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Product management has grown in popularity recently as businesses recognize the importance of developing products that meet customer needs and solve real-world problems. Product managers plan ahead of time and collaborate with cross-functional teams to oversee the entire product development process, from inception to building to launch and beyond. Product managers need an in-depth knowledge of the market, customers, business, and data in order to strategize effectively. As a product manager, you define the product vision, and roadmap, conduct research, launch the product, and continuously refine the product. You work with cross-functional teams, including engineering, , and sales, to create a unique, value-driven, and successful product. design There are different types of product managers, including Product Owners, Growth Product Managers, Technical Product Managers, and Platform Product Managers. Although their core responsibilities are the same, their roles differ in subtle ways. You will learn their distinct roles in this blog. The role of a product manager is complex, and your tasks and responsibilities overlap with other positions. On a daily basis, PMs handle a multitude of tasks. As a PM, you conduct daily meetings with the product team to address their concerns and discuss the progress of the ongoing projects. You talk to the users to understand their pain points and how the product is performing. You analyze data, prioritize features using various metrics, and create roadmaps to constantly refine the product. You strive to make the product better by staying aligned with the company's goals. This article will provide an in-depth insight into the roles and responsibilities of product managers. You will also understand what it takes to be a successful product manager. At the end of this article, you will find a few useful tips for aspiring product managers to help them succeed as product managers. What is a Product Manager? Product Managers oversee the product development process from its inception and ensure the growth and success of the product by collaborating with multiple stakeholders. PMs have a unique blend of technical skills, business savvy, and leadership ability to lead the way for the product team to craft the best product. In order to be successful, it is imperative that the Product Manager understands the product's purpose, target market, and value proposition. PMs articulate and communicate the vision of the product to the development team. In this way, they empower the product team and facilitate product growth. Product managers are often called the “CEO” of the product. However, as Marty Cagan has rightly mentioned in his book Inspired: PMs coordinate with cross-functional teams to ensure their efforts are aligned with the goals of the business and also cater to solving the real-life problems of customers. ‘even though they are called CEOs, they are not a boss to anyone.’ According to Marty Cagan, a product manager’s four key responsibilities include the following: Customer Market/Industry Data Business In other words, as a product manager, you should engage in extensive research to understand the marketing landscape, industry, customer requirements, and business viability to carefully strategize the product journey. The role of a product manager is complex, and many of their tasks and responsibilities overlap with other positions. Product managers have multiple roles and take care of various things like business cases, , communication with the business, decision makings, and so much more product roadmaps Types of Product Managers Product managers, as previously stated, are crucial to the success of any product. PMs are in high demand as more businesses recognize the value of product management. The responsibilities of a product manager would differ amongst companies.  Although all product managers and product teams do the same essential tasks, they slightly differ in terms of titles and job descriptions. Here, we will be discussing five types of product managers and their major responsibilities. Read on to understand how they are different from each other. Type Responsibilities Product Manager PMs oversee the entire product lifecycle from ideation to launch. PMs: define the product roadmap conduct market research launch the product continuously refine the product. They work with cross-functional teams such as engineering, design, and sales to bring the product to market. Product Owner The product owner is responsible for defining the product backlog and prioritizing the features for the development team. The product owner serves as the customer's voice and guarantees that the development team yields value-driven products. Growth Product Manager A growth product manager is responsible for owning up metrics like product revenue and user engagement. They identify opportunities for customer acquisition, retention, and upselling. Technical Product Manager They have a strong technical background. Technical product managers primarily work with the development team to curate products that fulfill user requirements. Platform Product Manager A platform product manager handles a platform that caters to different customers or products. They determine the roadmap for the platform, manage interactions with partners and clients, and guarantee the platform's scalability and security. Responsibilities of a Product Manager The stage of the firm has an impact on the roles and responsibilities of a PM. While mature companies have more defined PM roles, startups typically expect PMs to be in charge of "everything." Before accepting a PM position, it is recommended Product Managers study the company's philosophy, culture, and requirements to make sure they are a company fit. Day-to-Day tasks of a Product Manager with the Product Team The role of a PM demands a unique combination of technical knowledge, creativity, and business acumen. It is pretty obvious that each day is distinct for PMs. You are responsible for a vast array of tasks, and handling them all can be challenging. The following section will help you understand what do a product manager do on a day-to-day basis. Tasks Description Daily Standups PMs conduct regular meetings with the product team to analyze and understand the progress of ongoing projects. This helps them to address their concerns and to ensure the goals are met on time. Conduct Customer Interviews Conducting customer interviews helps them understand user requirements. This assists them in understanding the value that the customer receives from the product. Additionally, it aids in the refinement of products according to the needs of the users. Networking PMs frequently get ideas from their peers and constantly search for fresh and innovative approaches to product development. The improvement of the development process is facilitated by having effective communication with various stakeholders both inside and outside the firm. They motivate their team to go beyond their comfort zone by conceiving innovative ideas backed by compelling evidence. Roadmap Planning Defining roadmaps allows every stakeholder to be on the same page regarding product development. It ensures transparency in the product journey and keeps everyone informed and aligned toward achieving the larger goal. Curating a roadmap can be challenging. This is why software like is there to be a companion for PMs like you to create comprehensive roadmaps effortlessly. Zeda.io Data Analysis PMs have to analyze qualitative and quantitative data to measure the product's success and scalability. Data helps them prioritize feature requests and also to identify areas of improvement. In short, data analysis would help them to define success metrics. Framing PRD You have to develop PRD on a daily or weekly basis. A PRD has information on the product’s purpose, requirements, and user stories. PRD is important to keep the team focused on attaining the common goal. Cross functional Responsibilities of a Product Manager Product managers are responsible for creating products with customer and business value. Therefore, a PM is constantly in collaboration with customers, the product team, and key stakeholders of the company. As a PM, you should be able to find a balance between the needs of the customer and that of the company stakeholders. You are the facilitator of a cross-functional product group made up of experts from various