, Growcer also offers you a lifetime license for experiencing complete ownership through a one-time payment process. Key Highlights: Define Radius Offers limitless scalability Auto-order completion BOPIS (Buy online, and pick up in-store) 2. ZielCommerce Zielcommerce comes with a one-time payment option and customizable software that helps you build an online grocery delivery website and app. Zielcommerce supports both single-vendor as well as multi-vendor online grocery businesses. It reaches customers globally with its multi-currency and multilingual options. Zeilcommerce is a great website builder for online grocery marketplace, providing complete solutions to online grocery retailers and engaging consumers through customized shopping. Key Highlights: Customization One time cost End-to-end support Fully ensure 3. Mercatus Mercatus is a feature-rich eCommerce software that empowers online supermarkets to run successfully. Its configurable front end allows sellers to build their online grocery marketplace, offering an in-store experience with multiple product options. This flexibility of this software allows you to monitor stock as there is a convenient dashboard that shows all the inventory reports. Its user-oriented UI supports better customer engagement, and the software also enables good revenue through its entire management tools. Key Highlights: Offers order management Multipayment channels Smooth integration with CRM, loyalty program, and many more Inventory management 4. ShopHero ShopHero is a popular platform which makes it easy to launch an eCommerce grocery marketplace. Its retail success platform consists of three main modules – eCommerce, POS (point of sale), and buyer engagement. Their logistics technologies also offer independent grocers cost-effective home delivery services without a considerable investment in technology or delivery infrastructure. In addition, it is a platform that offers an automated marketing system, reports & analytics, and much more. Key Highlights: Inventory management Loyalty Program Intuitive UI/UX Convenient payment experience 5. Yelo Yelo is a multi-vendor marketplace SAAS software that allows you to create a website and mobile apps to sell groceries online. The entrepreneurs are offered a complete tech suite to run and automate their business operations in terms of ordering, delivering, and marketing. Furthermore, Yelo also offers more than 50 integrations in payment, accounting, and marketing. Apart from delivering groceries to doorsteps now, they also provide facilities for drone delivery. Key Highlights: Promotion management SEO management Return management Provide a facility for drone delivery Essential features for Online Grocery Business With the help of the above-mentioned grocery software, you can build a fully loaded website with a set of unique features that will make your marketplace website easy to use and mobile-friendly. Here, we have compiled a list of some features that you must include in your online grocery marketplace to attract vendors and buyers. Product Catalog System Grocery eCommerce marketplace must have this feature to create and manage lists of products in terms of import/export, categorizing them, inventories, and much more, easily. Order Management Because of this feature, vendors can easily manage multiple order requests at once. This feature gives them full details about total delivered orders, pending orders, cancelled orders, order history, and much more. Inventory management An online grocery marketplace integrated with this feature helps to provide real-time location and regulate track inventory status so that customers can collect all details regarding stock availability. Radius Calculation An online grocery marketplace must provide this system which helps customers get all the details of the nearest store just by typing the address. It is also preferable for delivery partners as they will get a specific radius within which they can do deliveries Multiple Payment Options Make the purchasing process as simple as possible for the customers by including a variety of online payment options in the shopping cart. The availability of multiple payment options like COD, card payments, eWallets, and other payment methods on your marketplace, gives your customers more reasons to continue buying from you. Scheduled Deliveries An online grocery marketplace must use this feature to provide schedule-based deliveries. This feature helps customers to get a clear idea of the delivery schedule by knowing the availability of vendors and delivery partners. Pick-at-Store Options These services are becoming very popular nowadays in an online grocery marketplace. Integrating this feature in an online grocery marketplace allows buyers a convenient self-pick-up facility. This enables customers to shop online at their convenience by visiting stores whenever they want immediate delivery or a combination of both. Conclusion Customers have started utilizing online grocery platforms, and with the rapid growth in the eCommerce grocery industry, starting an online grocery platform can be a profitable business option. Furthermore, to experience the success of your online grocery business, we have created a list of top grocery software that can help you make the most of your online grocery business by choosing the best software for your marketplace based on your business needs. So, try to gather as much information as possible by considering everything you’ve read above in this article.

Top Software To Build an Online Grocery Platform in 2023

Introduction Google Maps Data is a crucial piece of data for review software companies, sentimental analysts, and data miners as it contains information like user ratings, user reviews, addresses, and images of a particular place. In this tutorial, we will learn how to scrape this valuable Google Maps information with the help of Node JS. And at the end, we will see how can help you scrape Google Maps Reviews without any extra effort, which we require in scraping Google. Serpdog's | Google Maps Reviews API Requirements: Web Parsing with CSS selectors Searching the tags from the HTML files is not only a difficult thing to do but also a time-consuming process. It is better to use the for selecting the perfect tags to make your web scraping journey easier. CSS Selectors Gadget This gadget can help you to come up with the perfect CSS selector for your need. Here is the link to the , which will teach you to use this gadget for selecting the best CSS selectors according to your needs. tutorial User Agents User-Agent is used to identify the application, operating system, vendor, and version of the requesting user agent, which can save help in making a fake visit to Google by acting as a real user. You can also rotate User Agents, read more about this in this article: . How to fake and rotate User Agents using Python 3 If you want to further safeguard your IP from being blocked by Google, you can try these . 10 Tips to avoid getting Blocked while Scraping Websites Install Libraries Before we begin, install these libraries so we can move forward and prepare our scraper. Puppeteer JS Or you can type the below commands in your project terminal to install the libraries: npm i puppeteer Target: Process: Copy the below target URL to extract the HTML data: https://www.google.com/maps/search/coffee/@28.6559457,77.1404218,11z is our query. After that, we have our latitudes and longitudes. The number before at the end is nothing but the zooming intensity of Google Maps. You can decrease or increase it as per your choice. Its value ranges from 2.92, in which the map completely zooms out, to 21, in which the map completely zooms in. Coffee z Latitudes and longitudes are required to pass in the URL. But the zoom parameter is optional. Note: We will use Puppeteer Infinite Scrolling Method to scrape the Google Maps Results. So, let us start preparing our scraper. First, let us create the main function, which will launch the browser and navigate to the target URL. const getMapsData = async () => {     
        browser = await puppeteer.launch({
            headless: false,
            args: ["--disabled-setuid-sandbox", "--no-sandbox"],
        });
        const page = await browser.newPage();
        await page.setExtraHTTPHeaders({
            "User-Agent":
                "Mozilla/5.0 (Macintosh; Intel Mac OS X 11_10) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4882.194 Safari/537.36",
        })
        
        
        await page.goto("https://www.google.com/maps/search/Starbucks/@26.8484046,75.7215344,12z/data=!3m1!4b1" , {
            waitUntil: 'domcontentloaded',
            timeout: 60000
        })
        
        await page.waitForTimeout(3000);
        
        let data =  await scrollPage(page,".m6QErb[aria-label]",2)
        
