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Anthos on Bare Metal: How to Manage a Private Cluster From the Cloud

Lessons learned There’s a lot of buzz around Google Anthos! I’ve lost count of the number of times I’ve been asked “What IS Anthos?!”. Well today I’m NOT going to answer that question! However, what I will do is (hopefully!) help some of you to spin up your very own Anthos bite-size cluster on some relatively inexpensive hardware thanks to the newest “flavor” of Anthos: Anthos on Bare Metal. From there you’ll be able to explore the features of Anthos for yourself, and embark on your own Anthos journey of discovery! Anthos on Bare Metal allows you to spin up a cluster from as few as 2 Intel NUCs. It’s a relatively straightforward process, but the process can be a little daunting if you haven’t been through it before. I encountered a few issues along the way, so what I’m walking you through today is my “path of least resistance”! So let’s start with the hardware. I got sent 3 Intel NUCs. Each of them has a Core I7 Gen 10 processor, 32GB of RAM, and 256 GB SSD. To be more specific, here's everything that I needed to get up and running: 3x Core : 6 cores / 32GB DDR4 Mem / 256GB SSD NUC10i7FNH i7-10710U 8-port GbE switch (optional if you have enough ports on your router / switch) 4xRJ45 CAT5E 16GB USB Stick to install Ubuntu You can install Anthos on Bare Metal on Ubuntu, CoreOS, or RHEL servers. (See more details ). here Out of the box the NUCs come with Ubuntu installed. However, the Kernel version led to issues with Ansible for me, so I started from scratch and created a bootable USB stick that would install “virgin” Ubuntu 20.04 onto each NUC. I will create my cluster out of just 2 of the NUCs (which is really the minimum we’d recommend). The third I will use as my “workstation” in order to bootstrap the cluster using the command-line tool. All is not lost, however, we can add that third NUC to the cluster later, once it’s up and running! bmctl Happy-path install process Connect one of the NUCs to a monitor and keyboard. Boot it up. In the case of the NUCs I received, Ubuntu was already installed. We’ll use this machine as a workstation for now. Open a terminal & (you'll need the password for the default user) sudo su mkdir usb-boot && cd usb-boot Copy over shell script from (Thanks to my colleague Cody Hill for this!) https://github.com/c0dyhi11/ubuntu-20-04-autoinstall/blob/main/build_iso.sh chmod +x build_iso.sh Insert a USB stick into the NUC and note the device that represents the USB stick (i.e. ) fdisk -l /dev/sda (whatever is returned from above) ./build_iso.sh -F /dev/sda Ubuntu ISO will be downloaded and written to the USB stick. N.B. command will finish but writing may continue. Wait 5 mins. Powerdown your NUC. Connect your second NUC to monitor and keyboard. Insert the USB stick created in step 8. Power on. Press until the boot menu shows. Select the USB stick to boot from. If there are multiple partitions, select the first. F11 Ubuntu install will proceed. Select language, keyboard layout, network configuration (strongly recommended to switch to “manual” network config and assign a static IP). I selected not to download updates. For storage config you can just accept defaults. Do not install any other options / software / tools when prompted. You will be prompted to create a username and password. Use whatever you would like, just make a note of it. My suggestion would be to name the machine nuc-1 (and then nuc-2, and so on). At this stage you can elect to copy over an SSH key from Git if you’d like, or you can perform this step later (described in ). step 19 Wait for install / updates to fully complete (“Reboot” will show as option at bottom when it’s done). Reboot. Remove USB stick when prompted. NUC will reboot into Ubuntu. Disconnect monitor and keyboard from NUC. Repeat steps 11-14 for remaining NUC(s). Reconnect workstation NUC and boot up. Open a terminal & generate an SSH key: ssh-keygen -t rsa and copy to clipboard cat $home/.ssh/id_rsa.pub SSH into each NUC in turn (using username and password set in ) Paste in public SSH key and save Perform further steps listed here: step 12 ssh snuc@192.168.1.201 sudo su vi /root/.ssh/authorized_key Configuring Ubuntu | Anthos on bare metal From the workstation NUC validate you can SSH to each NUCvia (N.B use the path to the private SSH key you previously generated, and the IP address of each of your node NUCs). You should be able to connect to the NUC as root without being prompted for a password. ssh -o IdentitiesOnly=yes -i /home/ubuntu/.ssh/id_rsa root@ 192.168.1.231 From the workstation NUC proceed to follow instructions here: . You’ll install and init gcloud and kubectl. Next you’ll install the bmctl CLI tool. https://cloud.google.com/anthos/gke/docs/bare-metal/1.6/quickstart#install-gcloud Proceed to follow instructions here: . We’ll create a hybrid cluster - a single cluster for both admin and workloads, that can also manage user clusters.(other options are standalone, admin, & user clusters). In the hybrid cluster deployment option, one of your NUCs will be the control plane node, the other will be the worker node. You can read more about the other deployment options on . https://cloud.google.com/anthos/gke/docs/bare-metal/1.6/quickstart#create-cluster-nodes Creating clusters: overview Find a “block” of # of NUC contiguous IP addresses on your network. 3 or 4 IP addresses will be enough for the purposes of a POC. Whenever you create a K8s service of type “LoadBalancer”, one of these IP addresses will be consumed. I used 192.168.1.236-192.168.1.240. The “start” IP address (i.e. 192.168.1.236) you will specify as your ingressVIP in the YAML file. You should also find another free IP address for your controlPlaneVIP. It should NOT be in the start-end range discussed above. I used 192.168.1.196. Specify one of your NUC IP addresses as the IP address for the control plane node pool, and the other(s) right at the bottom of the YAML as the worker node pool. Run to perform preflight checks, and then to install Anthos. If you followed the instructions in step 22 then all APIs and service account keys would have been generated for you. ./bmctl create cluster -c [name of your cluster] Once it completes successfully you’ll be given the path to the kubeconfig to connect to your new cluster. [Optional] If you wish you can re-image your “workstation NUC” using the USB key, and add it as a worker node to your cluster kubectl -n my-cluster edit nodepool np1. Remember to copy your “baremetal” folder (and subfolders) off to somewhere else first (because you’ll need the kubeconfig file!). Running Your First Workload So now let’s deploy a simple “Hello world!” Kubernetes deployment and service. Let’s begin by setting our environment variable. puts the under . So, for instance, I called my cluster bm-cluster: KUBECONFIG bmctl KUBECONFIG bmctl-workspace/[your-cluster-name]/ export KUBECONFIG=$HOME/baremetal/bmctl-workspace/bm-cluster/bm-cluster-kubeconfig First let’s create a deployment YAML: apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-deployment
spec:
  selector:
    matchLabels:
      app: metrics
      department: sales
  replicas: template:
    metadata:
      labels:
        app: metrics
        department: sales
    spec:
      containers:
      - name: hello
        image: 3 "gcr.io/google-samples/hello-app:2.0" Save the file (as my-deployment.yaml), and now apply it to our Anthos BM cluster: kubectl apply -f my-deployment.yaml Let’s check the deployment: kubectl get deploy You should see something like this: NAME            READY   UP-TO-DATE   AVAILABLE   AGE my-deployment   3/3     3            3           30s Now let’s create a service of type LoadBalancer. Save the following YAML as my-service.yaml: apiVersion: v1
kind: Service
metadata:
  name: my-service
spec:
  selector:
    app: metrics
    department: sales
  type: LoadBalancer
  ports:
  - port: targetPort: 80 8080 Now let’s apply it: kubectl apply -f my-service.yaml Now let’s validate it got created: kubectl get svc my-service You should see something like this: Notice how my-service's IP address (external-IP) got automatically drawn from the “range” we specified earlier. Now we can curl our service, and check that everything is working as it should: For me, I , and I see: curl 192.168.1.237 Hello, world! Version: 2.0.0 Hostname: my-deployment-68bdbbb5cc-mpftc Your Anthos on BM cluster is fully operational. It will also show up in the Google Cloud console. Congratulations! If you want to log in to your cluster (to view node and workload information from the console) you can now follow the instructions on . Logging in to a cluster from Cloud Console