divisions, including engineering, product marketing, design, customer service, finance, legal, marketing, program and project management, sales, and support. For the delivery of the entire product experience, close collaboration with each of these areas is essential. This section will help you understand how this cross-functionality works. Engineering PMs work closely with the engineering team to develop and improve the product development process. By converting business requirements into technical specifications, they ensure that the developer team meets the company's objectives. Finance They work with the financial team to track metrics and maximize business growth to fulfill your responsibilities. They track all the expenditures and revenue that are involved in the business. Also, often, they work with them to decide on the pricing of the product. Sales PMs collaborate with the sales team to ensure that the product meets the needs of the customer, is competitive in the market, and meets revenue targets. They work together on customer feedback, market insights, sales enablement, revenue targets, and marketing strategies. Customer Support They work together to collect feedback from customers and identify and resolve issues. They collaborate to ensure customer retention and satisfaction. Legal The legal team ensures that the product complies with relevant regulations, is protected by intellectual property laws, and that contracts and agreements are in place to support the product's development and ongoing management. Marketing Product managers devise strategies for positioning the product in the market. Also, PM works with marketing teams for the management of product releases. Project Management The project management team collaborates with PMs to ensure that their initiatives are delivered on time and within budget. Skills, Traits, and Qualifications of a Product Manager A product manager ought to have certain skills, traits, and qualities to drive the growth and success of the product. product management Let us look at a few skills that a PM needs: Strong Communication Skills As a PM, you must communicate effectively with numerous internal and external stakeholders. You should be able to influence others, empower your team, and navigate situations using your communication skills. Product Managers need to be able to articulate clearly the business case of a given initiative or feature, so the product team understands why they building it. Problem-Solving Skills It is important that you have problem-solving skills as a PM because you would have to solve the issues of your team. You should be able to tactically surpass any challenges that come your way. Product Managers should have the superpower to deal with problems and make informed decisions. Leadership Leadership skills help collaborate with cross-functional teams and make sure that everyone is focused on the same objectives and moving in the same direction. It aids Product Managers in keeping the Product team motivated to perform better and empowers them to take ownership of their work. Technical Knowledge Although having a technical background is optional for a PM, it can be useful in understanding the product and the development process through a technical lens. Also, technical know-how would help you communicate better with the development team. Market Knowledge You must thoroughly understand the market and target audience to ensure that the product meets their needs. With this knowledge, Product Managers can devise ground-breaking strategies to differentiate themselves in the market and create a product that customers value. Data Analysis Data analysis is a major skill that a product manager has to master. You have to sift through loads of data; hence, Product Managers must be able to independently analyze it effectively and pull the most out of it. Creativity You need to be creative and think outside the box to develop innovative solutions to problems. Creativity is essential to differentiate your brand, product, or service from your competitors. Adaptability You must be able to adjust your approach and adapt rapidly because the nature of your job is dynamic. The job of a PM can be challenging; you have to brace yourself up to face challenges to learn, evolve and thrive. How to Succeed as a Product Manager? The success of any product manager relates to the success of the product they are working for. Here are some factors that a product manager needs to keep in mind to be successful. Understand Company Goals You must align the product vision with the overarching business objectives in order to ensure the product's success. This helps a Product Manager stay on task and prevents from straying from the business goals and outlook. Build Strong Relationships As a PM, you must constantly interact with multiple stakeholders for improved productivity and efficiency. It is you who transforms your team's vision into reality and paves the way for product growth. Hence, Product Managers have to build strong relationships with stakeholders and cross-functional teams to ensure that everyone is aligned and working together. Be Customer-Focused Ultimately, the goal of any product is to create viable features that customers will find valuable. You need to be customer-focused and make decisions based on customer needs and customer feedback. This ensures customer satisfaction and thereby increases the customer retention rate. Strive for Perfection To work effectively, you must stay on top of changing trends and keep upskilling yourself. Persevere to create something above the ordinary for your customers, and shouldn’t settle for anything other than the best. Tips for Aspiring Product Managers Acquire Relevant Experience: In order to lay a solid career foundation, acquire experience in product management, marketing, or a related industry through internships and working on different projects. Gain Relevant Knowledge: You can attend that are available online to learn well around about product management. Moreover, it is also important to learn the language of computing and the language of business. several courses Establish a Strong Network: To keep abreast of the most recent trends and advancements, establish a solid network of people in the product management sector and go to industry events. Learn from Mentors: Seek guidance and mentorship of seasoned product managers and benefit from their knowledge and experiences. Develop Strong Communication Skills: To effectively communicate with stakeholders and cross-functional teams, develop strong communication skills. Emotional Intelligence- EQ enables you to put yourself in the shoes of your customers, understand their emotions and motivations, and create products that meet their needs. PMs benefit from high EQ when it comes to communicating effectively, building strong relationships, and resolving conflicts. Wrap Up Long story short, product managers play a critical role in developing, planning, and marketing a product. They oversee cross-functional teams, conduct market and user research, and are in charge of the product's success. Product managers need to be effective communicators, strategic thinkers, experts in their fields, and capable leaders. In order to be a successful PM, one has to have an in-depth knowledge of the market, business, customer, and data. Moreover, they should know the product inside out to guide the product team to conceive the best output that aligns with the business objectives. Managing a multitude of tasks at the same time can be chaotic for a product manager. However, is there for your rescue as it brings order to chaos. Zeda.io FAQs Should PMs know how to code? It is not essential for a product manager to know how to code. However, learning the coding language would help them collaborate better with the developer team. How to become a PM with an MBA? Even though an MBA would give you a perspective on how businesses work, it is optional to have an MBA to be a product manager.In order to shine as a PM, you need to have a deep understanding of the market, business, customer, and data. What are the four critical skills of a product manager? Problem-Solving, strategic thinking, communication, and leadership are the four critical skills necessary for a product manager. It's critical to acquire appropriate expertise, develop a strong network, seek out mentors, and maintain a customer-focused attitude if you want to become a product manager.