        console.log(data)
        await browser.close();
        }; Step-by-step explanation: - This will launch the Chromium browser with the options we have set in our code. In our case, we are launching our browser in non-headless mode. puppeteer.launch() - This will open a new page or tab in the browser. browser.newPage() - It is used to pass HTTP headers with every request the page initiates. page.setExtraHTTPHeaders() - This will navigate the page to the specified target URL. page.goto() - It will cause the page to wait for 3 seconds to do further operations. page.waitForTimeout() - At last, we called our infinite scroller to extract the data we need with the , the tag for the scroller , and the number of items we want as parameters. scrollPage() page div Now, let us prepare the infinite scroller. const scrollPage = async(page, scrollContainer, itemTargetCount) => {
        let items = [];
        let previousHeight = await page.evaluate(`document.querySelector("${scrollContainer}").scrollHeight`);
        while (itemTargetCount > items.length) {
            items = await extractItems(page);
            await page.evaluate(`document.querySelector("${scrollContainer}").scrollTo(0, document.querySelector("${scrollContainer}").scrollHeight)`);
            await page.evaluate(`document.querySelector("${scrollContainer}").scrollHeight > ${previousHeight}`);
            await page.waitForTimeout(2000);
        }
        return items;
    } Step-by-step explanation: - Scroll the height of the container. previousHeight - Function to parse the scraped HTML. extractItems() In the next step, we just scrolled down the container to a height equal to . previousHeight And in the last step, we waited for the container to scroll down until its height got greater than the previous height. And, at last, we will talk about our parser. const extractItems = async(page)  => {
        let maps_data = await page.evaluate(() => {
        return Array.from(document.querySelectorAll(".Nv2PK")).map((el) => {
            const link = el.querySelector("a.hfpxzc").getAttribute("href");
            return {
            title: el.querySelector(".qBF1Pd")?.textContent.trim(),
            avg_rating: el.querySelector(".MW4etd")?.textContent.trim(),
            reviews: el.querySelector(".UY7F9")?.textContent.replace("(", "").replace(")", "").trim(),
            address: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(1) > span:last-child")?.textContent.replaceAll("·", "").trim(),
            description: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(2)")?.textContent.replace("·", "").trim(),
            website: el.querySelector("a.lcr4fd")?.getAttribute("href"),
            category: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(1) > span:first-child")?.textContent.replaceAll("·", "").trim(),
            timings: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(3) > span:first-child")?.textContent.replaceAll("·", "").trim(),
            phone_num: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(3) > span:last-child")?.textContent.replaceAll("·", "").trim(),
            extra_services: el.querySelector(".qty3Ue")?.textContent.replaceAll("·", "").replaceAll("  ", " ").trim(),
            latitude: link.split("!8m2!3d")[1].split("!4d")[0],
            longitude: link.split("!4d")[1].split("!16s")[0],
            link,
            dataId: link.split("1s")[1].split("!8m")[0],
            };
        });
        });
        return maps_data;
        } Step-by-step explanation: - It will return all the elements that match the specified CSS selector. In our case, it is . document.querySelectorAll() Nv2PK -This will return the attribute value of the specified element. getAttribute() - It returns the text content inside the selected HTML element. textContent - Used to split a string into substrings with the help of a specified separator and return them as an array. split() - Removes the spaces from the starting and end of the string. trim() - Replaces the specified pattern from the whole string. replaceAll() Here is the full code: const puppeteer = require('puppeteer');

    const extractItems = async(page)  => {
        let maps_data = await page.evaluate(() => {
        return Array.from(document.querySelectorAll(".Nv2PK")).map((el) => {
            const link = el.querySelector("a.hfpxzc").getAttribute("href");
            return {
            title: el.querySelector(".qBF1Pd")?.textContent.trim(),
            avg_rating: el.querySelector(".MW4etd")?.textContent.trim(),
            reviews: el.querySelector(".UY7F9")?.textContent.replace("(", "").replace(")", "").trim(),
            address: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(1) > span:last-child")?.textContent.replaceAll("·", "").trim(),
            description: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(2)")?.textContent.replace("·", "").trim(),
            website: el.querySelector("a.lcr4fd")?.getAttribute("href"),
            category: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(1) > span:first-child")?.textContent.replaceAll("·", "").trim(),
            timings: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(3) > span:first-child")?.textContent.replaceAll("·", "").trim(),
            phone_num: el.querySelector(".W4Efsd:last-child > .W4Efsd:nth-of-type(3) > span:last-child")?.textContent.replaceAll("·", "").trim(),
            extra_services: el.querySelector(".qty3Ue")?.textContent.replaceAll("·", "").replaceAll("  ", " ").trim(),
            latitude: link.split("!8m2!3d")[1].split("!4d")[0],
            longitude: link.split("!4d")[1].split("!16s")[0],
            link,
            dataId: link.split("1s")[1].split("!8m")[0],
            };
        });
        });
        return maps_data;
        }
    
        const scrollPage = async(page, scrollContainer, itemTargetCount) => {
        let items = [];
        let previousHeight = await page.evaluate(`document.querySelector("${scrollContainer}").scrollHeight`);
        while (itemTargetCount > items.length) {
            items = await extractItems(page);
            await page.evaluate(`document.querySelector("${scrollContainer}").scrollTo(0, document.querySelector("${scrollContainer}").scrollHeight)`);
            await page.evaluate(`document.querySelector("${scrollContainer}").scrollHeight > ${previousHeight}`);
            await page.waitForTimeout(2000);
        }
        return items;
        }
    
    
    
    const getMapsData = async () => {
        browser = await puppeteer.launch({
        headless: false,
        args: ["--disabled-setuid-sandbox", "--no-sandbox"],
        });
        const [page] = await browser.pages();
        await page.setExtraHTTPHeaders({
            "User-Agent":
            "Mozilla/5.0 (Macintosh; Intel Mac OS X 11_10) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4882.194 Safari/537.36",
        })
        
    
        await page.goto("https://www.google.com/maps/search/Starbucks/@26.8484046,75.7215344,12z/data=!3m1!4b1" , {
            waitUntil: 'domcontentloaded',
            timeout: 60000
        })
    
        await page.waitForTimeout(5000)  
    
    let data =  await scrollPage(page,".m6QErb[aria-label]",2)
    
    console.log(data)
    await browser.close();
    };
    
    getMapsData(); Results: Our result should look like this 👇🏻: [
    {
        title: 'The Coffee Bean & Tea Leaf',
        avg_rating: '4.7',
        reviews: '79',
        address: 'The Coffee Bean & Tea Lea,Ground Floor, Epicuria Food Court, Plot No-10 Shivaji Place, Najafgarh Rd',
        description: 'Chain coffee bar known for frozen drinks',
        category: 'Coffee shop',
        timings: 'Open ⋅ Closes 11PM',
        phone_num: 'Open ⋅ Closes 11PM',
        extra_services: 'Dine-in   Drive-through   No-contact delivery      Reserve a table',
        latitude: '28.6511983',
        longitude: '77.1215014',
        link: 'https://www.google.com/maps/place/The+Coffee+Bean+%26+Tea+Leaf/data=!4m7!3m6!1s0x390ce3a69997ad37:0xff83fd9a57a7a71e!8m2!3d28.6511983!4d77.1215014!16s%2Fg%2F11sgxr14tq!19sChIJN62XmabjDDkRHqenV5r9g_8?authuser=0&hl=en&rclk=1',
        dataId: '0x390ce3a69997ad37:0xff83fd9a57a7a71e'
    },
    {
        title: 'The Coffee Bean & Tea Leaf',
        avg_rating: '4.0',
        reviews: '271',
        address: 'T320, Ambience Mall, Gurgaon - Delhi Expy',
        description: 'Chain coffee bar known for frozen drinks',
        category: 'Coffee shop',
        timings: 'Open ⋅ Closes 11PM',
        phone_num: 'Open ⋅ Closes 11PM',
        extra_services: 'Dine-in   Takeaway   No-contact delivery',
        latitude: '28.5041789',
        longitude: '77.0970538',
        link: 'https://www.google.com/maps/place/The+Coffee+Bean+%26+Tea+Leaf/data=!4m7!3m6!1s0x390d194c1a223247:0x611f25bf4fddaf08!8m2!3d28.5041789!4d77.0970538!16s%2Fg%2F11cs6ch67r!19sChIJRzIiGkwZDTkRCK_dT78lH2E?authuser=0&hl=en&rclk=1',
        dataId: '0x390d194c1a223247:0x611f25bf4fddaf08'
    },
    ..... Serpdog's Google Maps Reviews API Scraping, in the long run, can become a time-consuming process as it requires you to maintain the scraper according to changing CSS Selectors. To solve this problem, we at also offer that returns the HTML and readymade structured JSON data to the users. Currently, we are working on Google Maps API, which we will launch after some time. Serpdog | Google Search API Google Maps Reviews API Scraping Google also requires solving captchas, a large pool of User agents, and proxies, but Serpdog solves all these problems on its behalf for a smooth scraping experience. Our users also get 100 free requests on the first . sign-up const axios = require('axios');