How to Install Anthos Bare Metal on Intel NUCs: A Beginner's Guide

The idea that you can build an app in one place and then deploy it across multiple clouds is an enticing one. That’s why multi-cloud solutions are on the rise today. They promise to help developers in expanding their cloud portfolios and battle for the industry’s attention. While Google Anthos uses a more complicated approach and you need to create a cluster for each cloud, CAST AI offers a more advanced way to solve this multi-cloud riddle - one cluster spread across multiple clouds. Google Anthos vs. CAST AI - feature comparison Google Anthos: one cluster on a single cloud, one tool for 3 clouds Anthos is Google’s new managed service offering for multi-cloud environments launched in 2019. Apart from access to multiple clouds, it offers hybrid cloud infrastructures or even a combination of on-premises and cloud-based functionalities. Anthos is a meta-service that groups Kubernetes clusters by configuration and policy. Every cluster is independent - it has its own control plane, points of ingress, deployments, and configurations. This means that developers must continuously synchronize the clusters. However, Anthos comes with cloud environments that are configured and may behave in a drastically different manner. While using Google, it offers a mostly streamlined experience. But try it on AWS or on-premises setup, and you’ll see that management is hard to automate. It requires ample knowledge of the destination cloud. CAST AI: one cluster on many clouds, unified multi-cloud for 3 clouds When you create a multi-cloud cluster with CAST AI, you get a single logical Kubernetes cluster connected across multiple cloud services. The solution creates a virtual multi-cloud private network using your VPN of choice or direct fiber connectivity between clouds. CAST AI abstracts away the differences between compute, network, ingress and load balancing, and storage. As a result, you get an open and non-proprietary Kubernetes implementation for immediate production purposes. What about cost optimization? CAST AI has a heavy focus on optimization and cost of operation. Similar to GKE, CAST provides a set of out-of-the-box auto-scalers. Scaling a CAST AI cluster is controlled through customer defined policies. The CAST AI cost optimization engine focuses on ensuring that the best possible compute instances are used for currently deployed workloads. This includes the use of spot and preemptive instances when they are available to lower overall costs. CAST AI’s multi-cloud solution does not require a special configuration management / synchronization service because of the One Cluster approach. Configurations are synchronized across clouds utilizing the underlying etcd data store that naturally supports multiple distributed master nodes. One cluster spread across multiple clouds is a more evolved approach to multi-cloud. Dealing with a single multi-cloud cluster is easier than having to constantly synchronize your clusters and only taking advantage of common configuration or policies. Explore your options and try out CAST AI Multi-cloud doesn’t have to be hard. here . We’re offering free cloud credentials to help you build your first multi-cloud clusters and play around with our infrastructure for a limited time. Just join our community on Slack. Written by Leon Kuperman Co-founder and CTO, CAST AI Formerly Vice President of Security Products OCI at Oracle, Leon’s professional experience spans across tech companies such as IBM, Truition, and HostedPCI. He founded and served as the CTO of Zenedge, an enterprise security company protecting large enterprises with a cloud WAF. Leon has 20+ years of experience in product management, software design, and development, all the way through to production deployment. He is an authority on cloud computing, web application security and Payment Card Industry Data Security Standard (PCI DSS), e-commerce, and web application architecture. Previously published at https://resources.cast.ai/blog/google-anthos-vs-cast-ai-comparison

Google Anthos Vs. Cast.AI: A Review

Recently, Google launched Anthos platform in its Cloud Next Conference and since then it has been the talk of the town! With Anthos, users can now run applications on-premise in Microsoft Azure, AWS (Amazon Web Services) and with other providers, and not just Google Cloud. It happens to be the tech giant’s official entry into the enterprise data centres. Google’s CEO Sundar Pichai says that the platform is designed with the “write once and run anywhere” notion. Let’s see what all Anthos can really do for hybrid and multi-cloud applications: What is Anthos? Anthos is a ground-breaking enterprise-grade hybrid and multi-cloud platform developed by Google. It is not a sole product, rather like an umbrella platform encompassing various micro-services and containers. These services are all about multi-cloud and hybrid cloud management, cloud migration, and so on. Anthos is an open-source platform built upon GKE that is responsible for containers service of Google Cloud. The biggest advantage of the Anthos platform is that the user won’t be limited to a specific cloud vendor. But by far, its documentation in the public cloud seems to be inadequate. How does Anthos work? Anthos allows the user to build, deploy and manage their applications with different cloud providers, all in a secure environment. It lets you modernize existing applications running on third-party clouds, whilst building and deploying cloud-native apps on containers in a multi-cloud and hybrid cloud domain. The Anthos platform provides a consistent and secure experience for the development and management of all your deployed apps. This in return also enhances developer productivity and reduces operational overhead costs. That’s because your developers or admins don’t need to study functionalities and APIs related to the new cloud, but rather just Google’s. Building Blocks of Anthos Anthos is built upon Google Kubernetes Engine (GKE) which acts as its core command and control center. GKE along with other significant components is what really makes Anthos more powerful and efficient in performance. Google Kubernetes Engine GKE lies at the core of the Anthos platform. With the GKE control panel, users can manage their entire deployed infrastructure in Google Cloud or other cloud platforms. From switching between cloud and on-premise to monitoring applications, deploying patches, and so on, GKE takes care of it all. It operates on Container-Optimized OS designed exclusively for Kubernetes. Plus, the inbuilt dashboard is where you get to manage the resources. Apart from GKE, other vital components of Anthos are as follows: GKE On-Premise The tech behemoth Google is offering a software platform based upon GKE. With GKE On-premise service, users can run this platform on any compatible hardware, while its management will be under Google’s hold. Google will handle K8s security patches and the latest version updates. Cloud Console allows you to manage your on-premise deployments and its related clusters. Know that GKE On-Premise runs as a virtual appliance on VMware vSphere 6.5 and the support for other hypervisors such as Hyper-V and KVM are still in progress. Istio Google’s Service Mesh viz. service enables fully managed service meshes to secure service communications, handle mesh telemetry, network management and other such micro-services architectures across the platform. Basically, it acts as an that brings together different components spread throughout third-party clouds, data centers and GCP. Istio Ansible Velostrata Velostrata is a P2K (material to Kubernetes) cloud migration tool developed by Google. It was built to enhance Kubernetes by converting existing VMs into Kubernetes applications as well as streaming on-premise clouds and physical machines to create clones in GCE instances. Anthos Migrate has inherited the same capabilities as in Velostrata, but it is still in beta. Anthos Config Management Users dealing with several Kubernetes deployments operating in cross-section environments will find Anthos Config Management extremely convenient. With this service, the user can apply configuration and handle various deployment clusters at the same time. Also, it allows for rapid app development across hybrid container platforms. All in all, it is a secure, well-equipped central cache for better administration and configuration. Stackdriver This service is solely dedicated to the monitoring of Anthos infrastructure as well as its applications. It acts as a core logging, tracking and monitoring system where users can keep track of different clusters throughout the Anthos. Not just that, you can also get to know the status of individual apps within each group. GCP Cloud Interconnect Cloud Interconnect is capable of clocking speed in the 100 Gbps range, which is why it can be utilized for high-speed communication between cloud frameworks and enterprise data centers. Not only that, but customers can also choose to utilize Telco networks to connect data centers to GCP. GCP (Google Cloud Platform) Marketplace GCP Marketplace enables users to deploy applications from a marketplace of open-source applications and ISVs that are Kubernetes compatible. These containerized applications are ready-to-use for quick development and deployments. Here you will find lifecycle management tools, databases and various products that can run On-premise, in clouds, on Anthos and even on other platforms involving Kubernetes clusters. Such containerized applications improve user productivity, as they can focus more on development instead of initial setups. All of these applications include solid support and maintenance services and are highly secure. GKE Hub GKE Hub is a networking component of Google Anthos. It features GCP Console through which you can integrate GKE On-premise clusters with Google Cloud Services Platform. Users can check their work-related data and Kubernetes cluster data through GKE dashboards. Google Anthos: Enterprise Ready Kubernetes seems to be a hi-tech complex platform, supposed to be managed by tech-whiz developers and admins. But Google took a step forward to discard this notion with the launch of Anthos- a platform that is enterprise-grade, secure and reliable for multi-cloud and hybrid cloud management. Make Modern Hybrid and Multi-Cloud Applications a Reality with Anthos When enterprises consider cloud migration for their workloads and applications, the first choices they turn to are Microsoft Azure and AWS. But Google Anthos is here to change the way enterprises approach the cloud migration process. This open-source cloud computing platform works across multi-cloud environments, so it is a key tool for enterprises opting for hybrid cloud deployments and application migration. Anthos is a fully-managed hybrid cloud platform that can handle application deployments across public clouds and even on-premise with consistent policies. Enterprises can modernize their existing applications, build and deploy new apps and securely run them on any platform of their choice. Due to this, developers and admins don’t need to learn different APIs and environments other than Google’s. With Anthos Migrate, organizations can also automatically migrate their VM (virtual machine) apps to GKE (Google Kubernetes Engine). These apps can be run and efficiently managed through GKE with the help of Istio service mesh component.