What Are the Roles & Responsibilities of Product Managers?

¿Cuáles son las funciones y responsabilidades de los gerentes de producto?

Quels sont les rôles et responsabilités des chefs de produit ?

उत्पाद प्रबंधकों की भूमिकाएं और जिम्मेदारियां क्या हैं?

プロダクト マネージャーの役割と責任とは?

Quais são as funções e responsabilidades dos gerentes de produto?

Vai trò & Trách nhiệm của Người quản lý sản phẩm là gì?

产品经理的角色和职责是什么？

Metrics are crucial to DevOps and Continuous Delivery as part of the process of continuous improvement. However, you must balance collecting and displaying data with being flooded with information. You need to decide what data to collect and what smaller set of data you pay attention to at any time. If your car had a dashboard that displayed every metric it collects through the engine management system, there'd be no space for a windscreen. Early cars only featured an on their dashboard, which measured the electric current between the battery and voltage regulator. This was important as it told you the charging system was working. There was no speedometer. Cars could only achieve a top speed of 35 miles per hour, and the suspension discouraged traveling at this speed. It wasn't necessary to measure velocity. ammeter In a modern car, no dashboard space is given to an ammeter (though a battery light will illuminate if there's a problem). But, you will find a speedometer in almost every car. The current dashboard design reflects the development of cars and the broader system they operate in. Engines are more powerful, suspension systems are better, roads are generally smoother, and more cars are on the road. Attitudes towards safety have also changed. Similarly, the metrics you collect and show will change over time as you respond to differences in your team and organization. As you create and evolve your measurement system, there are some common mistakes you should avoid. Ignoring the data The first problem with metrics is that you expend great effort collecting them, but they're not always used. This happens even in organizations that regularly review the numbers. Your data needs some process that generates insights. You can turn what you discover from the information into theories you use for experiments. The experiments should then provide new data to start the cycle again. The only good reason to collect DevOps metrics is to learn more about your work and find ways to improve it. If you collect data , the chances are it will be misused or not used at all. just in case Activity bias There are 4 levels of measurement, with activity often being the earliest and easiest to collect. You can usually track activity in near real-time. The result of the activity is not typically available as an output or outcome-based metric until some later date. Activity metrics are usually a built-in feature of your existing tools, so they're already available. The problem is not all activity represents progress. Some activities might even reduce output and result in worse outcomes. You can use activity metrics to predict future changes to outputs and outcomes. To do this, you must continually test the relationship between your activity metrics and your related output or outcome metrics. If you only measure activity, you get a lot of motion but no progress. Tracking too much at once The number of metrics you collect and display can increase, often rapidly. Before long, you've filled your dashboard with charts, and you don't know what's important and what isn't. You need to keep your tracked metrics lean, current, and relevant. When a chart is no longer helpful, you should remove it from your dashboard. You should also consider whether the metric still needs to be collected and retire it if you don't have a good reason to track it. If you already have a dashboard, open it, and for each chart ask, "What would I do differently if this number went up or down?". Revisit this question frequently, deleting any chart where you don't have an answer. Your metric set should focus on key long-term output and outcome metrics, with dashboards showing short-term metrics across all categories in your current improvement efforts. Jumping into tools Data visualization tools like Microsoft Power BI, Tableau, or Google Data Studio are among the most useful software products you'll have in your organization. Many business tools have a grid or text-based interface, but data tools come stacked with colorful animated charts. It's easy to be distracted by creating an engaging dashboard. If you don't begin with metric design, you end up with lots of pleasing dashboards that have no impact on your daily work. You need dashboards and charting tools to help you make sense of the information but design the metrics first. It's better to start in low-fidelity to collect meaningful metrics. It's okay to start with a simple spreadsheet or even a whiteboard. After you work out which measurements are helpful to your team and organization, start automating the collection and creating slick displays. If you invest too much time creating a stunning dashboard, you'll find it harder to delete charts when they're no longer required. Standardization Some organizations try to replicate the success of a high-performing team by making other teams follow the same process. This is rarely successful, as each team works on different problems and has different skill levels. Just as the process and practices need to be context-specific, so do the metrics. You should address metrics as part of your continuous improvement activities. For a team with long lead times, you measure batch size, queue times, and the time work spends in each state. These metrics are unsuitable for a team whose primary problem is quality. This requires the data, insight, theory, and experiment cycle where you look at the information you have about the problem you want to solve, form a theory about what might improve the issue, then run an experiment to test your idea. The metrics you collect also signal to the team what's important . You often see improvements simply because your metrics communicate that you care about some aspect of software delivery. at the current time Relying on eyeballs You should create a simple dashboard to display the metrics you're tracking for experiments. This should be displayed on an information radiator so everyone on the team can see the data. However, if you only react to data when someone looks at a dashboard, you'll crowd the dashboard with too much information and miss key events. Long-term metrics you keep to track progress over time will seem as important as the short-term metrics you use to improve your software delivery. The key to resolving the problem of retaining long-term metrics without cluttering your dashboard is to put in place a monitoring and alerting process for the data. Automated alerts should tell you if the metrics cross a threshold, and you could use anomaly detection to tell you if something interesting happened. With metrics tracked automatically, you can remove them from the dashboard to free up space. Rewarding performance If your team is working to increase its deployment rate, it can be tempting to incentivize them with a reward if they achieve daily deployments. This approach to motivation leads to poor outcomes. A team might let other critical work slip to achieve the goal - not to cheat the system but because you made daily deployments more important than anything else. In the landmark book, explains that attempting to manage people with incentives leads to long-term harm for your organization. Hundreds of studies have found that people do worse work when offered rewards. Alfie Kohn Using metrics to create a competitive atmosphere, either for individual performance, comparison of different teams, or to gamify the workplace (where you introduce game elements as a form of "fun" competition), all lead to trouble. Competition conflicts with what you really need in your organization: collaboration. If you work on the assumption that people want to do good work, you'll find you don't need to use rewards or punishments to get them to improve their performance. Conclusion The 5 DORA metrics and the SPACE framework provide pre-built, balanced ways to measure software delivery performance. (There used to be 4 DORA metrics, but an additional metric was added.) reliability A good set of metrics will mix leading indicators to predict performance with lagging indicators that check the accuracy of predictions. Measurements should span activity, output, system output, and outcome categories. Whatever you measure, you need to constantly refine your metrics to ensure they remain useful to your team and organization. Ideally, the metrics you collect are relevant to a specific experiment you're running to test a theory. If you use metrics well, you amplify performance and learning as you seek to become one of the elite performers in software delivery. Also published here.