    axios.get('https://api.serpdog.io/reviews?api_key=APIKEY&data_id=0x89c25090129c363d:0x40c6a5770d25022b')
        .then(response => {
        console.log(response.data);
        })
        .catch(error => {
        console.log(error);
        }); Results: "location_info": {
    "title": "Statue of Liberty",
    "address": "New York, NY",
    "avgRating": "4.7",
    "totalReviews": "83,109 reviews"
    },
    "reviews": [
    {
        "user": {
        "name": "Vo Kien Thanh",
        "link": "https://www.google.com/maps/contrib/106465550436934504158?hl=en-US&sa=X&ved=2ahUKEwj7zY_J4cv4AhUID0QIHZCtC0cQvvQBegQIARAZ",
        "thumbnail": "https://lh3.googleusercontent.com/a/AATXAJxv5_uPnmyIeoARlf7gMWCduHV1cNI20UnwPicE=s40-c-c0x00000000-cc-rp-mo-ba4-br100",
        "localGuide": true,
        "reviews": "111",
        "photos": "329"
        },
        "rating": "Rated 5.0 out of 5,",
        "duration": "5 months ago",
        "snippet": "The icon of the U.S. 🗽🇺🇸. This is a must-see for everyone who visits New York City, you would never want to miss it.There’s only one cruise line that is allowed to enter the Liberty Island and Ellis Island, which is Statue Cruises. You can purchase tickets at the Battery Park but I’d recommend you purchase it in advance. For $23/adult it’s actually very reasonably priced. Make sure you go early because you will have to go through security at the port. Also take a look at the departure schedule available on the website to plan your trip accordingly.As for the Statue of Liberty, it was my first time seeing it in person so what I could say was a wow. It was absolutely amazing to see this monument. I also purchased the pedestal access so it was pretty cool to see the inside of the statue. They’re not doing the Crown Access due to Covid-19 concerns, but I hope it will be resumed soon.There are a gift shop, a cafeteria and a museum on the island. I would say it takes around 2-3 hours to do everything here because you would want to take as many photos as possible.I absolutely loved it here and I can’t wait to come back.The icon of the U.S. 🗽🇺🇸. This is a must-see for everyone who visits New York City, you would never want to miss it. …More",
        "visited": "",
        "likes": "91",
        "images": [
        "https://lh5.googleusercontent.com/p/AF1QipPOBhJtq17DAc9_ZTBnN2X4Nn-EwIEet61Y9JQo=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipPZ2ut1I7LnECqEB2vzrBk-PSXzBxaHEE4S54lk=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipM8nIogBhwcL-dUrd7KaIxZcc_SA6YnJpp50R0C=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipPQ-YP7uw_gHTNb1gGZSGRGRrzLMzOrvh98AmSN=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipOTqBzK30vQZi9lfuhpk5329bnx-twzgIVjwcI1=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipN0TWUE35ajoTdSKelspuUpK-ZTXlRRR9SfPbTa=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipPQH_4HtdXmSdkCiDTv2jO30LksCxpe9KQI4YKw=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipN_OfX2TgXVNry5fli5v-yExbyTAfV4K7SEy3T0=w100-h100-p-n-k-no",
        "https://lh5.googleusercontent.com/p/AF1QipNWKl0TeBmnzMaR_W4-7skitDwHjjJxPePbiSyd=w100-h100-p-n-k-no"
        ]
    },
        ........ Conclusion: This tutorial taught us to scrape Google Maps Results using Node JS. Feel free to if I missed something. Follow me on . Thanks for reading! message me Twitter Additional Resources Scrape Google Organic Search Results Web Scraping Google Images Scrape Google News Results Web Scraping Google With Node JS - A Complete Guide Originally published here.

How to Scrape Data from Google Maps

15+ Best Multi vendor Marketplace Platforms 2022 to Build Your Ecommerce Website & Apps

A SLIP UNDER THE MICROSCOPE

IN THE MODERN VEIN

The online marketplace platform offers a great opportunity for buyers and sellers to get in contact and sell and buy products through the platform. Classified marketplace platforms are much more comfortable as the user can be both a seller and a buyer. Every aspiring entrepreneur shows interest in building a website like OLX, which is one of the leading classified platforms. Building a buy sell classified ad listing platform is not as easy as we think. There are several hurdles and challenges to be confronted to survive in the market. Let us Find out Simple Ways How to Make a Website Like OLX. Step 1. Start with a perfect domain name Every online buy sell marketplace platform should have a catchy domain name that will help in getting more traffic. Visitors should be able to remember your domain name so that they can easily type and enter without any difficulty. So, you need to make sure your domain name is short and simple and it should hold your business or brand name that will make it easy for you to get better brand recognition. Step 2: Choose the Perfect Classified Platform Once you finalize the domain name, the next process will be choosing the perfect platform to build your marketplace. The platform should be user-friendly and also mobile responsive. You need to check all modules that will support your business operations and will help you to reach your sales target. Make sure that the platform is SSL certified and that it protects the entire user data from all malware attacks. Step 3: Install themes and plugins To simplify your business operations, you need to add more plugins that are available online. Each platform you choose for your marketplace will support certain plugins and most of them will be free of cost. You can download them and integrate them with your marketplace. Along with plugins, you will also find themes for download. You can use them to customize the look and feel of your platform and make it more appealing to your audience. Step 4: Focus on your content Now you have framed your platform well. The next process is to fill the appropriate content that will explain your business, your products, and your services. You need to have a perfect content management system that will grab the attention of your target audience and will get you better traffic to your website. A clear product description will help the buyer to understand more about the product and will make him decide on buying it. This is possible only through effective content. Step 5: Make sure that all features are present Features play a crucial role in determining the success of your eCommerce website. When you think about how to build a website like OLX, the first thing that should come to your mind is its features. OLX has gained more users mainly because of its unbeatable features. The customer-centric features have helped the platform gain credibility among its audience. Let us check out the must-have features that are to be integrated while building a website like OLX. Simple user registration that will let all user groups easily register themselves. Advanced search and filtering option to find the product in a few clicks. Add favorite products to the cart that will help buyers to buy them later when needed. Multiple payment options let buyers choose the one that is comfortable for them to pay. Simplified order management that will support on-time delivery. The review and rating system will support customers to share their feedback. Social media sharing is very essential for customers to post them on their social pages. Search engine optimized platform to get better search engine page ranking. Attractive UI and UX to get better traffic. Best loading speed to reduce the bounce rate of the platform. In-built marketing tools for branding and promotion. Advanced analytics and reporting features to know the performance of the marketplace. Step 6: Move your website live After setting all features, modules, plugins, and add-ons, it’s high time to launch your platform online and start your business effectively. For this, you need to rely on a perfect hosting service provider. Choose the best service that can give you a better loading speed and can help you in backing up all your customer data periodically. Check for their customer support because you need to be sure that your website will be live without any interruption. Step 7: Monetize your website You need to understand that you will not get orders or start earning immediately after launching your platform online. You need to increase your revenue channels that will assure your of better returns. Apart from the commission, you will get on each order, you need to have many more revenue sources that will increase your income. Featured Ads Listing fee Third-party advertisements Pay to post Affiliate modules Premium fee You need to have all the above in your so that you can earn well like OLX. ecommerce software How Much Does it Cost to Make a Website Like OLX When you work on how to make a website like OLX, the first question that arises in your mind will be the cost of the development. You can be a startup or an SME or even a corporate, without knowing the cost you cannot decide anything. We need to know the costing and should arrange funds accordingly. Many crucial factors are involved in estimating the cost of the development of a website like OLX. The UI and UX you prefer Number of users who will be involved in using the platform Skilled developers Hosting cost Maintenance cost Branding and promotion cost All the above-mentioned aspects should be pre-planned if you want to know about the cost. Users can also go for a readymade solution that will have all power-packed features and it will be ready-to-launch. This will be more cost-effective when compared to the one that is built from scratch. Conclusion Before focusing on how to make a website like OLX, you need to do all the preliminary works that are essential to run your successfully. Without proper market understanding, no one can stand in the market. To make it a grand success, you need to analyze more and should have a clear understanding of your competitors’ strategies. This will help you beat them and retain your customers and increase your customer base. classified marketplace

How to Build, Launch & Grow a Profitable Classified Website Like OLX - From Start to Profit