Making Hybrid and Multi-cloud Applications a Reality with Anthos

Google recently announced Anthos, their multi-cloud and on-prem platform offering. Anthos had its beginning on Google Cloud Platform (GCP) with as a managed Kubernetes service (Google Kubernetes Engine / GKE). As Google began expanding on their hybrid cloud strategy, GKE made its way on-prem and was rolled into Google’s Cloud Services Platform offering for hybrid cloud which eventually expanded and rebranded to Anthos. Anthos is Google’s attempt at reaching customers that have a need to be fully on-prem or haven’t taken the migration/modernization plunge out of concern of being locked into any single cloud provider. As part of the launch, Google also announced Anthos Migrate, a tool aimed at helping companies modernize their workloads in addition to migrating them. Cloud adoption is usually seen in two phases — migration followed by modernization. Cloud providers have been investing in tooling to assist customers with migration for a while now. As an example, a customer committed to migrating their business to the cloud could make use of such a migration tool (i.e. AWS SMS) to take a VM running on-prem and migrate it to run on a cloud provider (i.e. EC2). However, running on the cloud might not always be better. In the same VM migration example, let’s assume the VM was heavily over-provisioned while on-prem. Since the customer owns the host running the VM, while the host will be underutilized, the compute cost of running the VM will be fixed. When migrating the VM to a cloud provider, an administrator will likely migrate the VM to a cloud instance with similarly over-provisioned specifications. However, because the workload is over-provisioned, the customer will end up with an expensive monthly recurring bill for an underutilized instance. As such, a common activity is to rightsize and optimize workloads to be cloud-native (e.g. leverage resources efficiently for VMs in the cloud). Without this, a common problem with lift and shift migrations is the resulting low “density” deployments/utilization of computing. Part of the above problem results from VMs being very bloated runtimes for applications — in addition to the running the application, VMs also run a guest OS. Containers, on the other hand, are concise runtimes for the workloads at hand. In conjunction with a container orchestrator, containers can be optimally packed to maximize utilization of the underlying compute, resulting in “dense” deployments. Enter Anthos Migrate. Anthos Migrate assists customers in containerizing the application-only portions of their VMs. At a high level, Anthos Migrate achieves this by analyzing a VM’s disk and separating OS/system files from application and user files and containerizing the latter. In doing so, Anthos Migrate will ideally allow customers to containerize compatible workloads and realize denser deployments. It is worth noting that while Anthos Migrate will allow customers to realize denser deployments, not all VM workloads are ideal for modernization. For example, if the VM has kernel level modifications Anthos Migrate won’t work. Another aspect to note is that a complex monolith that is migrated to a container will still be a complex monolith. While a containerized complex monolith might be more cost effective for the customer, it might not realize the benefits of an application stack built from the ground up to be cloud-native (i.e. horizontally scalable, highly available, etc). Anthos Migrate will allow customers to get their foot in the door on their path to modernization and allow them to realize better compute costs for compatible workloads. However, as it is now, it is not a panacea for complete modernization as customers will still have to invest time and energy to properly modernize their workloads to be fully cloud-native. The thoughts and opinions expressed above my own and don’t necessarily represent Amazon’s position.

Anthos and what it means for app modernization

When we first came up with our “big idea” back in 2017, my partner Mike Wagner and I didn’t know how much impact it would have. The idea was simple enough: We wanted to develop a virtual appliance that could discover, provision, and maintain servers from any manufacturer. By 2020, that vision became a reality with the launch of our flagship platform, which we built entirely on open-source technologies. That strategy was working well from the start. Well enough, I should say. We knew we could improve our metal-as-a-service software appliance if we could just find a way to boost performance, ensure higher system uptime, and streamline the architecture. The only way to do that, we realized, was to replace the Linux operating system and KVM virtual machine solution with something that would give us those benefits. What we did know was that we wanted to continue with our strategy of utilizing open source—and ideally tied to a very permissive license and open governance model. That would give us more flexibility as our roadmap unfolded and enable extensive use and modification without stringent (or murky) conditions. Taking the plunge After our due diligence, we transitioned to the Unix-like open source FreeBSD operating system, along with the BSD hypervisor Bhyve. We liked that the FreeBSD project had off-the-shelf capabilities within a single distribution, and had plenty of mission-critical enterprise use cases (Netflix and Sony being two of the most well-known). Together with existing technologies like the Redfish standard, the new and improved platform we’d built (called Mojo) was ready to really take off. With FreeBSD and bhyve fully in place, we were now able to add edge data center provisioning to the platform, which helps discover, configure, and provision bare metal servers and storage within a data center and at the edge. It works really well with another new technology (PhotoISP, which I’ll discuss in a moment) to manage geographically distributed bare metal assets. These open-source changes to our infrastructure proved to be the silver bullet we were looking for. More organizations began to contact us, and we started landing some really interesting use cases, including Major League Baseball. Before the 2021 season, MLB was looking for a way to move from VMware to a containerized environment across 30 data centers. In a nutshell, they needed a way to quickly process 15 different input sources to track all the player and team statistics generated during a game. By more quickly provisioning servers, that data could be quickly gathered at the edge and uploaded into Google Cloud. The Mojo platform, backed by an evolved open-source strategy, helped streamline MLB’s deployment pipelines (cutting deployment time in half). It also simplified the provisioning and management of MLB’s bare metal edge sites and made it really easy to provision Anthos, BIOS, firmware, OS patches, and upgrades. They also saw big performance gains for their GPU-enabled apps and more optimized CI/CD pipelines. Expanding a vision backed by open source Albert Einstein once said that necessity is the mother of all invention. My family lives in the Blue Ridge Mountains, and when COVID hit, word spread quickly that several teachers and students were unable to stream their classes because they had insufficient rural broadband access. Mike and I brainstormed about how we could help, and we immediately recognized how Mojo, paired with a reliable and secure CPE, could solve the problem. That led development of the Photon ISP platform, which delivers routing, firewall, and QoS through the open-source FreeBSD operating system. It also monitors IDS/IPS for wireless and fixed fiber networks and ensures uninterrupted 4G/5G and Starlink failover as a hedge to wireless ISP services. Today, the Photon ISP platform has 50 rural customers, and that number continues to grow. And its uptime is unparalleled; we have FreeBSD CPEs that have been running for more than a year without issue. Speeds have been very consistent, streaming content has been reliable, and there has been almost zero latency. We’re still pushing the limits of what we can do with our optimized open-source infrastructure. Next, we plan to finish moving the remainder of the stack to FreeBSD once a viable OCI-compliant stack becomes available. In the meantime, we still use Linux within Bhyve virtual machines for a few of our services. Simply put, the strategic shift to open-source FreeBSD and Bhyve for our platforms has catalyzed innovation and customer growth. The success with MLB—cutting deployment times and improving performance—is a great example of how the right open-source pieces can have an outsized impact while being far more flexible (not to mention cost-efficient!) than proprietary alternatives. When we first came up with our “big idea” back in 2017, my partner Mike Wagner and I didn’t know how much impact it would have. The idea was simple enough: We wanted to develop a virtual appliance that could discover, provision, and maintain servers from any manufacturer. By 2020, that vision became a reality with the launch of our flagship platform, which we built entirely on open-source technologies. That strategy was working well from the start. Well enough , I should say. enough We knew we could improve our metal-as-a-service software appliance if we could just find a way to boost performance, ensure higher system uptime, and streamline the architecture. The only way to do that, we realized, was to replace the Linux operating system and KVM virtual machine solution with something that would give us those benefits. What we did know was that we wanted to continue with our strategy of utilizing open source—and ideally tied to a very permissive license and open governance model. That would give us more flexibility as our roadmap unfolded and enable extensive use and modification without stringent (or murky) conditions. Taking the plunge After our due diligence, we transitioned to the Unix-like open source FreeBSD operating system, along with the BSD hypervisor Bhyve . We liked that the FreeBSD project had off-the-shelf capabilities within a single distribution, and had plenty of mission-critical enterprise use cases (Netflix and Sony being two of the most well-known). Together with existing technologies like the Redfish standard, the new and improved platform we’d built (called Mojo) was ready to really take off. open source FreeBSD Bhyve Redfish With FreeBSD and bhyve fully in place, we were now able to add edge data center provisioning to the platform, which helps discover, configure, and provision bare metal servers and storage within a data center and at the edge. It works really well with another new technology (PhotoISP, which I’ll discuss in a moment) to manage geographically distributed bare metal assets. These open-source changes to our infrastructure proved to be the silver bullet we were looking for. More organizations began to contact us, and we started landing some really interesting use cases, including Major League Baseball. Before the 2021 season, MLB was looking for a way to move from VMware to a containerized environment across 30 data centers. In a nutshell, they needed a way to quickly process 15 different input sources to track all the player and team statistics generated during a game. By more quickly provisioning servers, that data could be quickly gathered at the edge and uploaded into Google Cloud. The Mojo platform, backed by an evolved open-source strategy, helped streamline MLB’s deployment pipelines (cutting deployment time in half). It also simplified the provisioning and management of MLB’s bare metal edge sites and made it really easy to provision Anthos, BIOS, firmware, OS patches, and upgrades. They also saw big performance gains for their GPU-enabled apps and more optimized CI/CD pipelines. Expanding a vision backed by open source Albert Einstein once said that necessity is the mother of all invention. My family lives in the Blue Ridge Mountains, and when COVID hit, word spread quickly that several teachers and students were unable to stream their classes because they had insufficient rural broadband access. Mike and I brainstormed about how we could help, and we immediately recognized how Mojo, paired with a reliable and secure CPE, could solve the problem. That led development of the Photon ISP platform, which delivers routing, firewall, and QoS through the open-source FreeBSD operating system. It also monitors IDS/IPS for wireless and fixed fiber networks and ensures uninterrupted 4G/5G and Starlink failover as a hedge to wireless ISP services. Today, the Photon ISP platform has 50 rural customers, and that number continues to grow. And its uptime is unparalleled; we have FreeBSD CPEs that have been running for more than a year without issue. Speeds have been very consistent, streaming content has been reliable, and there has been almost zero latency. We’re still pushing the limits of what we can do with our optimized open-source infrastructure. Next, we plan to finish moving the remainder of the stack to FreeBSD once a viable OCI-compliant stack becomes available. In the meantime, we still use Linux within Bhyve virtual machines for a few of our services. Simply put, the strategic shift to open-source FreeBSD and Bhyve for our platforms has catalyzed innovation and customer growth. The success with MLB—cutting deployment times and improving performance—is a great example of how the right open-source pieces can have an outsized impact while being far more flexible (not to mention cost-efficient!) than proprietary alternatives.