7 Common Misconceptions about DevOps Metrics

The choice of working with Java, which opens up a wide range of possibilities for programming, is well-founded. This is a typeset, high-level programming language created by  Sun Microsystems, later redeemed Oracle, with fairly flexible syntax. For more than 20 years, Java has maintained its popularity, taking one of the leading positions in the market of world technologies. One of its advantages is automated memory management in Java, especially when compared to the C and C++ languages, which don’t have this function. It’s performed using the built-in garbage collector technology «Garbage Collector» or GC. To explain this important feature, it’s worth noting that the system accumulates in its memory objects that occupy memory but are not used. That tool significantly helps in the elimination of such a problem as a . memory leak Of course, Java is not the only platform that has such an important and useful function as a garbage collector. But in addition to its other features, such as HotSpot optimizer or excellent backward compatibility, comparison – Java certainly stands out among other platforms. So what’s the problem if Java has such a useful function of distribution and clearing of memory? Let’s see. What are memory leak and their causes To better understand the essence of a direct example, you should start with the Java memory structure. 1. Memory structure and its cleanup Java application data can be stored in spatial blocks such as «Stack» or «Heap.» Stack memory is a repository of store references to «Heap» elements and types of primitive value; Heap contains dynamic objects referenced by variables in the stack. As a result, under default settings, a heap can occupy much more space in memory than a stack. However, these settings can be changed manually by setting the heap size below the stack value after increasing it. Stack has the principle (enters last, leaves first). Whenever a new method is called with reference to an element or a primitive value, a block of memory is released at the top of the stack: LIFO The heap, unlike the stack, is not cleaned by itself. So, the system is in dire need of a garbage collector function. Without its presence, we can manage only the size of the heap: A reference to an object from a heap that may contain a stack variable becomes a suitable target over time for the garbage collector, depending on its type. And, when red-colored items appear in the heap memory, they can be assembled by the collector. Example of garbage items in memory: 2. Memory leak Java memory leak is a kind of error when GC leaves elements in the system that are not used. This may occur because of the inability to remove some garbage items that may be referenced in the stack. A typical example of the leak: This leak has a negative impact on the capacity to utilize the resources of the system and its overall productivity. If this problem is ignored, the system can completely exhaust data storage space, and end with an irreversible error, «Java Out Of Memory Error.» It’s better to use tools of memory management to optimize it. The most relevant of them: OpenView Operations (OVO) by HP; JMETER by Apache; IBM Tivoli by IBM; JProbe Profiler by TechRepublic. 3. Causes of memory leaks in Java Memory leaks in Java can occur due to unforeseen errors in the code, which keeps references to unwanted objects in the cloud. These links block GC functions. As a result, it’s not possible to clean the repository, which is not usefully used by these elements. Main causes of Java memory leaks: Unlimited caching; Overflow of files in one session; Excess of replacement operating system pages; Bugs in the system of users’ data; Inserting elements in a collection without deleting them; Non-reproducible ways of listening. Memory leak in Java and its types Various types of leaks are possible. Their differences are based on how they arise and what caused them. Most common types of leaks: 1. Excessive use of static variables The life cycle of static fields in Java usually corresponds to the application session time, without taking into account garbage collection with «ClassLoader» capabilities. When analyzing the heap of memory during command execution, we can observe an increase in memory between control points 1 and 2: But stopping method «populateList()» at the point 3, in VisualVM – heap repository remains untreated. But if you don’t take into account «static» in line 2, it will change the memory values: In this case, after manipulation with the method «populateList()», the heap memory is cleaned by the collector, as all references to objects are deactivated: 2. Availability of internal classes with reference to external To initialize static classes, you always need examples from external classes. Each non-static default class contains a hidden reference to the class in which it’s saved. If you use an internal class object – it will not collect by GC, even if you close an external class object. For example, take a class that contains a non-static value and has a reference to several volumetric elements. In this case, the creation of an internal class object has such statistical indicators: Banal change of the value of the internal or anonymous class to a static, the memory values change radically. This can occur as a result of the contents of the internal class of references to objects external, thus blocking the main function of GC. 3. Unclosed resources in the app Whenever we create a new connection or open a thread, the JVM always allocates space in memory for new threads or connections. Such connections may have session objects with a comprehensive database. If we leave such resources not closed, we risk allowing the storage to become blocked. This creates the risk that the garbage collector will not be able to detect and remove these objects. And if you ignore the maintenance of stable and correct closing of resources, they will fill up the memory, up to the appearance of an error «Java Out Of Memory Error.» 4. Using finalize() methods In the scheme, when we have a class with a redefined finalize() method, its object may not collect GC in time but will queue for deletion. In addition, incorrectly overridden code in finalize() and its speed mismatch to garbage collector can cause an error «OutOfMemoryError.» For example, take a class with its redefined method finalize() and for which time is needed. If you have a large number of elements collected by GC, such a score of the heap is formed: If you simply remove a redefined finalize(), you can get this value: 5. Using interned strings In the Java system version 6, it was necessary to be careful about the use of volumetric strings. Version 7 moved the change of the string pool that moved to HeapSpace from PermGen. If you call a method «intern()» to read a large string – it is saved to a string pool in constant memory (PermGen). This method is stored in PermGen until the end of the session, which causes the application to run out of memory. An example of permanent memory is when reading a string of a file without its international: 6. ThreadLocals engagement ThreadLocal – a tool that creates stream security by closing the values of its variables. At the same time, all threads have a hidden link to the duplicate ThreadLocal variable, and save their copies instead of using the resource in all threads. This feature, besides its usefulness – has errors. They can affect leaks when misused. ThreadLocal variables must be collected by GC after deleting the thread that contains them. However, some system servers may not be able to use this feature right. This can occur because the server does not create a new thread for all requests but applies the entire thread pool. Pools in servers reuse threads, making them inaccessible to the garbage collector and taking up memory. 