About are millennial, and the GenZs are expected to comprise 27 percent of the workforce by 2025! These generations grew up surfing the internet and expect their workplaces to be technologically savvy. Moreover, they need their workplace to be their happy place—in terms of money, management, benefits, and work satisfaction. 37 percent of the global workforce Moreover, how a company manages its workforce directly impacts how employees feel about them. The better they feel, the higher their productivity and chances of sticking with your company will be. Having the right set of software in your arsenal is one of the best things you can do. They help streamline operations within your organisation, , and increase productivity. reduce workplace stress Criteria for selecting a software It can be overwhelming to select the right software, considering there are multiple options available today. Here are three qualities you should look for in workforce management software. 1. Security A cyber attack on your company can have several implications—revenue loss, operational downtime, reputational damage, stolen assets, etc. This is bound to happen in a hybrid work culture when employees use their personal devices from home without security protections. Look for solutions that provide encrypted data exchange or have anti-spam, anti-phishing features and multi-factor authentication. Source 2. Integration Imagine the hassle of switching between tools to chat with internal teams and external stakeholders! Luckily most workspace software have an integration feature that allows you to access all your software in one place without having to login separately. Source 3. Ease of use You wouldn’t want to invest in a software your team finds challenging to navigate and end up not using it at all! Go with a tool with a low learning curve and high end features that makes your and your employees’ job more manageable instead of complicating it. Source My top recommendations for workforce management software There’s no one size fits all solution that can take care of all your . For instance, the HR teams might need a solution to handle their HR operations, or the IT team might need a better way to manage their projects. business operations For your convenience, we’ve listed one software for each category of business verticals. 1. Perkbox: employee engagement As per an employee engagement report, only felt that the morale within their department is good. 42 percent of employees in the state of Vermont You see, bad morale is the silent killer of the productivity and performance of your employees. Perkbox is an employee engagement tool that helps you connect closely with your employee and put them first. It allows you to recognize top talents within your organisation and reward them for their hardwork. Here’s everything the tool offers to help you boost employee engagement. It helps you reward your employees with a variety of perks and discounts to make them feel valued You can build an amazing work culture by coming up with to keep them motivated employee engagement ideas It comes with a variety of on demand content to support employee well being It has admin features to help you manage and track usage, saving you time, money and resources The best part? It seamlessly integrates with your favorite HR management platform, allowing you to quickly onboard and offboard users. Moreover, it lets you securely login and navigates through different tools with the help of single signon. 2. Leapsome: work survey platform Managing employees would be much easier if only we could know how employees feel. The problem is most HR leaders don’t know how to measure their employee experience. Especially in hybrid work culture, it gets more challenging to know when an employee is unhappy or behaving differently than usual. Luckily, we have survey platforms that allow us to checkin with employees and help them feel valued at work. They help you send out thoughtful surveys asking them to know their experience. remote work survey questions Leapsome is one such employee survey platform that helps you run surveys of different kinds, including eNPS, engagement, and pulse surveys. It has an abundance of templates to help you quickly create surveys within minutes! It also offers people analytics to help you visualise and interpret the data your collect. Additionally, it’s super intuitive, easy to use and scalable, and you can easily integrate it with your HR and communication softwares. It’s also fully compliant with GDPR and offers enterprise level security. 3. ClickUp: project management It’s 2022, and if you’re still relying on sheets and documents to manage your tasks and projects, you’re missing out on a lot! ClickUp is a highly versatile tool for project management that allows you to manage all your tasks and projects on one platform. You get to see your workspace in more than fifteen views, such as custom dashboards, Gantt Charts, lists, calendars, timelines, mindmap, and many more. Even the free version of it is loaded with features! Here’s everything the powerful project management tool has to offer. A birdseye view of everything you’ve been working on—all tasks across every level of your organisation Ability to organise work in any view suiting your needs Easy nocode customisation Seamless collaboration with teams with features like whiteboard, proofing, email, chat, etc ClickUp docs to help you document anything on the go and share it with your team Realtime reporting to know what’s working and what’s not and measure your goals Global time tracking to have more control over time 4. Monday: HRM software Manually handling HR operations such as onboarding, managing attendance, payroll, etc., is not feasible today. Reason—the job of HR professionals is no longer limited to managing administrative and financial tasks. Their obligations have changed. They now also participate in the planning, development, and decision-making processes. This calls for automating all time-consuming manual procedures and streamlining the entire HR management lifecycle. HR management tools like Monday.com is your best bet to automate recurring HR operations and streamline them. It helps you manage employees effortlessly and provide the best experience. You get access to every employee’s day to day performance It helps you attract top talents with your smooth onboarding processes It helps you retain employees with activities dedicated to employee wellbeing It has readymade templates to help you create your own workflow and specific use cases You have transparency in performance review processes 5. Microsoft Teams: team communication The hybrid work culture has made it more difficult for remote teams to and accountable for their work. The issue arises when there is miscommunication, lack of engagement, and untimely updates between remote teams. This silo mindset hurts an organisation's vision and delays the team's progress. stay productive Microsoft teams is a team collaboration and video conferencing platform that brings teams together irrespective of location. Users can text, video call, group message, or send voice notes to their teammates to provide realtime updates on their work. The meeting tool has various features, including blurred backgrounds, viewing modes, breakout rooms, screen sharing, meeting recording, and live transcription. Moreover, if your company uses other Microsoft products such as Onedrive, Sharepoint, Powerpoint, etc., the collaboration becomes more intuitive. The collaboration software also provides end-to-end encryption (E2EE) in all team communications, making it one of the safest tools to work with! In a nutshell These workforce management tools are the holygrails, especially when you manage distributed teams. They help you streamline many operations in your business—task delegation, team communication, time tracking, employee attendance, payroll processing, and so much more! However, remember not to get overwhelmed by the wide variety available today—focus on what your business needs, what your employees need, and what you can do to keep them content and productive.

5 Software Solutions To Help You Manage Your Workforce

You must have heard about big data and the theory used behind it. However, are you aware of the top industries where data analytics is being used for changing the way we work in the actual world? Let's take a close look at the top big data industries and how they are getting reshaped by using data analytics. The main idea behind using big data is that it is a new method for gaining insight into the challenges faced by various companies each day. In earlier days it was not possible to collect and interpret a vast quantity of data because there was no technology available. 1. : Different retail banks extensively for understanding the way their customers utilize their accounts and to help in identifying security risks. These banks will leverage the big data from location intelligence for deciding how to manage their branch locations more efficiently. It will also allow them to set location-based goals in terms of performance. Big data might also become the basis for different banks to aid clients in using their cash more efficiently. It is not a secret that investment banks are investing heavily in the use of big data to get an idea about the market and take smart, educated trading decisions based on it. Banking utilize big data 2. : Agricultural professionals and farmers will not come to your mind when you are thinking about big data. But, keep in mind that these days data analytics are critical for the agriculture industry. The industry is poised to grow and become more significant. There are requirements for the Agri sector such as prediction of weather, and squeezing greater productivity from the available land. This means that data analytics has become necessary for the increasing number of people in the world. Agriculture 3. : Many real estate firms these days are leveraging for achieving better analysis of their properties. You can also get an apartment market survey for better trend analysis and a greater understanding of the clientele and the market. Similarly, property management businesses also use the big data collected from their different building systems for optimizing their performance and finding out the areas of concern. They can also use it for streamlining the maintenance processes. Property management and real estate big data 4. : Even the telecom industry uses big data these days for improving many sectors. You can get a better fraud reduction, a better customer experience, a better churn prediction, and also dynamic pricing. And now with the 5G phones rolling out gradually, big data will continue to play a vital role, especially in network planning, network monitoring, and overall management. By using big data, the telecom industry will no longer just dial it in while they are using effective data analytics. Telecom 5. : The use of data has always been critical for doctors that are trying to figure out things depending on the analysis of a big number of data points collected from the patients. Data about things such as how much sugar you should be taking every day is necessary. Or, what is the normal blood pressure level to be maintained? These days the healthcare industry is utilizing data analytics with tools like medical for answering larger and more complex queries. For instance, you might be looking to discover whether a patient is at a bigger risk than normal due to substance addiction. Or, you may wish to find methods for treating the patients that are using the substance. Big data can be extremely useful in these areas. Going forward in the healthcare industry, data collection via devices such as wearables and smartphones is going to aid doctors in understanding their patients better. Healthcare knowledge graphs Conclusion It doesn’t matter whether you are working in one of these industries or other ones. There is every chance that accepting big data operations is crucial for innovation and being relevant to the modern world that depends a great deal on big data. There are data integration solutions offered by many companies such as Radix that can help you in ensuring that the data you are collecting is actionable. You have to be ready to analyze the available data by using these data analytics platforms. Apart from this, there are readymade products available in the market that provide good context to the existing data. You can make educated business decisions by looking at this data.