How Our Open Source OS Pivot Accelerated Product Innovation

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Let's learn about via these 68 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Google Cloud Platform /Learn Repo 1. How to Pass the Certified Kubernetes Administrator Exam in 7 Days A couple of weeks ago I passed the Certified Kubernetes Administrator (CKA) exam with 7 days of prep. Here’s how I did it. 2. I Will Never Host My Apps on a Server Again TL;DR As a solo entrepreneur I cannot manage a server myself. PaaS comes in as a life saver. Since I started hosting my apps on Google App Engine I saved time and money, but the best part is: my app is secure and scalable without having to lift a finger. 3. Should You Even Use A Regular Web Hosting Anymore? Nowadays, almost all the websites that are out there are using just regular web hosting. That seems pretty normal, but in days where cloud hosting companies like Amazon Web Services and Google Cloud are getting very popular, the question that comes in mind is Should we even use regular web hosting anymore or we should turn to the cloud. Just think about it, they’re often much cheaper and have support technologies that regular web hostings don’t. 4. Important Differences Between Cloud-Based, Cloud-Enabled, And Cloud-Native Apps Learn the difference between Cloud-Based, Cloud-Enabled, and Cloud-Native Applications. 5. 13 Questions and Answers for Google Cloud Reference Architectures Google Cloud is a cloud computing platform that can be used to build and deploy applications.  It allows you to take advantage of the flexibility of development while scaling the infrastructure as needed. 6. Hundreds of Google and Amazon Employees Oppose the Israeli "Nimbus" Cloud Project Hundreds of Google and Amazon employees anonymously sign a letter opposing the tech giants’ deal with Israel. 7. 5 Best Google Cloud Professional Data Engineer Certification Exam Courses in 2022 In this article, I will share the best online courses to help you pass the Google Cloud Professional Data Engineer certification exam. 8. 25 Products Google Sent To Their Graveyard: A Brief History Google is generally at innovation’s forefront, and a large number of its items and administrations have become industry pioneers. Be that as it may, not all things google conjures up goes to gold. The tech goliath has created a couple of clunkers, yet Google doesn’t stop for a second to cut its misfortunes. Here’s a voyage through the Google Graveyard, with a glance at certain items and administrations Google has executed off as the years progressed. 9. AWS/Azure/Google Certifications are More Important than Linux Certs Skip the Linux certs and go with AWS/Azure/Google certification instead. These days, pretty much every cloud provider has their own version of Linux. 10. Mount file to Kubernetes Pod Without Deleting the Existing File What I learned about Kubernetes when trying to mount config maps into a docker container that already have an existing file in the same directory. 11. Today I Learned: Pull Docker Image from GCR (Google Container Registry) in any non-GCP Kubernetes… How to a pull Docker Image from GCR in any non-GCP Kubernetes cluster 12. Google Anthos Vs. Cast.AI: A Review The idea that you can build an app in one place and then deploy it across multiple clouds is an enticing one. 13. Start a Tech Startup for Free with Google Cloud Platform Learn how to piece together Google Cloud Platform (GCP) services ($300 credit on signup) and other services to start your tech startup with this no-fuss guide. 14. How I Built a Warehouse Management App Called Cardus A web app that allows users to create and manage their warehouse of items. 15. Trying to Sign Up for a GCP Account: My Experience Gareth Dwyer explains what it was like to try to sign up for a GCP account. 16. From a Googler’s Scratchpad: How to Prepare for a Google Job Interview Cracking interviews at Google, Amazon, Microsoft, Meta - starts from Self Reflection. A structured & iterative approach to do this exercise is beneficial! 17. How to Setup WordPress Website on Google Cloud For Free Using Google Cloud Platform and Cloudflare is a budget solution to securely and optimally host a small and fully featured WordPress website. 18. 6 Cloud Migration Benefits for Businesses Cloud migration benefits the application by opening a new horizon for high-level architecture applications that capture and process data in real-time. A smooth cloud migration experience and hassle-free post-migration efficiency are assured by properly implemented cloud migration strategies. 19. 2023 Will Be the Year of Kubernetes (and Other Predictions in the Cloud and Infrastructure Industry) Dive into the new year’s top cloud and infra-tech trends, straight from a cloud and infrastructure technology fanatic. 20. CAST AI Extends Support to AWS, Azure, and GCP After Raising $10M CAST AI platform that optimizes cloud spend now supports all three major cloud service providers: Amazon Web Services, Google Cloud Platform, and Azure. 21. Hack Your Way to LookML Mastery By Following These Tips Tips to help BI developers create a seamless pipeline in Google's visualization tool Looker. 22. Pillar of Heaven : Linux and the Cloud Computing ‘Re-evolution’ Importance of Linux in the Cloud Computing revolution 23. Cloud Migration: Automated Discovery Tools And Their Benefits With the advent of new tools, automation and orchestration are having an immense impact on easing the burden of moving to the cloud. 24. Why You Should Think About Switching To The Cloud Hosting today Cloud computing has become essential for most homes and businesses, and it has been critical in reducing social upheaval and economic devastation. 25. 5 Ways DevOps can make IT Infrastructure more Scalable DevOps, did you even hear about it in the first place? Or is it familiar? Before we go to learning the 5 Ways DevOps can make IT Infrastructure more Scalable, we must explore each term and practices around it first. 26. 5 Ways to Protect Your Cloud Storage The days of thumb drives are slowly passing us by because cloud-based storage solutions are here to stay. Services like Google Drive and Dropbox store your data on the web and let you access them at any place and time. As long as you have access to the internet that is. But in this day and age, who doesn’t right? 27. Weekly Web3 Roundup Despite the bear market, brands, IP holders, and artists are building the future of the internet. Read our weekly update to stay up-to-date on everything web3. 28. How To Successfully Migrate Data From DynamoDB To Bigtable And Spanner Being informed and relevant aren’t enough to catch a moving target that’s disappearing every 24 hours. 29. How to Use the Google Sheets API with Python Tutorial describing the steps to configure a Google Cloud Platform project to allow programmatic integration with the Google Sheets API via Python. 30. The Top 5 DevOps Tools and Services to Consider as a Startup A collection of DevOps tools can significantly enhance your Software Development Life Cycle (SDLC) and increase engineering productivity. 31. How to Deploy & Monitor Honeypots on GCP with Kibana [Tutorial] One of my favourite areas of cybersecurity is SIEM (Security Incident Event Management). In 2017 I wrote a post on how I got a role in cyber security, one of my recommendations was using the Elastic Stack as a SIEM as a start-off point for those looking to understand log analysis and how to investigate incidents. But one of the main gripes people had was, where can they get data to work on in their home environments. This post will focus on setting up a honeypot that already utilises the ELK Stack… 32. Top 5 Cloud Migration Strategies You Need to Know A cloud migration strategy is a plan a company can adopt to move some or all data and systems into the cloud. 33. How To Reduce Risks And Prepare For The Unknown To be Always On in uncertain times, mundane must be your new black. 34. Managing Encryption at Scale with Envelope Encryption Envelope encryption is a good way of maintaining your cybersecurity at scale, without tying up a significant portion of your resources on less efficient methods 35. Cloud Architects Need More than Certifications Are you AWS certified, Azure certified, or Google certified and struggling to get your first cloud architect or solution architect job? If so, I have some information that can help you. 36. AWS, Azure and GCP Pricing: The True Cost of DevOps To make the choice between 3 market giants (Azure, AWS, and Google Cloud) clearer, we've conducted research on the pricing plans for DevOps services. 