7. Implementing incorrect equals() and hashCode() In creating new classes, we can often encounter the override error of equals() and hashCode() methods. Such methods are commonly used by HashSet and HashMap, and if they contain override errors, this can cause excessive memory consumption. For example, you can use the ORM Hibernate, which takes the equals() and hashCode() methods to process items and store them in the cache. In the event that these methods are not overridden, Hibernate will not analyze the items, and the cache will fill their copies, causing a memory leak. Symptoms and Java memory leak detection 1. Memory leak symptoms There are several suspicious points that may indicate a leak: persistent and unforeseen system failures; unstable application functionality support; an error «Java.lang.OutOfMemoryError» occurred during a long session; connection object removal by the system; significant reduction in overall system performance. 2. How to detect Java memory leak In order to detect a leak, several tools and techniques are required, as well as a combination of them. There is a list of the trusted methods: : tools that track files and items that take up space in the repository. They are able to detect leaks and analyze the correct distribution of the elements used in the system. Also, estimate the time taken to process away. 2.1. Memory profilers The most common tools for profiling Java memory: JProfiler by EJ-Technologies; Java VisualVM by Oracle Corporation; YourKit by Yourkit GmbH. This is a tool for creating instant and timely snapshots of the heap in the Java memory store. Such images are needed to control the number of objects used and their weight in memory. Also, the tool tracks the number of elements created by the system and what may affect the leak. 2.2. Engagement heap dump: This tool is able to demonstrate changes to heap configuration in the repository and GC. It provides the most accurate features and performance of the application. And optimizes the collector’s performance by identifying suitable elements in the heap, its alternative methods, and JVM parameters. 2.3. Activating the verbose garbage collection log. For example, activate a verbose collection in-app using JVM startup methods: «-XX: +UseSerialGC -Xms1024m -Xmx1024m -verbose:gc» The «-verbose:gc» argument activates the recording of collection information. The log, by default, is saved to stdout and produces rows for all GC. Also specify sequential GC, using the «-XX: +UseSerialGC» argument, and set the heap sizes. This can help to detect a leak in a timely manner and configure application health metrics. Examples of GC log activation can be found on the GitHub service. How to fix memory leaks. Error correction methods In order to address this problem, it is necessary first to consider the reason why it has arisen. Therefore, it is necessary to identify the type of leak and solve the problem based on its variety. For each type, there is a different scheme how to fix memory errors in Java: 1. How to resolve a memory error? 1.1. When using static variables: Minimize the use of static fields in the system. In this case, instead of urgent loading of objects – you can use the «lazy» one. 1.2. If there are internal classes, with reference to external: You can convert an internal class to a static class if it does not need external class elements. 1.3. If the resources of the application are not closed: «finally» should be activated in a timely manner to complete the use of resources. 1.4. When using finalize() methods: Should reduce to zero any work with finalists. 1.5. When using interned strings Try to upgrade the Java app to the latest version. This can work by moving the pool of strings to the free place of the heap, after the 6th version. And to avoid the error «Out Of Memory Error», in work with bulk strings you can extend the «PermGen» size. 1.6. When using ThreadLocals Stable cleaning of ThreadLocal variables when they are not needed. ThreadLocal that has the remove() property – removes variable values for all current threads. It must be closed in the «finally» block to ensure that it is deactivated. 1.7. When implementing incorrect equals() and hashCode() When creating new elements, it is always optimal to override the equals() and hashCode() path. 2. Other ways to eliminate memory leaks You can also apply other methods to combat memory leaks when there is no clear understanding of the reason for their occurrence. 2.1. Using benchmarking: For a detailed analysis of code performance in Java, you can use its testing with benchmarking. In this way, it’s easy to assess the productivity of different ways of performing tasks by comparing their effectiveness. This gives preference to best practices, which will avoid unnecessary memory consumption. 2.2. Reference object app: The option of applying special reference objects in Java instead of direct references to elements in the application. The use of such links contained in the package «java.lang.ref» allows the simple removal of superfluous objects by the garbage collector. 2.3. Code review: Banal, but no less effective in some cases method – checking the code. Sometimes it helps one time to eliminate memory leaks. 2.4. Enabling profiling: By using the above method, you can discover storage areas that can be usefully used to store application resources. 2.5. Verbose garbage collection: Another way mentioned earlier. Including this mode, we can closely monitor the work of GC. Compliance with such rules of storage space and its rational use can help eliminate situations that create Java surges back up programming and Java surges back up language. This is the basis for the normal operation of the system as a whole. 3. Error removing tools: Quest Foglight for Java (for heap monitoring); MAT (for heap dump analysis). As the expert on working with Java reports, on the portal – a quote: Habr “ After finding and fixing the leak, it will not be superfluous to go through all the steps again, analyze the memory, and report to the Memory Analyzer to make sure the fix helped.“ Conclusion So, analyzing the question – what is a memory leak in Java, it becomes clear that it affects the system as a disease that strikes it and worsens its overall condition. Without treatment, it can lead to irreparable consequences. And since this is a very serious problem, though not visible at first sight – it needs to be identified and addressed in a timely manner. The problem is not easily remedied if it is detected long after the first signs of its existence have emerged. There is no «magic pill» that will fix the leak once, even when involving the work of a highly qualified specialist in Java programming. But if working with the app consistently involved the use of proven methods, profiling, tracking, Java memory management, and code verification – the appearance of such problems can be reduced to zero. And have You ever encountered memory leaks in Java? Share your experience of identifying the type of problem and Your method of solving it in the comments! Also published . here