How Different Industries Put Data Analytics to Use

Last Updated — August 07 , 2023 In this article, I’ll walk you through what you need to take care before starting a VOD business and then how to create a video on demand website and app to sell your videos worldwide. Earlier those days, there has been an entertaining piece that was known popularly as tele viewing after a long tiring day! When we use to search for something viewable & get disheartened with the least number of entertaining choices... But thank god there is a revolution today when it comes to media and entertainment which also offers you to earn your bread and butter through it too!! How amazing that is, isn't it! Due to the front end tech innovation of the media & entertainment industry now it has become worthwhile to have the audience's attention. Beyond any doubt streaming services like Netfllix, Hulu or Amazon Instant Video have got it covered and provide plenty of options to watch according to your choice in the form of videos-on-demand, movies, TV shows, events, etc,.. Now you must be wondering how to create your own video on demand platform and become a popular video streaming giant just like Netflix? Well, to know that, In this article, I’ll walk you through what you need to take care before launching a VOD business and then how to build a video on demand app to sell your videos worldwide. What’s all About Video on Demand Website? On-demand streaming services are one of those trends that have been contemporary designed to start a video on demand business. Although it was started by the millennials, this mode of entertainment has caught on like wildfire with every generation starting from baby boomers to Gen Z. The prediction graphs favor the climate of video on demand business than any other form of entertainment. The revenue of the video-on-demand industry is projected to reach US $36,509M in 2020. And the market is expected to grow at a rate of 3.6% which has a market volume of US $42,089 Million by 2024 With these exceptional stats, it’s a promising opportunity for content creators, distributors, production houses, studio owners to invest in building a video on demand website like Netflix. As 2020 is experiencing great opportunity for content creators, video on demand platforms no exception to reach the targeted audience and generate revenue. The word video-on-demand reflects the worth of Netflix -like applications that it has achieved. Creating a video streaming platform like Netflix can be achieved through certain parameters and technological understanding. Now let’s know the nuances of making your own VOD platform with simple techniques… How to Create Your Own Video On Demand Streaming App? It is highly essential to know what kind of content will your video-on-demand platform stream?? To give a hint on how to create an apt streaming platform, we have gathered some ideas according to your industry to help you understand better…. - The old distribution model of film making needs to be considerably changed. So selling your best-graded content globally is the best choice for your own movie streaming platform, just like Netflix or Disney Hotstar.. Media & Entertainment -  Prepare your entire business model that would be loved by people to pay for by building health-oriented video on demand website and have unlimited accessibility. Fitness enthusiasts can continue to maintain their fitness regime through interactive videos or via live streams. Health & Fitness - Teach your peers through customized E-learning video streaming platform with special E-classroom functionalities, categorical video-capture lectures and monetization models that best fits your business. Education & Elearning - Keep up with content distributors to provide an ideal tech stack sports streaming services just like FuboTV, Hulu, AT&T and provide simultaneous streams with live mobile broadcasting hassle-free relays. Sports & Athletics So now you must have got a fair idea as to how to start a video on demand business with its particular parameters keeping in mind. Now we’’ll take you further! Decide on the content availability We know that your video streaming services are based on providing on-demand content that determines your choice of distribution. Possibly, there holds only two major options Would you like to utilize on-demand video content from other content distributors? Would you be interested in creating original content and distributing through your own authorized, self-hosted video streaming platform? Choice is yours! If you were to associate with other video content publishers, make sure to have licensing agreements in order to hold viewing rights to your target audience. Here to simplify it further, there are two choices to organize your VOD content effectively! One of it is, you could provide rental movies to your audience from an authorized distributor with authentic licenses. Second one talks about the copyright holder whom you can associate with and own the essential content copyrights. These legitimate options can favour you, according to your key video-on-demand streaming business goals that can help you to build the best video on demand website. So far you must be knowing what type of content should be put while understanding how to create your own VOD platform. Oh, my, that's essential! Also, it’s crystal clear as to what kind of procedures copyright protocols take for you to build a well-defined video on demand website just like Netflix. Just if we build an online video on demand platform with necessary functionalities, won’t be enough to run your revenues, right! It’s quite necessary to know what kind of resources will suffice your money-making business into a profitable one! Well, we'll help you answer that, don’t worry! Choose The Apt VOD Monetization Model: In the line of entertaining VOD streaming market, there are three categories of building a video monetization platform dias helping you to flourish in this line of business. They are: - For your proposed video-on-demand solution you can go for the direct pricing scheme which means that you can charge your users for each video and can gain the best watching experience.  This model is also named as “Transactional Video-On-Demand”. You can make use of it broadcasting concerts, virtual conferences, sporting events or trade shows on your own streaming platform. Pay-Per-View - In your other prospective genre offusing on-demand streaming software, you can also charge other firms a fee for streaming video advertisements on your very own platform. Usually, this type of monetization is meant to be effective &  would benefit amongst users in your streaming website. Advertising - You might as well know that Netflix uses the same subscription strategy for monetization. In this model, subscribers are charged a fee on a monthly basis to receive access to your content repository. You can very well use this monetization technique with regular release of new video content on your VOD platform. Subscription Next comes to understand the streaming requirements of your VOD platform & build a website  like Netflix… Study The VOD Streaming App Requirements: Internet Speed Well, the internet speed impacts the ability of streaming high quality on-demand videos, so make sure your HD or 3D broadcasts have much higher internet speed. Cloud Hosting and Computing Architecture On demand video streaming platform requires flexible cloud hosting solutions that provide quick video content access with lots of increased spaces. This is created using microservice architecture technology with many small units either & rendered on-premises or stored in a cloud server directly. Network Connectivity Every video on demand solution depends on content delivery network integration that scales up your significant streaming business in future. So, increase your traffic using powerful CDNs to supplant your server networking. Security Of course, you need to ensure that your video streaming service is safe and secure, across each and every authorized customer device, possibly. Thanks to the Multi DRM platform support where now you could also get and have IP-based access control to safeguard your noteworthy content. Payment Gateway You can provide plenty of payment gateway options to your subscribers using varied financial payment support systems like Visa, MasterCard, PayPal or other credit/debit cards. Ok.. We have seen by all means you could entice your video monetization opportunities by considering several factors and know how to create a stunning streaming platform for yourself... Moving on, we'll focus on your dearest customers! Focus on your audiences: You need to know for whom you are actually catering your on-demand streaming services, that helps to bring effectiveness in your proposed business model..  And majorly with business comes into role play only, via its ardent, supportive customers or your audience… Don’t you want to have a focused say on them too? Of course, that’s vital too! Turn your audio and videos into assets through VPlayed’s video marketing solutions. Broadcast your content socially and create a wider range of audience networking. VPlayed - A Perfect Video on Demand Solution For Content Owners is completely a customizable VOD streaming solution that helps content owners, businesses to build a video on demand platform like Netflix. The content owners or distributors can have complete ownership of the video on demand website with their own brand name. VPlayed is equipped with a scalable content management system to deliver the right content to the right audience irrespective of geographical locations. On top of it, VPlayed’s video on demand solution comprises multiple monetization models than Netflix to monetize each content based on preference. VPlayed So what makes this video on demand solution stand tall among the crowd? To put it into perspective, we have created a list of features that are the onus to VPlayed’s style of curating solutions. Readymade solutions call for cutting down the hatching time. But that doesn’t mean your product should be monotonous or generic. Go for a solution that incorporates your expectations with customizations. Readymade Yet Customizable: Where you store your data should be decided by you. VPlayed provides the choice of using cloud servers such as Microsoft Azure, Google, Akamai, AWS or building an on-premise hosting system. On Cloud/ On Premise Hosting: AES encryption, Access control, and Data Rights Management offer a secured pathway for your data to be streamed and published. These security measures make sure your content stays free from any kind of security breach or infringements. 3-tier Security: Monetize your content with a wide range of options at your dispense. Video on demand websites has promising returns in ads, subscription plans, transactional schemes, catch up and push TV monetizing models. Multiple Monetization Models: HTTP live streaming is a media streaming communication protocol that is used to stream video content hassle-free. HLS player breaks the overall video stream into small HTTP-based file downloads, resulting in faster, errorless streaming. Manage, organize and, modify your digital content efficiently with VPlayed CMS that perpetuates a collaborative environment. curates everything from format management, editing, to publishing. Get an in-depth analysis of your revenue stats, users and their activities with VPlayed metric graphs. The dashboard breaks down the timeline of the activities the users are engaging in with clear-cut numbers of watch count display, most favorited and most commented videos. All Device Player (HLS): Video Content Management System: Video CMS platform Analytics: Launch your video on demand platform like Netflix on multiple screens such as Smartphones, Smart TV, Web, TV Set-Top Boxes, Android, iOS platforms and much more. This increases the opportunity to reach a wider audience base irrespective of devices and targeted audience. The functionality enables your users to have a complete view of the activity based on their preferences like Watched movies, subscribed channels, Logged-in devices, activation and deactivation of subscription plans and much more. Multi-screen Support: User Profile Management: With all the essential marketing features, Market your entire content across devices and unlock the true potential of every content that helps to monetize. The marketing tools help to track and monitor your content reach within the video on demand platform to grow your audience base. Integrated Video Marketing: Integrate multiple payment gateways to your platform with multi-currency compatibility. In addition, you can also view the duration each of your users has validity over their subscription, and when they would have to recharge again. The plans you provide for your users can be customized whenever you wish, with options to add new plans separately. Payment Method: Cloud or on-premise storage — Whatever your take may be, we do not drift from our quality. Get unlimited video/audio storage in any format and transcode with seamless operational quality. Unlimited Video Storage: Monitor and manage which content gets streamed where across the globe. Geo-blocking comes in handy to abide by national laws and have your platform in good books across borders. Geographic Blocking of Video Content: Leave no space for buffering and latency. VPlayed offers instant playback with its advanced HLS player without having to worry about streaming ads, having high-end user-friendly UI and other customizations. Instant Playback & Return: Conclusion: Creating your own video on demand website is no simple task. But along with the giant comes even bigger positive outcome. So if you are an entrepreneur who is considering to venture into this stream of entertainment, think no further. Make sure you fend to the needs of your focus population through your own with custom awe-inspiring features that woo them to your platform. VOD streaming platform

How to Get Started Building Your Own Video on Demand Website Like Netflix?