37. So Safe You'll Cloud 9 Cloud migration means to move business data, applications, or other critical business services from on-premise data centers or onsite computers to the cl 38. Using DAL For Migration From DynamoDB to Spanner and Bigtable Game changers emerge when you are deep in the trenches laying the foundation. 39. How to Reduce the Chances of an Outage An outage (also known as downtime) is a period of time when a given service or system is unavailable, failing to provide and perform its primary functionality. 40. A Guide to Authoring Power BI Reports on Real-Time Google Sheets Data CData Power BI Connectors provide self-service integration with Microsoft Power BI. The CData Power BI Connector for Google Sheets links your Power BI reports to real-time Google Sheets data. You can monitor Google Sheets data through dashboards and ensure that your analysis reflects Google Sheets data in real-time by scheduling refreshes or refreshing on demand. This article details how to use the Power BI Connector to create real-time visualizations of Google Sheets data in Microsoft Power BI Desktop. 41. Top 5 Reasons Why Companies are Moving to the Cloud Cloud has introduced some new business capabilities through cost-effectiveness or accessibility, as a company you don't want to miss the opportunity. 42. How to Select the Best Container Registry If you are developing any type of containerized application, there will be some concerns for you as a developer or an ops engineer. One such major concern is where to store the container images so that they can be easily and securely accessible at the deployment. This is where container registries come into play by offering a place to store these images. Therefore, selecting the best possible container registry for your specific use case is vital in any containerized application development. Yet, how can we ensure that we select the best possible registry? Let's try to answer that question in this post. 43. Hey Google, Where's the Search? Just some of the things that could be easily fixed to make the Google Cloud Platform and Workspace easier to use. 44. Collecting and Shipping Windows Events Logs with OpenTelemetry If you use Windows, you want to monitor Windows Events. I'll show you how to easily monitor Windows Events with OpenTelemetry. 45. Cloud Solutions Propelled Into The Spotlight Courtesy Of Covid-19 In the wake of the COVID-19 pandemic, cloud service solutions have been thrown into the limelight as companies and organisations across the globe grapple with the rapid shift to remote working and learning. With the widespread closure of non-essential organisations and businesses forcing organisations’ leaders to consider new and innovative approaches to shifting their businesses online, the move to cloud computing has become a far greater priority than ever before. The industry statistics demonstrate this: according to new figures from analyst firm Gartner, by the end of 2020 we will have seen the global public cloud services market reach $266.4 billion, up from $227.8 billion in 2019. 46. AWS vs. Azure vs. Google Cloud: Which One Delivers Most Value for the Price How to choose the right cloud provider for your business? Read this updated 2021 pricing comparison for AWS vs. Azure vs. Google Cloud. 47. How to Install Anthos Bare Metal on Intel NUCs: A Beginner's Guide Anthos on Bare Metal allows you to spin up a cluster from as few as 2 Intel NUCs. It’s a relatively straightforward process. 48. 6 Cloud Predictions for the Near Future Looking forward to the new decade, it would be tempting to speculate where the cloud industry could be heading. With tech developments in the cloud shop, by 2022, sectors like AI-Web, IoT, Blockchain, Space Cloud Computing, etc. are assumed to reach new heights. 49. Cloud Cost Management Vs. Cloud Cost Optimization: Which is Better? Cloud cost management doesn’t guarantee savings, automated optimization does. 50. Building Sustainable AI/ML Solutions in the Cloud with Federated Learning Compared to centralized training and cooling mechanisms adopted at data centers, how can Federated Learning help us combat detrimental environmental impacts? 51. Gonna fly now: why I've left Silicon Valley's lions for Vultr Do you ever feel like an underdog? And that sometimes all that’s left is scraps?
If you can relate, then I think you’ll enjoy my Silicon Valley career story. 52. What is Cloud Gaming and How is Google Leading the Industry? Most games today are downloaded and played on smartphones, gaming consoles, and PCs. Network connections support player accounts and in-game purchases, but the games themselves run on players' devices. Game companies build services around top game titles, enabling them to deliver continuous updates that add new gameplay and respond to the public feedback on social streaming services. 53. Exporting Your GKE Cluster to Terraform Cloud: A Guide with Challenges and Solutions In this article, I'll share our journey at ANNA Money from using our Kubernetes installation in GCP to the managed Kubernetes service by Google and GKE. 54. Open Source Worse Practices: Serverless Inc. as an Example of What Can Go Wrong What can go wrong when you don’t keep up with your developer community 55. 3 Risk-Mitigation Lessons That We Learned The Hard Way This Year What do in-flight refueling maneuvers and cloud-to-cloud migration have in common? 56. Serverless Python Google Cloud Platform: Hosting Django on Cloud Run Learn about the basics of Serverless, Docker and deploying a Django (Python) application to Cloud Run, a serverless offering by Google Cloud Platform 57. Use Declarative Cloud Functions In Your Serverless Apps To Control Size of Codebase After more than two years of building serverless applications on Firebase and writing countless Cloud Functions, I realised a lot of it began to repeat. 58. Get a Free Week on Cloud Academy To Kickstart Your Tech Training Are you looking to make a jump in your technical career? Want to get trained or certified on AWS, Azure, Google Cloud Platform, DevOps, Kubernetes, Python, or another in-demand skill? 59. I Found A Painless Way To Manage Secrets In Google Kubernetes Engine When deploying complex SaaS platforms, secrets can quickly become the bane of one’s existence. I once wrote about how we ran out of space for our environment variables (in Elastic Beanstalk) because we had so many API keys and secrets. But those were the bad old days. 60. Making Hybrid and Multi-cloud Applications a Reality with Anthos Recently, Google launched Anthos platform in its Cloud Next Conference and since then it has been the talk of the town! 61. The Best Cloud Computing Programming Languages To Learn Learning cloud programming is the need of the hour in this era of technology.  Here is the list of the best cloud computing programming languages. 62. YubiKey Introduction: GCP Service Account Key Generator Or how to stop leakage of your keys once and for all 63. Good and Not So Good Things With Firebase Most of the developers have heard for Google’s product called Firebase. It’s, how Google says “mobile platform that helps you quickly develop high-quality apps and grow your business.“. It’s basically a set of tools that most developers will need when building an app. In this article I’ll go over these tools, and point all the things you need to know if you choose to use Firebase. 64. How to Migrate From GCM To FCM Reinforcing Google’s decision made about deprecating the Google Cloud Messaging on 11th April 2019, everyone is required to migrate from GCM to FCM to ensure smoother push notification to the subscribed users. And, the migration part requires seamless efforts and technical expertise to carry out. So, this blog will unfold all the terms pertaining to GCM to FCM migration 65. Evaluating Cloud Backup Solutions: AWS vs. Azure vs. Google Cloud Source: Pixabay 66. Comparing Container Pipelines Introduction 67. GitHub Actions: How To Deploy To Google Kubernetes Engine GitHub actions and workflows are great. We use them to deploy a web app to different cluster environments and I want to show you how we did it. Hopefully, this helps to simplify your deployment process as well. I’ve also written a companion article that describes our GitHub workflows for continuous integration. 68. Anthos on Bare Metal: How to Manage a Private Cluster From the Cloud The millions of devices that currently make up the Internet of Things (IoT) reside not in the cloud but on-premises: from retail stores to factory floors. Thank you for checking out the 68 most read stories about Google Cloud Platform on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