How to Detect and Avoid Memory Leak in Java

What Really Influences A Product Managers’ Job Satisfaction [Deep Dive]

Lauren has maybe half of the skills listed within an attractive job posting. But she’s not going to let that stop her from talking her way into a 6-figure annual salary. Believe it or not, that little story is absolutely true. Lauren’s gift of gab bought her a position she was very underqualified for. It’s time to end these costly, totally unnecessary shenanigans. is blending AI with blockchain tech to bring some much-needed honesty and transparency to any company’s hiring process. TalentSnap So, what is TalentSnap and what problems does the project want to solve? I’ll tell you in a bit. But first, go ahead and read the next section. It won’t be as painful as filling out paperwork during onboarding for a new job but it’s still kinda important… Disclaimer : This is not investment or financial advice. I’m not a financial expert by any stretch of the imagination. Most information within this article is speculative and merely my own personal opinion. Always conduct your own research before contributing to any startup projects. Always remember that what you do with your money is your decision to make. And if that decision proves too difficult for you alone, seek guidance from a financial professional. I may or may not receive a small allocation of tokens for creating this content. That said, I will do my best to remain unbiased and fair. I try to avoid all FOMO and FUD and never wish to impart those emotions on my fellow crypto-heads. Questionable Practices If Lauren had been upfront about her actual skills, she never would’ve made it to the 2nd round of interviews. Maybe she figured she’d just learn the role as she went along. And maybe, in Laurens eyes, at least, that’s just fine. But I guarantee her employer views the situation differently. If you’re hiring for a $100K+ job, you’re looking for top talent, not a glorified intern. Let’s face it, if you want a new gig, you may be willing to bend the truth a bit. But if you spin those tales a little too long you can get yourself in trouble. really “Wait a minute. Are you saying that Lauren isn’t really a certified Level 18 Excel Sorceress? I have her resume right here. She lists her Excel skills as ‘otherworldly’ and ‘astonishing.’ But you’re telling me otherwise? Let’s go have a little chat with her…” Uh oh, Lauren, your days at the company may be numbered… Everyone’s entitled to a little break after doing some work. After all that reading, let’s take one now. Here’s a superquick video that’ll get you up to speed with the TalentSnap project’s aspirations: Sorry, Lauren, you’ll have to apply offchain It’s way too easy for deception to creep into the hiring process. Similar to dating, people being interviewed tend to project an image of themselves that’s not exactly reality. And once an employee has inked a deal, it may be very difficult and costly to get rid of them. This is especially true in certain European countries where the laws are heavier on the employee’s side of the scale. People can get all up in your business — like a wedgie — and become very difficult to dislodge. As a hiring manager, you want to make sure you’re taking a risk on the right candidate. Sadly, stories like Lauren’s certainly aren’t isolated. I have another one for you. And, once again, it’s true. To protect the identity of the guys who have absolutely no idea they’re getting thrown under a digital bus, I’ll change their names just a little… Mad Fraudz Once upon a time, I worked for a consumer electronics company that eventually went bankrupt due to mismanagement. The organization’s name? Well, their IP was recently purchased on the cheap and they’re now back in business under new ownership. My lips are sealed. But I will drop some hints for you. Their name rhymes with sad hats. They earned themselves a derogatory entry on urbandictionary.com. Nearly everything they created was named after a nonsensical acronym. And, they were the inspiration for from CollegeHumor. this video You see, the root of the major hiring snafu I’m about to explain was the boss, himself a total fraud. The King of Narcissism himself — Ronny — claimed to be an ‘advertising man’ with experience at Coca-Cola. But 99% of his subordinates believed his experience there was actually in the mailroom rather than the boardroom. Not sure who’s bright idea it was to give this head of the department a say in the hiring process for as well as , but there you go. Fraud begets fraud. severely tech-challenged Creative IT web development We already had a Jr. developer — Al — working for us but since we were expanding our multi-brand web presence, we began looking for a Sr. dev. Along came Bessie Bueno. The buzzwords must have been flying during the interview because Bessie was practically worthless. I sat within view of Bessie’s monitor and a typical day was 5% work and 95% YouTube videos. And when Bessie got stuck on a project — unable to conquer a task that should be a snap for a Sr. developer — who do you think Bessie would turn to? That’s right, Al, the Jr. developer. I really thought Al was going to quit the day he discovered Bessie’s actual job title. I could see the rage of injustice and disbelief in his eyes. Someone who’s making a solid 25% more than you shouldn’t need to visit your desk asking questions about things they should’ve known before ever getting hired! Now, this ridiculous and totally inappropriate work scenario could’ve been prevented if Bessie had to possession of job-specific skills. Had Ronny been able to easily check, he may have gone with a different candidate. prove Verifiable skills are at the heart of the TalentSnap project. And the team is combining AI with blockchain to make the verification process quick and easy. TalentSnap’s MVP is currently up and running Ensuring a Good Fit Hiring metrics go far beyond relevant skills and experience. Every workspace has a distinct culture and if you won’t be comfortable somewhere you’d best keep the job hunt going. Your personality type should ideally match your role as well as the environment you work within. If you don’t play nicely with others, you’ll have a hard time fitting into any organization. Which makes personal interviews so crucial. They’re not always in-person but you must spend time talking to someone — on Skype or a similar service, at a minimum — getting a feel for their personality before giving them a keycard to the building. But before you ask a candidate to visit your office — after chatting with them on the phone to verify they’re not a complete freakshow— there’s a heap of data for you to wade through. hopefully And that’s where TalentSnap comes in. Before you reach out to a job seeker, you’ll have a wealth of role-relevant info at your fingertips. The team has created an app — now live with a full dashboard and Chrome extension — to trim the fat and smarten your hiring efforts. View a candidate’s details & LinkedIn profile, email them, add them to your favorites, or leave yourself a note FitScore Now we’re getting to the interesting part. Plenty of hiring sites have various filters like education, skills, and years of experience. But few if any of them take personality type into consideration. And none of those sites can claim AI or machine learning as a skill on its resume. The TalentSnap service analyzes dozens of hiring metrics to create a unique FitScore — ranging from 1 to 100 — used for linking employers to job hunters. And as candidates and employers create data within the TalentSnap platform, the service will only get better with its matchmaking. You see, AI needs information in order to evolve. And with 100s of millions of datapoints generated by the global job market every day, TalentSnap’s algorithms have no shortage of food for thought. You can test the right now if you’d like. Just make sure you come back and finish what you started here. FitScore MVP Hiring Automation The TalentSnap project will evolve over time. The goal is to create a platform that becomes a global benchmark for the hiring process. Elevating the FitScore measurement to industry-standard status will require the team to branch-out their Research & Development efforts. Here are a few subjects the project plans to delve into… Federated Learning Don’t worry, you won’t find any evil characters here. Star Wars Federated learning is a setting within the realm of machine learning. The aim is to train a centralized model using training data spread among a large, distributed userbase. In TalentSnap’s case, they’ll use this method to smarten the platform’s AI. As users generate data on the network, it’s sent to a smart contract. And every time a contract makes computations, it gets a little better at interpreting incoming data. Which reinforces my point above: Every FitScore generated by the platform will be a little smarter than the last. Homomorphic Encryption This technique is how the platform will process encrypted data without decrypting it first. Homomorphic encryption will allow everyone on the network to safely share their personal data. Users of the TalentSnap service won’t need to subject their data to the prying eyes of info-harvesting companies aiming to turn a profit from what’s not rightfully theirs. It’s important to note that homomorphic encryption and federated learning aren’t scheduled for implementation until 2020. Proof of Identity Are you who you say you are? The blockchain knows. In yet another effort to secure the privacy of users’ identities, TalentSnap plans to integrate existing blockchain tech into their upcoming platform. Civic, for example, is a blockchain project that allows users to create a digital ID that they can use all throughout the cryptosphere. BTW, if you’re active with ICOs and tired of KYC, give Civic a try. The service is convenient and easy to use. Proof of Identity will assure employers that applicants are legitimate candidates with real profiles on the platform. TSC Utility Token TalentSnap’s native token — TSC — is an ERC20. The team has stated that should the Ethereum network fail to solve its current scalability issues, they may jump ship to another blockchain or build one of their own. The TSC token’s main purpose is as a payment mechanism within the platform. TSC tokens are deducted from a user’s balance every time a FitScore is generated. Good news for candidates — there’s no deduction unless the FitScore match is 90 and above. In addition, candidates and employers can be compensated with TSC tokens should they choose to share their data with third-party companies connected to the TalentSnap platform. Final thoughts… Automating the hiring process is a long road. Take a look at the TalentSnap project’s roadmap and you’ll see a milestone that’s much farther away than what most projects display. 2035 — the team’s projected target for hiring — may seem like it’s light-years away. And way back in 2000, waiting for 2020 seemed like an eternity, too. Yet it’s right around the corner. autonomous I think a long-term approach shows the team is grounded in reality. I prefer projects to take their time and do things right as opposed to rushing to hit self-imposed milestones. Although the AI industry is growing rapidly, there’s still of progress that needs to occur before we start seeing the technology integrated into our everyday lives. a lot Keep the project’s plan for slow and steady growth in mind if you plan to contribute. The project’s tech is 100% reliant upon data. They’ll need terabyte after terabyte before AI becomes smart enough to improve entire industries. As TalentSnap begins to accumulate massive amounts of data to feed the platform’s info-hungry algorithms, their service will improve. And tokenizing the data we already share — for free — with social hiring platforms is making the most of what blockchain tech has to offer. Simplification of the hiring process also brings cost- and time-savings for all parties. As you know, finding a job or a strong candidate can be a long and tedious game of waiting. Companies can cut right through the smoke and mirrors and only deal with people who truly seem like a good fit. And candidates will become empowered to apply for positions that closely match their skill set. Once the platform is fully operational and FitScores become highly reliable indicators of a match between employers and candidates, companies will realize an uptick in the quality of new hires. When that day arrives — hopefully within the next couple of years — companies will be able to keep the likes of Lauren and Ronny and Bessie out of their organizations. And then, everyone except the fraudsters will win the hiring game. DYOR It’s always a good idea to form your own opinion of any project you may want to participate in. Here’s where you can dive a little deeper into TalentSnap: TalentSnap Website TalentSnap Whitepaper Get Social Bitcointalk Facebook LinkedIn Reddit Telegram Twitter YouTube By the way… If you like what you see here and need help getting your crypto message to the masses, I’d love to hear about your project. Feel free to reach out to me here: blockchainauthor at Gmail