Are JWTs really dead, or are they just misunderstood? I’ve seen quite a few articles lately suggesting that the advent of Web3 and the spreading usage of wallets will lead to users ditching traditional email/password-based account systems, and instead, logging in using their wallet. To be honest, after using a few dApps, the super simple workflow of a click or two of your wallet that pops up is indeed a superior experience. Many of these articles go on to say “yay we don’t need JWTs anymore!”. This is where I disagree. JWTs, while a bit confusing at first, are incredibly useful for backend engineers, especially those of microservice systems. , considering that these systems - a great number of them - already exist and already integrate with JWTs! Ethereum is great and all, but we really do not need to reinvent the wheel. It’s good to be able to continue using the same backend tools you are used to when you need to. Especially Logging in with MetaMask proves it’s you - but how do you prove to future API calls it is you? The “screw-JWT” crowd suggests using simple Session IDs, but this is a step backward to the early 2000s, mind you, when simple layered architectures were the standard, which did not have the complexities of today’s backend systems. Unfortunately, Session IDs can not be verified without an additional round trip to the database to determine whether or not the Session ID granted belongs to a valid session. This means when the backend service receives the request that contains the session ID, it then makes a request itself to the auth server asking “is this active” - and then every other service in the Microservice system asks the same. If there are several services involved, that could be several additional round trips to the auth service. In order to remedy this situation, cryptographic experts got thinking. What they came up with was JWTs - now part of the OpenID standard, you know, the one that Keycloak, Auth0, and others help you to implement. JWTs, y’all The solution was to grant a set of tokens - JSON Web Tokens to be precise. That set consists of an , a , and an . These tokens were then “signed” by a secret - usually called the . Signing, just so we’re on the same page, is a cryptographic hashing algorithm, in the case of JWTs – usually (the default for Auth0).  In the case of the is used as the input and hence, becomes the key needed to successfully decipher that hash - or “verify” it.  With and a public/private key pair are used, i.e. signed by private key, and verified with public key on the client. AccessToken RefreshToken IdToken ClientSecret HS256 HS256 ClientSecret RS256 ES256 This means if a backend service receives one of these tokens, and it knows the , it can verify that the token was actually issued by the auth service which signed that token. The token used when attempting to access a backend service is the . These tokens specifically contain information about who the user is as well as their “claims”, or in other words, what they are allowed to do formatted for the system that cares about it. ClientSecret AccessToken For microservice systems, this means each service that cares about verifying identity just needs to know about the as they can verify the JWT is authentic using it, rather than a roundtrip to the database. In a system with many microservices, this can reduce many additional round trips to the database, making the entire system more scalable. ClientSecret Access tokens, if stolen, can be used maliciously, and for that reason, it’s important to take the appropriate precautions when designing a system to use them. The set of precautions, on top of signing and verifying the tokens consist of: minimum Setting an expiration date on the Access Token JWT of 5-15 minutes and making sure tokens are not expired when received Don’t store the Access Token except for in memory Issue Refresh Tokens that can be stored and sent to a server for verification, and refreshed along with using the and that issued it. ClientSecret ClientId Only use when transmitted over TLS connections (HTTPS) Use HTTP Only cookies so they can not be modified on the browser side CORS settings A key of the same size as the hash output (for instance, 256 bits for "HS256") or larger MUST be used with this algorithm. - , note: bits for HS256. RFC7518 Auth0 uses 512 A confidential client needs an intermediary server, such as Node.js - this server is a proxy to the auth service so the client need not know about the client secret. A public client exposes the client secret, and there isn’t a proxy server between the browser and the auth service. This can be restricted further with CORS settings so only requests from certain domains are allowed. Additional precautions include: Use Rotating Refresh Tokens – each one can only be used once. When used it is exchanged for a whole new set of tokens, and the exchanged refresh token is revoked. If this strategy is employed it’s worth noting that users with a poor internet connection can sometimes not receive the response to the refresh request and try again. For this reason, a short grace period of 30 seconds or so will allow for them to hit refresh and try again. Allowing user to revoke all of their existing refresh tokens by logging out. And probably more - for example, if you detect someone attempting to use a revoked refresh token, you could revoke all of that user’s active refresh tokens. All of these precautions, admittedly, can make getting it right a bit tough. There’s a lot to understand. There’s also usability concerns. A user becoming logged out of your site every 5 minutes would feel pretty annoying to them. To avoid this, a silent refresh loop must be implemented in the consuming application to continually refresh the token set. That said, on the other side of getting it right, is being able to securely integrate with all of your backend systems in a scalable way, as well as many existing tools - such as , which can autogenerate all your APIs for you based on a connected Postgres’ DB schema. Thus, being able to integrate easily with existing tooling can save a lot of development time. Hasura If you use OpenId already, it’s likely you already have these things in place. It is, after all, an authentication standard. So how can we keep the convenience of using JWTs in a Web3 and login with MetaMask world? JWTs and Web3? Let’s start by understanding the OpenId authentication flow used for SSO. You visit a website and want to login with your account - you click the login button You are redirected to the SSO login page - you login with an email/username and password You are redirected back to the original application with a set of JWTs which are stored appropriately and used in silent refresh background flows. In the web3auth world, we are replacing step two with using your wallet’s private and public key pairs to sign a challenge. The redirect is not needed or desired. You visit a website and want to login with your account - you click the login button You are receive a challenge from the auth server which pops open your wallet asking you to “Sign” the challenge. Press sign. The auth server verifies your signature and issues you a set of JWTs which are stored appropriately and used in silent refresh background flows. We’re simply replacing the SSO style redirect flow with a challenge that is signed by your wallet. The flow after receiving the tokens remains the same as OpenID. That means you could for example, switch from using OpenID to using web3auth with a JWT issuing server, and nothing about using those tokens after they are granted would need to change. All your existing backend integrations with tools like Hasura remain exactly the same. This is exactly what I want as a Full Cycle developer. I don’t want to reinvent the wheel. I want to replace OpenID with web3auth and still be able to use all of the powerful tools that I am used to. Unfortunately, I couldn’t find a web3auth server that did this as well as the security precautions. I found a few projects demonstrating techniques in the process, but not the whole flow end to end. So I got to building… I built this here auth server: https://github.com/CloudNativeEntrepreneur/web3auth-service And this here integration to go with it, that implements all the things - silent refresh, yada yada - all those things I mentioned above: SvelteKit https://github.com/CloudNativeEntrepreneur/sveltekit-web3auth Of course if there was gonna be a GraphQL client and example, then there needed to be a GraphQL server and database as well, so I also provided examples of that: + https://github.com/CloudNativeEntrepreneur/example-hasura https://github.com/CloudNativeEntrepreneur/example-readmodel This example uses the and , so all you need to do is declare your DBs and describe your schema in YAML, and Hasura will autogenerate all the GraphQL APIs you need. AND, I made the auth server with Hasura in mind, so it has the proper claims to integrate with Hasura's RBAC and permissions, which are quite robust. Zalando Postgres operator SchemaHero And of course, you need a place to run all that, and so, a local dev cluster that sets up all the tooling like istio, and the operators, and SchemaHero for you! https://github.com/CloudNativeEntrepreneur/local-dev-cluster But who knows how to even use all that? So that's why I made this repo: meta https://github.com/CloudNativeEntrepreneur/web3auth-meta Using that meta repo will clone all the projects you need down into the right places, and run them all together. Finally, to run all the projects together, you need tools installed, and installing tools is annoying - so I made this repo here that will install them all for you! https://github.com/CloudNativeEntrepreneur/onboard I also published on npm, and made a template out of a SvelteKit project that uses it and has GraphQL set up and integrated with authentication to a Hasura instance so when you're ready to make your own projects, you can use that as a template! sveltekit-web3auth https://github.com/CloudNativeEntrepreneur/sveltekit-web3auth-template If you're not ready for the web3 auth world yet, you can also use , which comes preconfigured to connect to your local dev cluster, and a Keycloak instance that's set up within it. Seeing as how both projects issue JWTs, the goal is for the auth system to be interchangeable - use web3auth or classic OIDC - upstream usage of the tokens are the same. https://github.com/CloudNativeEntrepreneur/sveltekit-oidc Now go and make some hybrid dApps with autogenerated GraphQL APIs and robust RBAC and permissions and subscriptions and authenticated SSR pages and silent refresh loops and rotating refresh tokens and stuff! Conclusion In conclusion, no, JWTs and login with Ethereum/metamask are not mutually exclusive. In fact, if you like developer productivity and integrating with existing tools, I think you’ll do quite well using JWTs AND web3auth. Cheers! I’m available for consulting! If you’re interested in my help on a project you’re working on, send me a message on Twitter!