68 Stories To Learn About Google Cloud Platform

Let's learn about via these 54 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Computers /Learn Repo 1. A Guide to Two's Complement: Calculating And Converting For Binary Numbers Modern computers today use a binary number representation system called 'Two's complement'. It is a fixed number of binary digits used in computer calculations. Basic math operations such as addition and subtraction can be performed using the binary rules of addition and subtraction. Two's complement is not a complex scheme and is rather very simple to work with. This system also helps overcome the shortcomings of having to deal with magnitudes. Two's complement can be characterized as: 2. Smaller, Faster, and Cheaper Coding Laptops via AWS My Coding Laptop is Smaller, Faster, and Cheaper than Yours and it lives in an AWS Data Center! 3. I Test, Therefore it Works To put it simply, programmers make it work and testers make it break. The benefits beat the costs in the long run. 4. What Is Bottleneck in PC World In the last article, which you can read here, I was talking about which PC components are crucial for programmers. Basically, I listed all the components to worry about, but I’ve also said that you need to keep the Bottleneck in mind. Because, there’re a lot of people who don’t know what is a bottleneck, in this article, I’ll try to explain what that is. 5. Raspberry Pi 400: $70 Cheapest PC of 2020 for Programming If you have ever wondered if there is any Desktop PC that comes at a very cheap price, you probably wouldn't have looked at Raspberry Pi, no one did. Until now, Raspberry Pi was a compact, small machine with limited performance but it has changed with the arrival of Raspberry Pi 400. Raspberry Pi 400 is a complete personal computer built into the Raspberry Pi Keyboard giving us the cheapest complete computer of all time. 6. Thinking of Humans as a Computer Program 7. Microsoft Urges Users Not to Remove Expired Windows 10 Root Certificate The root Windows certificate expires on December 31, but it is still required for the OS to function properly. 8. Nvidia Vs Amd Graphics Card: Where This Never-ending War Lead Us Photo by Uriel Soberanes on Unsplash 9. 5 Mac Apps with the Largest Service Files Merely removing apps on Mac OS X is not a hard thing to do: drag & drop or just delete to the Trash. But sometimes after such removal on your Mac, there could be left system files, caches, logs, and other debris – called app leftovers. That is why it is better to use special third-party app uninstallers for removing programs from your Mac with all their service files. 10. Linux Desktops and Hardware Enablement - It’s Time for a Change If you told me twenty years ago that Nvidia GPU's would still be a pain in the you-know-what to get working in Linux to this very day, I wouldn't believe you. 11. What is RS232 Communication? As many of you are no doubt aware, it’s not easy to find a modern consumer-grade computer today that would have a classic serial port. However, just because laptop makers stopped adding them doesn’t mean the legacy ports are no longer used nowadays. Being an essential part of medical and networking equipment, serial ports can still be found on a large number of old and new useful devices. 12. Windows 10 New File Recovery Application Microsoft released its own File Recovery Tool in the Windows Store, making it a lot simpler to choose which device you need on the off chance that you lose a significant bit of information on your PC. 13. How To Check What Motherboard I Have The knowledge of the motherboard is essential for you as it helps you to decide whether you should upgrade your drivers or not. And to what extent you can update your drivers. Someone might suggest you look for the information on your computer system, but that is not understandable to all. We will help you in figuring out your query. 14. 3 Best DVD Ripper Software for Windows and Mac We all know that a DVD ripping software works by transferring a video into DVDs, back up or edit a DVD content, as well as to convert a DVD video into the media player and mobile devices playback. 15. Computers on the Farm A computer can be very useful when repetitive analyses are needed or when data storage is important, as with financial records or daily milk output per cow. 16. What to Do Before Selling a Computer Planning to sell your computer? Here's everything you need to know to get it done right. 17. How to Choose a Microcomputer System Many computer experts strongly recommend against buying a computer first and then shopping for the software packages. 18. All You Need To Know About Computer Hardware PC equipment alludes to the physical segments that make up a PC framework. 19. How to Combat Cyber Security Threats and Attacks Progress in complex technology can result in the ‘progress’ of complex threats. 20. Easiest Ways to Fix ERR_CONNECTION_RESET Error [SOLVED] The "ERR_CONNECTION_RESET" error is a common error message that appears in Google Chrome when a website fails to load. This error is typically caused by a problem with the connection between your device and the website you're trying to access. 21. How to Generate Random Numbers - A Guide to TRNGs and PRNGs We'll take a look at how computers generate random numbers and the limitations of pseudo-random number generators. 22. Artificial Intelligence and Machine Learning: A Significant Game Changer in Healthcare A well-organized and trusted data source fosters a faster and more accurate healthcare system. 23. 17 Reasons Why Your Computer is so Slow If you're wondering why your computer is so slow and generally performing poorly, this article will give you 17 things that may be wrong and 8 ways to better optimize your PC. 24. What a Computer Can Do for You - Process Controllers Besides analyzing farm management problems and storing data, computers have another key use—as process controllers. 25. How to Solve: Nova Spatie 422 error "This disk is not configured as a backup disk" Spatie's Laravel Components are surely known to most and are great helpers to build any kind of Laravel application or website. I've been using the Spatie' Laravel Backup component on my projects. With my recent shift to Laravel Nova on my new project, I've started to look at the related Nova component. It worked fine, once I got over some initial trouble. 26. Download This Virus Donating Compute to Fight COVID-19 27. What are File Permissions and Why do they Matter? Each and every file on a computer has what we call file permissions. These are attributes of the file that determine who has permission to access that file and what they can do to that file. To understand what file permissions are we first need to determine what exactly a file is. 28. What a Computer Can Do for You  - Telecommunications With the computer hooked up to the telephone, you can get information quickly, receive it visually, and record it in detail if you wish. 29. Charging Up Your Debugging Skills After struggling with a finicky laptop charger, I learned some valuable lessons in software debugging 30. Circuit Boards: Motherboards, System Boards And Mainboards The motherboard serves to interface the entirety of the pieces of a PC together. The CPU, memory, hard drives, and different ports and extension cards all interface with the motherboard legitimately or through links. 31. WTF is Power Supply Unit? The Power Supply Unit is the bit of equipment that changes over the force gave from the outlet into usable force for the numerous parts inside the PC case. 32. A Comparison Of The Best Desktops vs Laptops For Coding Every programmer who is buying a new computer will ask themselves, ‘Should I buy a desktop or a laptop for coding’? Also, what computer should I buy if I also want to do other things besides coding, like playing games? 33. Mobile Devices Will Never Replace Desktops The future of technology makes a lot of people very curious. There are hundreds of new devices developed every day, each of them improving upon former models. 34. What are Microsoft Windows Display Drivers? - A Brief Overview Microsoft introduced the Windows Display Driver to drive the video cards installed in the Windows OS. 35. What if Malware isn’t Slowing Down Your Games? Most experienced gamers realize that many different kinds of malware can slow down their games. 36. Why RPA Is Attractive to Manufacturers As Kevin Ross from CyberArk puts it, “RPA is one of the hottest technologies in the IT market today, mainly due to its potential to deliver huge benefits to companies.” Many businesses are rushing to close the gap between production and demand for their services, especially after the COVID-19 disruptions. 37. Solar Home Systems: The Changing Paradigms of Electric Power From electric cars to recyclable plastics; there have been several moral responses to the earth's clarion call to caution, many have become a mainstream tech. The development of alternative energy is also bridging the gap between being a moral responsibility and being a much-needed technology that is clean and cost-effective. One of these much-needed technologies is the solar home system. 38. Real-Time Rendering Tool with Reconstructions Based on UE4 Raytracing Tech Direct use of UE4's pathtracing is a great yet not perfect solution, since UE4 uses BruteForce 39. 5 Best Budget Gaming Laptops Under $500 Lenovo, Asus, and Acer produce some of the best budget gaming laptops under 500 USD. The extensive features and a multitude of uses has led to gaming laptops being preferred over consoles in today’s gaming world. But as the demand for gaming laptops rose, so did their prices. 40. KFC Partners with Cooler Master to Launch Gaming Console with Chicken Warmer A new collaboration between fast-food chain giant KFC, Intel, and Cooler Master has birthed the perfect gaming console for the chicken lover. 41. Computers on the Farm by Deborah Takiff Smith - Table of Links Computers on the Farm, by Deborah Takiff Smith is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! 42. BitBanged Serial Peripheral Interface in Go on Raspberry Pi [Explained] I’m going to focus mostly on some design decisions and also how I went about writing an SPI interface using Go on a Raspberry Pi. I assume my readers have a basic understanding of what a Raspberry Pi is, and how basic electronics work. If not, read on anyway and I will be sure to include some valuable resources below. 43. How Computer Recycling is Going to Save Your City E-waste makes up more than half of our toxic waste and it’s going to take all of us working together to make sure that the environmental impact is diminished. 44. How To Install Virtual Media On An iDrac Controller The iDRAC is a Dell remote access controller. This controller allows for remote power cycling, and a virutal console with keyboard, video, and mouse. It also provides a number of ways to roll out an operating system or vmware. 45. Introducing YALT: Because some people don’t like LLVM. We all wait for our program to compile (or someone else’s) and we keep thinking “This is it. It’s going to fail”. And sometimes it does. But sometimes (thankfully), it doesn’t. Then we discover a bug (Or two. Or three) and we all know how it goes from there. 46. An Intro to Quantum Computers Gordon Moore, the founder of Fairchild Semiconductor and former CEO of Intel in his 1965 paper, described that the number of transistors in a dense integrated circuit double about every two years and this statement is famously known as Moore's Law. Moore's law was consistent for the past 50 years, but with the current technological advancements, it is coming to an end. It is starting to become physically impossible to reduce transistor sizes to increase computational efficiency further, and hence this calls for alternate methods. 47. What a Computer Can Do for You  -  Other Uses Other Uses 48. How to Install Anthos Bare Metal on Intel NUCs: A Beginner's Guide Anthos on Bare Metal allows you to spin up a cluster from as few as 2 Intel NUCs. It’s a relatively straightforward process. 49. Port Forwarding for Noobs Port forwarding is used to enable a router to use a specific port to communicate with certain devices on a network. Learn more about how it is set up here. 50. How Big Data and Computers Leveled Up India in the 1950s When we think of computers, we think of the twenty-first century. But did you know that India started using them back in the 1950s? 51. Strategies for Getting Into Computers One way is to first buy the basic hardware and components you think you need, and then add memory and other components later 52. A Brief Introduction to System Drivers All computers operate with hardware, including; soundcards, video cards, USB ports, etc. Just about everything on your PC that ant a software program. 53. How To Choose A Laptop When You're A Software Developer So you’ve either decided to go into software development, you’ve been doing software development for a while and you’ve decided to pickup a laptop, or you want some insight into what might be some good options for your next computer. There are various reasons to want a personal laptop: 54. Everything You Need to Know About Refurbished Computers via TechSoup Explore the details of refurbished computers from TechSoup Thank you for checking out the 54 most read stories about Computers on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