TalentSnap ICO Review: How Blockchain Tech Safely Automates the Hiring Process

One common question I get asked is: “ Should I learn to code if I want to be a tech entrepreneur?” Having been a software engineer who has built and scale products from nothing, I’ve found it immensely useful to know how to code as I transitioned to being a tech entrepreneur myself for the following reasons: Having conducted 100+ interviews of technical talent from interns to CTOs, I am capable of conducting a phone screen, and technical interview to gauge people’s level accurately. First, it helps me to vet talent. and identify when people are wasting time. Second, I can call BS on complicated solutions, I can also empathize when things take longer or it’s hard to find a solution. Third, while I can call BS, like taking the time to test the an application, paying down tech debt, or setting up an onboarding process for additional hires. Fourth, people find it helpful that they don’t need to explain why doing something is valuable once people know that I am capable of building. Fifth, funnily enough there is a level of respect I get Is it ever too late to learn how to code? If you didn’t make the choice to go to a 4-year college and major in engineering, it’s not too late! And with the growing number of coding bootcamps and online courses, you can develop a working proficiency within 3–6 months. Note that it doesn’t mean you’ll instantly be hired by the likes of Google or Facebook, but you can start to put together a working prototype. One of my previous students did just that! If you’re thinking about learning how to code, here are some other things you need to think about before you make a decision: What is the tradeoff for learning to code? It can take you anywhere from 3 months and few hundred dollars to $25,000+ to learn to code. Once that’s done you can start to build your prototype, but could you have instead invested those three months into finding someone to build it for you? And are there other skills you could be honing like in sales and marketing? After all, the competition in SaaS products is rising, and the real challenge going forward is attracting and retaining customers to build a sustainable business or a unicorn, should you choose to. Hence, tech entrepreneurs are being put to the test when it comes to customer acquisition more so than the complexity of building a product. Learning to code isn’t enough. Building a prototype is a necessary but insufficient condition. In the early days of your startup, you also need to understand how to manage a product, which includes: understanding customer needs and being able to translate them into product features and benefits being able to make business decisions for building one feature versus another setting up metrics and analytics to measuring the usage of features being able to communicate priorities to other teammates managing the needs of other people on your team such as designers and engineers putting a process in place and having it evolve as your team and your product scale up and down If your goal is to become a tech entrepreneur, then you will be the first product manager, because you are the one with the domain expertise. You understand the customer, the market, the competition, and what needs to get built and why. While some software engineers are capable of managing product, it’s a lot to ask, and many prefer to stay focused and build. Even if you hire someone to be a product manager, you need to be able to communicate the business reasons behind why someone should or shouldn’t be built, until they can develop an understanding of the problem space for themselves and an intuition around making decisions. What you maybe looking for is literacy. Having a high-level understanding of how code works, how systems like servers, databases, and mobile devices interact, jargon like APIs, new technology frameworks and architecture like Docker, and the process behind creating a product is a worthwhile goal to have. Your depth of understanding depends on the type of product you are building. If your goal is to build infrastructure products like , then you better having working knowledge, and team up with a CTO who knows the ins and outs of the technology! Twilio But if your goal is to develop a more business or consumer oriented product, then having a high level understanding is fine. Of course, as an outsider, it’s hard to gauge the technical depth of a product. So at the end of the day, it would be prudent to enlist a technical advisor early on to help you talk through some of these issues as they arise. If you have never built a software product before, then I highly recommend taking the time to attend hackathons, , or even better joining someone else’s startup. Even as a software engineer, I found it immensely helpful to be on the ground floor of a startup. working on a side project to learn the process Sure you can read books like , , , and of course, my personal favorite ;) But nothing beats hands on learning! Sprint Lean Startup Mental Models How To Transform Your Ideas Into Software Products Taking 1–2 years or more can be a valuable experience, and if you’re still not convinced, check out this series I put together on . Why You Should Consider Being An Early Stage Startup Employee This post might have brought up, even more, questions like: how do you find and vet a technical advisor, how can you contribute to an early stage startup if you don’t know how to code, and more. Don’t worry I’ll tackle those in future posts! Finally, knowing to code isn’t a must. , and . Some people opt out of it altogether knowing to code doesn’t guarantee success in tech Now I want to know if you’re a tech entrepreneur, did you decide to go for it and learn to code or not? How did you make the decision? Let me know in the comments below! Enjoyed this post and want more? Help others enjoy it too by hitting the ♡ below! And check out additional videos I’ve created related to this topic: How Non-Technical Founders Can Bring A Product To Market How To Change Careers Later In Life And Transition Into A Technical

Should I learn to code if I want to be a tech entrepreneur?