HELP! There’s a JWT in my Metaverse!

¡AYUDA! ¡Hay un JWT en mi metaverso!

AIDER! Il y a un JWT dans mon Metaverse !

मदद! मेरे मेटावर्स में एक JWT है!

ヘルプ！メタバースに JWT があります。

AJUDA! Há um JWT no meu Metaverso!

CỨU GIÚP! Có một JWT trong Metaverse của tôi!

帮助！我的元宇宙中有一个 JWT！

As global pandemic continues to affect countries all over the world - The lockdowns and social distancing regulations have forced businesses to close office doors and move operations online. This shift has consequently led the companies, big and small - either to opt for pre-made web video conferencing solutions or to make an attempt to build a video conference web app from scratch. However, approaching the latter one could not be a better choice but still, I will explain every core concept in detail with their challenges throughout the journey for better clarity to make a decision. Well, I think to start over directly with the challenges, will not make sense. Thus, it’s better to have a look at the market’s current giant API providers to have an idea about ready-made APIs & SDKs. So let’s take a drive and explore! Table of Content The Best Video Conferencing API and SDK for Enterprise Businesses Challenges with Video Conferencing App Development - A Study Benefits of Video Conferencing API Integration Technology for Video Conferencing App, Behind The Screen Hosting and Development Possibilities for Video SDKs Integrating Video Conferencing Technology Within your Existing App How to Use a Video conferencing SDK The Best Online Web Video Conferencing Software to Support Multiple Use Cases Basic Collaboration Tools in Video Application SDKs How Video Conferencing will Change the Future of Business? 11. Conclusion Challenges of Building Video Conferencing Web Applications from Scratch Real-time communication is a must-have in any work environment; however, to make a video conferencing application without guidance and experience is to set oneself up for technical failure. Here are some challenges that developers and companies might face when attempting to create a video conferencing app: 1. Long delivery times It’s difficult to estimate just how long it takes to create, test and launch a video call solution, especially one that is tailored to your business needs. Often times, this spirals into longer delivery periods, which in turn might mean higher production costs and added expenditure on temporary apps. 2. Operational complexity Given the multiple levels of organisation and coding that go into making an enterprise video conference solution, the ensuing operational complexity has the potential to put important projects on hold. In high-stakes conditions, companies can’t afford to re-shuffle priorities or put their services on a back-burner; building, testing and launching an app from scratch might hurt regular operations. 3. Cross-service security Top-notch security is critical to the success of a video calling app, especially in the context of confidential meetings and information transfer. Alongside building the app, developers will also have to ensure encryption and security at user and database levels. Lapses in security could prove to be a costly affair to clean up for companies of any size. Looking at these potential hiccups along the road to from scratch, it’s safe to say that a lot of companies swerve the other way and choose a readymade video conferencing solution for small business. However, installing a third-party app has its fair share of challenges. building a video chat app Challenges of Using Third-Party Video Conferencing Apps Many video chat applications around the world have been hauled up for jeopardising the safety and privacy of users. Security challenges remain the top reason why businesses jettison even the best video conferencing services and attempt to build their own solutions. Some more recent security and performance challenges that have made waves in the media include: 1. Bombings This term was popularised in this context by ‘Zoombombers’, a play on ‘photobombers’, and refers to the phenomenon of unauthorised individuals joining supposedly ‘private’ video calls. The number of video call bombings have alarmingly been on an upward incline ever since COVID-19 lockdowns were put into effect earlier this year. While in some cases, users have seen strangers pop up in their video calls, other video calls were interrupted by streaming of inappropriate or offensive content. 2. Data leakages In a recent case of data breaches, a popular video conferencing app was questioned for apparently having leaked users’ personal information, including but not restricted to email addresses and photographs. Data theft and leaks are controversial and can sink a video call app no matter how much of a popular choice it is. 3. Privacy shortcomings End-to-end encryption is one of the most popular security demands today. Yet, some popular third-party video conferencing apps hadn’t fully upped their E2E, causing a lot of pitfalls in privacy and security. A recent situation was when a third-party app pooled users with the same email host (such as Gmail and Yahoo!) under the same organisational structure, allowing them to contact each other despite being strangers. Additionally, personal information was said to have been shared with social networking platforms to sell for ad targeting and other purposes– all without user knowledge. 4. Ensuring Quality of Service Top video conferencing software has to be accessible across all device configuration and network bandwidths. It must also be fast in transmission and easy to use. However, checking all of these boxes is tough for developers; tackling each of these issues as new updates means a long time will pass until the app is truly safe and user-friendly. The Problems With Building Your Dream Video Conferencing Technology Stack 1. Customising features is difficult It’s much harder than it looks to create customisable features when you . These features will need to take into account all teams and their requirements; it will also need to function seamlessly despite extra additions over time. build a video chat app 2. Running it on on-premise servers is a challenge Your servers or cloud service might not be equipped to support your new video calling app. Even if you have custom-built servers, it will take a lot of tweaking to ensure that it remains stable during uploads and use. If done incorrectly, businesses might risk crashing servers and loss of data. 3. Communicating with in-built security and privacy is tough As made evident by the rising cases of privacy breaches and security failures, it isn’t enough for an organisational video app to rely solely on in-built security and privacy. While this can be offset by using extra precautions on the users’ ends, it all spirals into a long-drawn procedure that can be otherwise avoided. 4. Costs can build up Unlike other apps, which provide SDKs and APIs through one-time costs, the cost of building and maintaining custom-built video calling apps can build up over time. The additional costs of extra features and upgrades might also tax budgets much harder than if companies were to pay a one-time cost. 5. Maintaining iOS and Android apps are challenging Building a video conferencing app for Android & iOS is a completely different ball game. Right from designing and coding to hosting, it is difficult for a company to manage all levels of development by themselves. Even if they decide to take on an external party for help, the consequential costs may attest to the futility of the activity. However, it’s not all doomsday predictions. There is a way by which companies can reap the benefits of the best video conferencing solution, that is custom-built, without actually having to develop it in-house. The secret is using an SDK or an API. Benefits of Video Conferencing Integration 1. Quick implementation Using a video chat API for Android & iOS cuts down the process of setting up an app to a bare minimum. This saves time and doesn’t require putting business services and goals on the back burner to make use of developers and designers. 2. Reduced costs It is less expensive to integrate a video chat app than to build one from scratch. Businesses can pay a one-time cost and don’t have to worry about future costs of maintenance or customisable features. 3. More security Using a video chat SDK for Android or iOS ensures safety and privacy is paramount. Since development and testing is all taken care of, this plug-and-play solution ensures users can get started without having to worry about extra safety precautions. 4. Added ML/ AI capabilities Good video chat APIs and SDKs come with added ML or AI capabilities, which power business operations without the burden of building them from scratch. This also reduces the cost of hiring experienced ML designers and developers. 5. Saving travel expenses Using a video chat API or SDK allows companies to cut down on travel expenses incurred due to client or investor meetings in the same city or internationally. Video calls significantly reduce expenditure on insurance and infrastructure, too. 6. Maintain business continuity Using a video chat API or SDK ensures that businesses carry on with daily operations without having to spare essential resources for building an in-house app. The Leading Video Conferencing Technology of Today WebSocket WebSocket refers to a protocol for computer communication which provides complete duplex communication channels over one unique TCP link. In 2011 the IETF standardized the WebSocket protocol as RFC 6455, and the W3C is standardizing the WebSocket API that is present in Web IDL. Although quite different from HTTP, WebSocket WebSocket is configured to operate across 80 and 443 HTTP ports, as well as support existing intermediaries and proxies. WebRTC WebRTC (Web Real-Time Communication) is a free and open-source program that delivers real-time communication through simple APIs to web browsers and mobile applications. 