54 Stories To Learn About Computers

The French commander Nicole, surnamed the “Pilgrim,”

Chris V Gomes Muffat has always had an uncanny knack for transforming complex, futuristic concepts into profitable realities. This entrepreneur, businessman, and AI virtuoso is yet again commanding the spotlight. His latest marvel? An AI platform that's shaking the advertising industry to its foundations. But let's pause for a moment. If you're picturing a rigid machine pumping out sterile, standardized images, erase that image. ’s platform is more akin to a skilled artist, interpreting the complex orchestra of user interactions and crafting visuals that hit the bullseye every time. It's about an AI that doesn't just see data but understands it. Chris V Gomes Muffat Breaking down the innovation behind , he explains, "FocalStudio.ai offers a fast solution to create tailored images and illustrations for ads, using continuous learning and A/B testing for maximum brand alignment and audience engagement. Through extensive A/B testing, the AI absorbs data like a sponge and refines images to attract specific demographics. It's like having a Picasso who's also a mind-reader.” FocalStudio.ai Now that's a rare find and a project that could mean a seismic shift in how marketers strategize. After all, who wouldn't want an AI assistant that paints not just what we can see but what we can't? And if AI can genuinely understand and predict consumer behavior, the implications are both profound and lucrative. The platform’s impact lies not only in the enhanced effectiveness of marketing campaigns but also in the cost-cutting potential. Traditional advertising methods often require substantial investments in market research, design, and extensive human resources. However, with the AI platform at their disposal, companies can streamline their marketing efforts, saving both time and resources. “By leveraging an AI assistant that understands and predicts consumer behavior, businesses can minimize trial and error, delivering targeted advertisements with a higher probability of resonating with their audience,” Muffat explains. Never one to rest on his laurels, has two other ventures up his sleeve. , his AI content creation brainchild, targets to polish the rough edges of AI language processing technology. "Promptify.com is a unique AI hub that employs advanced language processing to generate intricate, sector and audience-specific content. It makes sure that the AI understands the nuances of your question before shooting out an answer. It's about refining interactions to a whole new level," shares Muffat, his eyes gleaming with excitement. Chris V Gomes Muffat Promptify.com Then there's , a platform that is all set to be the Airbnb for AI solutions. It hosts a variety of AI options and makes it easy-peasy for organizations to integrate them. "Think of it as an AI watchdog that also makes the AI accessible for you," he elaborates. “It is the first AI Access Security Broker (AIASB) on the market that empowers organizations to evaluate AI ethics and bias, enforce policies, and customize models with their own data for specific needs, while maintaining compliance.” Aithos.ai From cybersecurity and data protection to artificial intelligence, Chris V Gomes Muffat has covered a spectrum of tech arenas. But ask him about his favorite, and he doesn't miss a beat: "AI," he declares, "is where my heart is at the moment. It's a thrilling journey, and I'm enjoying every step." If there's one thing we could learn from Muffat’s' journey, it's this - in the ever-evolving tech landscape, the wizards are the ones who dare to innovate. And as for Muffat himself? He's a wizard worth watching. His passion is evident, and the world should be waiting to see where his ventures will take him — and the world as well. Writer: Olivia Li Presenter: Ryan Kim This story was distributed as a release by Ascend under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author

Revolutionizing Marketing: AI Ad Wizardry by Chris V Gomes Muffat & FocalStudio's Image Sorcery

Revolucionando el marketing: AI Ad Wizardry de Chris V Gomes Muffat y Image Sorcery de FocalStudio

Révolutionner le marketing : AI Ad Wizardry par Chris V Gomes Muffat et Image Sorcery de FocalStudio

क्रांतिकारी विपणन: क्रिस वी गोम्स मफैट और फोकलस्टूडियो की इमेज सोरसेरी द्वारा एआई विज्ञापन विजार्ड्री

マーケティングに革命を起こす: AI Ad Wizardry by Chris V Gomes Muffat と FocalStudio の Image Sorcery

Revolucionando o Marketing: AI Ad Wizardry por Chris V Gomes Muffat & FocalStudio's Image Sorcery

Cách mạng hóa tiếp thị: Phù thủy quảng cáo AI của Chris V Gomes Muffat & Phép thuật hình ảnh của FocalStudio

营销革命：人工智能广告魔法 Chris V Gomes Muffat 和 FocalStudio 的 Image Sorcery

THE CRIPPLE

Let's learn about via these 51 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Edge Computing /Learn Repo 1. Edge Computing Is So Fun - Part 1: Outdoor Edge Computing Cloud computing has been very boring for a long time. Everything is inside the data center and you don’t even see the systems that you are working on. 2. On the Edge of a New Year: IT Predictions for 2022 The single biggest cause of network errors are people. 3. IoT Development and Edge Computing: Why Do We Need It? Are you wondering how IoT development services and edge computing could be beneficial in your life or business? Learn more about how IoT services work in this guide. 4. 8 Cloud Computing Trends to Watch in 2021 Cloud computing has grown exponentially in the past decade and is not about to stop. As predicted by Forrester’s research, the global public cloud infrastructure will grow 35% in 2021, many thanks to the pandemic. Due to the lingering effects of covid-19 in 2021, the cloud will be the key focus for organizations looking for increased scalability, business continuity, and cost-efficiency. 5. The Megashift Towards Decentralized Edge Computing Why do we need Edge Computing? Why is the cloud not the solution for everything? Why is Edge Computing adoption taking so long? What's the solution to it? 6. Introduction to Qoddi.com App Platform Qoddi is a PaaS app platform made for business, free for developers. 7. How Edge AI Chipsets Will Make AI Tasks More Efficient Edge chipsets are here to stay and improve how people use and produce data. With the pairing of AI, every task, no matter how small, becomes simpler. 8. I Found a Way to Donate Unused CPU Cycles to Combat the Coronavirus! The Folding at Home research project uses crowd sourced CPU power to help model simulations to develop treatments for diseases. You can help them by taking 5 minutes to download their client, and donate some CPU Cycles. 9. How to Use Cloud-init to Self-Register k3OS Clusters to Rancher The lightweight Kubernetes OS that is known as k3OS has quickly been gaining popularity in the cloud-native community as a compact and edge-focused Linux distribution that cuts the fat away from the traditional K8s distro. While k3OS is picking up steam, it is still on the bleeding edge and there is still a bit of a shortage of learning material out there for it. 10. AWS Snow Family: An Old Solution to a New Problem The AWS Snow Family is a group of three products that solved the problem of slow data transfers and edge computing associated with cloud storage. 11. Startup Interview with David A. Smith, Founder & CTO, and John Payne, CEO of Croquet The Croquet Collaboration Library and Frameworks are the easiest & most powerful way for developers to create instantaneous shared experiences. 12. How Edge Computing Will Evolve in 2023 economy in the year ahead and continuing to worry that inflation is eroding everything, business leaders are bracing for rough times in 2023. 13. Important Considerations for Pushing AI to the Edge AI at the edge means that we’re simply moving at least portions of the process out of centralized data centers closer to where the data originates and where decisions are made in the physical world. 14. Building Business Ecosystems Through an Open Edge (Part One) In the rapidly-evolving technology landscape, competitive advantage is based on the ability to innovate rapidly and continuously improve an offering through software- and, increasingly, hardware-defined experiences, not to mention better services. 15. How Can Enterprises Utilize Edge Computer Vision? Business applications of computer vision technology for Enterprises, retail analytics, edge computing, intrusion detection and monitoring 16. Things COVID-19 Taught Us About IoT Edge As we watch various industries react to movement restrictions and new work-from-home environments, it has also caused us to reflect on the future of IoT and the role edge computing will play. We wanted to take this opportunity to share a few observations on how the current situation exemplifies the benefits of edge computing and having remote orchestration capabilities for critical systems through IoT solutions. While we hope that we’ll see a return to a more normal way of life soon, we believe that remotely-orchestrated IoT edge solutions will be an integral part of businesses’ digital strategies well into the future. 17. Live on the Edge of Computing Data is the lifeblood of any application and any business venture. 18. Edge Computing is So Fun Part 5. CDN Is The Magic Inside Disney’s Streaming Services Without the CDN infrastructure, Disney+'s 100 million subscribers will not be able to enjoy the movies at home during the pandemic. 19. How IoT And Edge Computing Influence Various Industries From healthcare to lifestyle, everything is being influenced by emerging technologies like IoT and edge computing. Moreover, as data remains the foundation of today’s economy, businesses can use these emerging technologies to offer a more personalized experience to their customers. 20. Building Business Ecosystems Through an Open Edge (Part Two) Why an Open, Trusted Edge is Key to Realizing the True Potential of Digital Transformation 21. #NoBrainers: You Need A High Performing Low Latency Distributed Database Certain industries greatly benefit from high-performing, low-latency, geo-distributed technologies. 22. The Noonification: How Can Enterprises Utilize Edge Computer Vision? (1/14/2023) 1/14/2023: Top 5 stories on the Hackernoon homepage! 23. AI, Big Data, Blockchain, and Edge:  Welcome to 2020 Technological advancements and digitization have become inevitable in this online world. 24. Eclipse 2020 IoT Developer Survey On May 12, the Eclipse Foundation launched the sixth edition of the IoT Developer Survey. We encourage developers in the IoT open source ecosystem to add your voice to the IoT Developer Survey to help the industry gain the broadest possible view of the state of IoT technologies in the context of commercial IoT! 25. Edge Intelligence: the Upcoming Challenger to Cloud Intelligence The true edge intelligence lies in this decentralised topology, which will give rise to a new generation of chip companies focusing on computation and more. 26. An Intro to Edge Computer Vision: Technologies, Applications, Use Cases and Key Models introduction to computer vision technologies, applications, use cases and key models. 27. Building Business Ecosystems Through an Open Edge (Part Three) Getting to “Advanced Class”, Including Focusing on Compounding Value with the Right Partners 28. KubeMQ Secrets To Build A Great Kubernetes-based Solution In A Hybrid Environment A messaging platform that was purposefully built utilizing Kubernetes is a crucial component to successful deployments in hybrid and edge environments. 29. What's Next for Adaptive Neural Systems? There is a trend in neural networks that has existed since the beginning of the deep learning revolution which is succinctly captured in one word: scale. 30. Tackling Environmental Issues with Software: How Remote GPU Reduces the Impact of GPUs Demand for accelerated computing brings a large environmental impact. Remote GPU software will sharply reduce that impact via higher utilization of GPUs. 31. T-Mobile’s Accelerator and Innovation Lab is Paving the Way for 5G Adoption Across the US Why does 5G excite me?!? As a technologist (though I guess everyone on Hackernoon is), I have been on the never-ending hunt to speed up all critical things in my life. The internet is certainly one of those things. The theoretical maximum speed of 5G is 100x faster than current 4G technology. That is faster than a cable internet connection. It's more akin to having a fiber connection installed, but it's wireless! Doesn't that just blow your mind? 32. Serverless at the Edge: A Quick Overview Edge computing platforms like Cloudflare Workers and Deno Deploy allow us to write serverless middleware and backends that are both very fast and cheap. [33. Edge Computing Is So Fun Part 3: Help Save The Planet With Smart Cities](https://hackernoon.com/edge-computing-is-so-fun-part-3-help-save-the-planet-with-smart-cities-n5143e85) Figure 1. Singapore was ranked №1 on the Institute for Management Development’s 2020 Smart City Index Report. Credit: International Case Studies of Smart Cities 34. How to Install Anthos Bare Metal on Intel NUCs: A Beginner's Guide Anthos on Bare Metal allows you to spin up a cluster from as few as 2 Intel NUCs. It’s a relatively straightforward process. 35. Can You React Faster than a Self-Driving Car on 5G Networks? This article is about how self-driving cars and 5G will make roads safer for everyone. 36. Cloud Computing and the Evolution of SASE Cybersecurity Often, cloud applications are deployed “as is,” without the proper security controls needed to prevent data leakage, data exfiltration or malware infection. 37. The Promise Of Edge Computing Edge Computing uses local devices to compute, store and communicate data. Edge computing can therefore be thought of as an extension of cloud services (which allow compute, storage, analytics, and other functions to be executed remotely) to the user’s local devices, speeding up computation and making it more secure. 38. Turning Users Invisible: Edge Machine Learning in Privacy-First Location Detection How to use edge machine learning in browser for privacy-first location detection. Turn your users invisible while building location-based websites. 39. Securing the IoT Edge (Part 1) IoT adoption in enterprises is on the rise. Yet despite interest in the space accelerating, organizations of varying sizes and verticals have run into several roadblocks in implementation. 40. Pushing AI to the Edge: Use Cases and What is Next [Part 2] In Part One of this two-part Q&A series we highlighted some key considerations for edge AI deployments. In this installment, our questions turn to emerging use cases and key trends for the future. [41. Edge Computing Is So Fun - Part 2: The Future  Begins with The Road Side Unit](https://hackernoon.com/edge-computing-is-so-fun-part-2-the-future-begins-with-the-road-side-unit-4ls3wrp) This is the second in a series of articles on edge computing, delving into the infrastructure of outdoor edge computing, the emergence of the Roadside Unit as a common building block, a real-life example of the Roadside Unit, and the way forward. 42. An Introduction to the appfleet Edge Computing Platform A new edge compute platform goes live. appfleet allows users to deploy containers and applications to multiple global regions 43. Edge AI: the Innards, Use Cases, Benefits, and Barriers Recent research suggests that the number of Internet of Things devices used globally will exceed 38 billion by 2025. 44. No Such Thing As The Intelligent Edge But it will be much bigger than the Internet. 45. A Guide to Enhancing Security at the IoT Edge (Part 2) The computing landscape has long observed a swing between centralized and distributed architectures, from the mainframe to client-server to the cloud. The next generation of computing is now upon us, representing both a return to the familiar distributed model and a breakthrough in rethinking how we handle data. 46. How to Leverage Open Source GraphQL CDN/Edge Cache With Cloudflare, Fastly, and fly.io We'll learn how you can leverage our API Developer Framework to add Edge Caching to your GraphQL APIs without locking yourself into a specific vendor. 47. Edge Computing and the Metaverse Edge computing in relation to the metaverse 48. Using KubeMQ Bridges to Communicate Between Edge and Cloud Clusters Struggling to communicate between your edge sources and the home cloud? Messaging could be the solution. 49. Step-By-Step Tutorial To Deploy A Distributed Node.js App At The Edge In this tutorial, we are going to demonstrate how to deploy a distributed Node.js app at the Edge using Section's Edge Compute Platform. 50. Zero Trust Strategies To Combat Breaches Like Mirai, Stuxnet, Verkada and Beyond A zero trust security model at the end would prevent breaches from happening. 51. Anthos on Bare Metal: How to Manage a Private Cluster From the Cloud The millions of devices that currently make up the Internet of Things (IoT) reside not in the cloud but on-premises: from retail stores to factory floors. Thank you for checking out the 51 most read stories about Edge Computing on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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