1. Signalling 2. STUN Server WebRTC apps often use the ICE framework to make up for the practical complexity of real-world networking. The STUN server is used to receive an external network address when the ICE fails to connect using a host address from a device’s operating system. 3. TURN Server In essence, a TURN server is a STUn server only with added capabilities. It is worth noting that TURN servers are much more expensive to run. Hosting and Development Possibilities for Video SDKs There are two major hosting possibilities, not unlike other apps: This allows your app to be accessed by multiple people without the need to store on in-house servers. Cloud hosting : This keeps the video SDKs exclusively in-house as opposed to on the cloud. In-house servers : When it comes to developing a video conferencing platform, companies may also choose: 1. Peer-to-peer approach In this approach, systems are interconnected through the internet and files can be shared without the need for a central server. 2. Media server approach In this approach, an application software keeps all digital media files while also making them available over a network on demand. 3. CPaaS approach Using a Communication-Platform-as-A-Service (CPaaS) provider allows for the addition of real-time features to a cloud platform without needing to build backend interfaces or infrastructure. Integrating Video Conferencing Technology Within Your Existing App 1. Video SDK account credentials Here, each client or user is registered through the SDK authentication page. It also allows the admin to assign roles and permissions. 2. Server application The video SDK will run on the application server used by your business. This uses passwords from your third-party account to offer access to video services. 3. Client application The customer app runs on a mobile or Web client. It uses third-party SDKs to post, collect, subscribe and execute information concerning RTC (Real-Time Communication). How to Use a Video conferencing SDK From creating a room to attending your first video conference, here are the steps to setting up your video SDK: 1. Creating a room The server asks the SDK to build a meeting room for a recording. The SDK validates the qualifications issued and generates a new space. The video SDK responds with the special identifier Room SID which can be used in subsequent API requests. 2. Access token for client 1 Server 1 demands an application server authorization key. This is typically done after a client application's HTTP request. The application server uses account credentials from the video SDK to create a protected access token. Client 1 then gets an entry token, without which they will not be able to access the meeting room. 3. Client 1 enters the meeting room Client 1 connects to the room using the Video SDK link interface and validates their access using the exclusive entry token. The video SDK verifies the connection token. When it is found to be accurate, a signalling relation between the room and the client is created. The same process is used to grant access to subsequent clients attempting to join the meeting room. The Best Video Conferencing API and SDK for Enterprise Businesses Where the market is filled with so many options, there are some gems that will stand out in the crowd and here, we are going to have a look at some of the top-rated video conferencing API and SDK providers who can add charm to your app development process with minimal cost and time consumption. - A Complete Video Conferencing Solution 1. MirrorFly.com MirrorFly provides feature-rich SDKs and APIs that incorporate highly flexible video chat features into existing apps, whatever they may be. It supports UI, add-ons, key functionalities, and hosting customizations. MirrorFly's SDKs allow you to evaluate, customize, and handle real-time video conferencing. Some Highlighted Features of MirrorFly Video Conferencing API & SDK 100% Customizable Solution Group Calling Real-time Messaging Live Broadcasting Screen Sharing Digital Whiteboard Audio & Video Call Recording Call Queueing SIP & VoIP Calling End to End Security Further contact details of MirrorFly USA & India Country : Contact  : bd@contus.i 300-500 Employees : 2008 Founded Date : Website : www.mirrorfly.com - Best Video Chat API & SDK 2. Enablex.io This Communication Platform as a Service (CPaaS) provider presents an omnichannel experience. The completely customizable features enable crystal-clear audio and video calls to create the best user experience possible Some Highlighted Features of Enable Video Conferencing Solution Group Video Chat Video Broadcasting V ideo Call Record Whitelabel Voice Broadcasting Further contact details of MirrorFly Singapore Country : Contact  : sales@vcloudx.com 11-50 Employees : 2017 Founded Date : Website : http://www.enablex.io 3. - A Leading Multi Video Chat API Provider Videosdk Video SDK is API built to help customize audio and video calling features easily. The primary technology it uses is webRTC and secures peer-to-peer connectivity. Embedding a video call to your application becomes easy with videosdk.live. add video calls on your website and application with just a few lines of code. Some Highlighted Features of Video SDK Group Video Calling Audio & Video Call Recording Screen Sharing HD RTMP streaming Cross-platform support Further contact details of Video SDK India & USA Country : Contact: support@videosdk.live 11-50 Employees: 2021 Founded Date: https://videosdk.live/ Website: - Leading Video Calling API Provider 4. Eyeson.com Use Eyeson to create a live streaming platform helps users to take advantage of new technology such as WebRTC.  Eyeson offers web-based or smartphone-based apps to stream live audio and video without additional plugins. Some Highlighted Features of Eyeson Video Chat API Group Video Call Live Broadcasting Screen Sharing Secure File Sharing Meeting Link Video & Voice Call Recording Further contact details of MirrorFly Australia Country : Contact  : office@eyeson.com 11-50 Employees : 2010 Founded Date : Website : https://www.eyeson.com - HD Video Calling API Provider 5. Twilio.com Twilio has a programmable video SDK that uses WebRTC and cloud setups to build and integrate real-time audio-video functionality. The ‘In the Cloud’ feature also allows developers to plug real-time phone calls into applications without a hitch. Once done with a glance on the details about these real-time API and SDK providers. Now, let’s have a look - how the concept of easy-to-integrate APIs and SDKs have impacted the future of business. Some Highlighted Features of Twilio Video Calling APi Group Video Calling Screen Sharing File Sharing Video Call Recording End to End Secure Further contact details of Twilio USA Country : Contact  : help@twilio.com 1000+ Employees : 2008 Founded Date : Website : https://www.twilio.com The Best Online Web Video Conferencing Software to Support Multiple Use Cases 1. Government Governments can use video SDKs to create highly secure conferring platforms. This significantly reduces the budget allocated for travel and allows leaders to be in touch constantly over important issues. 2. Digital Telehealth Studies suggest that 75 per cent of urgent care, doctors and hospital services can be easily done via video or telephone. Using video SDKs in a health setup saves time spent in travel and waiting in queues at clinics. Its also much more convenient for doctors to honour appointments and for patients to seek urgent relief. 3. Online Learning In the wake of COVID19 and lockdowns, many schools and academic institutions have taken to online learning until such time as the danger has passed. Using video SDKs makes learning more imitative of a real classroom and provides additional functionality such as live chats and presentations. 4. Video Integration with CRM Entire sales workflows can be streamlined and made more effective by adding real-time video features. It helps increase lead-to-conversion ratios as well as reduce travel costs in the client onboarding stage. 5. Recruitment Process Video calling functionality speeds up the recruitment process. It allows both recruiters and interviewee to spend lesser time in preparation. It also reduces the number of delayed interviews and increases the pace and success rate of the hiring process. Basic Collaboration Tools in Video Application SDKs The top video conferencing solutions for companies have the following essential collaboration tools: Screensharing Live chats Presence moderation Group discussions Access to VOD Conference management Speech enhancement Speed and device optimisation How Video Conferencing Will Change the Future of Business If the latest video conferencing technology trends are anything to go by, the future of business is set to be revolutionised by video conferencing. It simplifies a lot of processes that were once considered doable only face to face or with an individual’s physical presence. Today, a lot of these processes have been taken online, leaving top talents free to pursue higher-level achievements and goals. 1. Lower costs Video conferencing can potentially shave off a large chunk of money set aside for travel, physical conferences and client onboarding. The cost of infrastructure and other consequent purchases can also be offset. 2. Ease of HR processes HR can function through the cloud and connect with other members of the organisation via video conferencing. This process also makes recruitment and reviews a much easier, less time-consuming process. 3. Improved workplace structure The workplace need not be physical any longer; it is just as functional online as it is offline. Video conferencing allows for more team flexibility and freedom; it also stabilises work-life balance, which has positive effects on employee happiness and retention. Conclusion Integrating video conferencing technology into existing applications has many benefits vis a vis costs, structure and flexibility in the workforce. Video conferencing will feature prominently in the near future, so companies had best hop on board to reap the benefits.

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