Source: Shutterstock Over the years, Chennai has grown to become the in India. SaaS hub But every time, when someone asked about the list of SaaS Companies in Chennai, there was no listing available. So here is a list of all the SaaS companies in Chennai in Alphabetical Order. Disclaimer: I work at Freshworks for Freshsales CRM but this list was put together with an intention to help the SaaS Community in Chennai. Opinions are my own and not the views of my employer. Animaker Animaker is a cloud-based video making app used by over 1.5 million users from 180+ countries. With Animaker in your arsenal, you can create explainer videos, social media videos, vertical videos & video infographics to meet growing demands of video in marketing, education & content space. , Founders: Srinivasa Raghavan Loganathan Kodiyarasu 2015 Founded in: Bootstrapped Funding raised: Nil Investors: ~60 Team Size: Chargebee Chargebee is a recurring billing platform for subscription based SaaS and E-commerce businesses. It allows you to automate payment collection, invoicing, email notifications and customer management, by integrating with leading payment gateways. , , Thiyagu, Founders: Krish Subramaniam Rajaraman Santhanam Saravanan KP 2011 Founded in: 24.2 Million USD Funding Raised: Accel Partners, Tiger Global, Insight Venture Partners Investors: 120+ Team Size: CloudCherry CloudCherry is an Experience Management platform that is disrupting the way organizations listen to the Voice of Customer. Through CloudCherry’s flexible, customizable, self-serve solution, businesses today can be present at every step of today’s complex customer journeys, and listen to customers through a variety of ways. Nagendra CL, Prem K Viswanath, Sriram Subramanian, Vijay Lakshmanan, Founders: Vinod Muthukrishnan 2014 Founded in: 7 Million USD Funding Raised: Cisco Investments, Vertex Ventures, IDG Ventures, Chennai Angels Investors: ~80 Team Size: CustomerLabs CustomerLabs is a digital marketing infrastructure platform to manage marketing operations. It lets businesses to track & sync the customer data across platforms without writing any code to various analytics, ads and marketing platforms. , Founders: Asim Ali Vishnu Vankayala 2013 Founded in: 50,000 USD Funding Raised: Times Internet Investors: <10 Team Size: Facilio IoT and ML-driven applications designed to unify your building performance in real-time. Facilio is an all-in-one app suite that unifies facilities and sustainability management across portfolio of large buildings. It helps bring people, machines and buildings come together to work in sync and create beautiful facilities experience — so that there are no more siloed data, teams lagging behind in maintenance or inefficient sustainability performance. , and Founders: Prabhu Ramachandran Rajavel Subramanian Yogendrababu Venkatapathy 2017 Founded in: 1.5 Million USD Funding Raised: Accel Partners Investors: ~24 Team Size: FourKites FourKites is the real-time supply chain visibility platform that Fortune 500 companies and 3PLs trust to track shipment location and temperature and proactively manage exceptions. Using a proprietary predictive algorithm to calculate shipment arrival times, FourKites enables customers to lower their operating costs, improve on-time performance, and strengthen their end-customer relationships. Founders: Mathew Elenjickal 2014 Founded in: 51.5 Million USD Funding Raised: HBS Angels Chicago, Hyde Park Angels, Hyde Park Venture Partners, Otter, Bain Capital Ventures, August Capital Investors: ~160 Team Size: Freshworks (previously Freshdesk) Freshworks creates solutions for support and sales, to engage with and delight both customers and employees. Freshdesk, a Cloud-based customer-support software firm, has been re-branded as Freshworks, which will be the parent company bringing together its suite of business software products — Freshdesk, Freshservice, Freshsales, Freshcaller, Freshchat, Freshmarketer and Freshteam. , Founders: Girish Mathrubootham Shan Krishnasamy 2010 Founded in: 149 Million USD Funding Raised: Accel Partners, Tiger Global Management, CapitalG, Sequoia Capital Investors: 1200+ Team Size: HappyFox HappyFox is a help desk ticketing system that is hosted on cloud, supporting multiple customer support channels like email, voice and live chat. HappyFox is a global help desk being rendered in 35 languages. With differentiation coming from its focus on user experience and simplicity, HappyFox is used by thousands of successful companies of all sizes. Founders: Shalin Jain 2011 Founded in: Bootstrapped Funding Raised: Nil Investors: ~20 Team Size: HippoVideo Hippo Video is a simple and quick video recording and sharing software for the busiest people. You can easily create, edit, store, share and track videos. The paid version lets you record for an unlimited period of time and can be exported to MP4 or stored/uploaded to Google Drive, YouTube, Vimeo and Google Classroom. Hippo Video, easily create or record videos for free at the start of a button. , , Founders: Karthi Mariappan S Nilamchand Jain Srinivasan Krishnan 2016 Founded in: Undisclosed Amount — Seed Round Funding Raised: Kae Capital Investors: <10 Team Size: Indix Indix has built a Products Platform that delivers product information and commerce-ready services for a fraction of the cost of alternatives. Indix combines AI with the largest collection of product data available: price, availability, and seller information, along with code-based identifiers and attributes. Businesses use the Indix Platform to improve the size and quality of their digital product catalog and develop innovative ways to buy and sell products. , , , Founders: Rajesh Muppalla Sanjay Parthasarathy Satya Kaliki Sridhar Venkatesh 2010 Founded in: 30.9 Million USD Funding Raised: Avalon Ventures, Anthemis Group, NGP Capital, Nexus Venture Partners Investors: ~70 Team Size: KiSSFLOW KiSSFLOW is a work automation platform designed for small and mid-sized businesses to automate their internal workflows and business processes. 2013 Founded in: Founders: Suresh Sambandam 1 Million USD Funding Raised: Undisclosed Investors: **Team Size: ~**150 Klenty Klenty is a Software Product that helps B2B Sales representatives to Prospect, Outreach, Follow-up at Scale and thereby achieve higher Sales Process Productivity & increase sales/meeting conversions with reduced manual efforts. Using Klenty, you can understand who is more interested in your product/services and get faster responses from the ideal prospects. You can create more sales closure meetings & opportunities thereby making your sales process smooth & efficient. , Founders: Praveen Kumar Vengat Krishnaraj 2015 Founded in: Nil Funding Raised: Nil Investors: ~20 Team Size: Octoze Octoze’s flagship product is a SaaS based platform to help schools, colleges and universities run more efficiently . It offers administrators, teaching staff, parents and students engage better with each other and drive better results for individuals and institutions. This combines learning management, ERP, reporting in one easy to use cloud based platform. , , Mouli Kumar Founders: Swaminathan Arunachalam Venkateshwara Rao 2014 Founded in: Bootstrapped Funding Raised: Nil Investors: ~40 Team Size: Paperflite Paperflite is a mobile-first sales enablement platform. It helps curate content from marketing and lines up the most appropriate assets in real-time to your sales teams, enabling them deliver the perfect pitch to your prospects. Paperflite is an all-new-yet-instantly-familiar way to share, track and organize all your content across every channel. Paperflite gives you better quality leads and empowers you to crush your targets using your existing content in a whole new way. 2016 Founded in: , , Founders: Vinoth Kumar Anant Bhat Yega Kumarappan 400,000 USD Funding Raised: Chennai Angels Investors: ~20 Team Size: Pipecandy PipeCandy uses data science techniques to discover the right prospects for B2B sales reps and helps them segment the prospects based on nuances specific to their respective industries. , and Founders: Ashwin Ramasamy Shrikanth Jagannathan Murali Vivekanandan 2016 Founded in: 1.1 Million USD Funding Raised: Indian Angel Network, IDG Ventures, Axilor Ventures and Emergent Ventures Investors: ~30 Team Size: Ramco Systems Ramco Systems is a cloud enterprise software company focused on providing multi-tenanted enterprise software to corporates in the area of HCM and Payroll, ERP and M&E MRO for Defence and Civil Aviation, with Mobile first philosophy and In-memory based Planning and Optimization engine. P R Venketrama Raja Founder: 1999 Founded in: 52 Million USD (Post-IPO Equity) Funding Raised: Axis Mutual Fund, Goldman Sachs, HDFC Holdings, Amansa Holdings, J O Hambro Capital Investors: ~3000 Team Size: ReferralYogi ReferralYogi is a SaaS based Customer Advocacy platform that promises sustainable revenue growth for businesses. It helps them identify their promoters, encourage referrals, manage references & create social buzz for their brands. Gandhi Gopinath, Sriram Venkatachalam Founders: 2017 Founded in: Nil Funding Raised: Nil Investors: <10 Team Size: Tagalys Create, curate & launch conversion optimized e-Commerce product listing pages with no engineering support Founded in: 2015 , Founders: Antony Kattukaran Palaniappan Chellappan Nil Funding Raised: Nil Investors: <10 Team Size: Unmetric Unmetric is a social media intelligence platform focused on brands. It is trusted by leading brands to understand their competitor’s efforts, uncover insights based on data and unlock new social strategies. Unmetric combines the power of people and technology to track and analyze the online behavior of over 30,000 brands segmented across 30 sectors for all major social channels. , , Founders: Joe Varghese Kumar Krishnasami Lakshmanan (Lux) Narayan 2011 Founded in: 8.7 Million USD Funding Raised: Nexus Venture Partners, JAFCO Asia Investors: : ~85 Team Size Xobin Xobin’s suite of recruitment softwares cuts down 70% of your recruitment cost and helps you double up the quality of hires. Source,assess and onboard talent into the your team with Xobin’s intelligent recruitment software solutions. , Founders: Amrit Acharya Guruprakash Sivabalan 2016 Founded in: Undisclosed Amount (Seed Round) Funding Raised: Axilor Ventures Investors: : 11 Team Size Zoho Zoho offers a suite of business, collaboration, and productivity applications. The company offers over 30 online applications from CRM to mail, office suite, project management, invoicing, email marketing, social media management, and more. The suite comprises Zoho Writer, Zoho CRM, Zoho Sheet, Zoho Show, Zoho Projects, Zoho Meeting, Zoho Creator, Zoho Docs, Zoho Invoice, Zoho People, Zoho Mail, Zoho Assist, Zoho Reports, Zoho Recruit, Zoho Support, Zoho Books, Zoho Bug Tracker, Zoho Campaigns, Zoho Sites, Zoho Connect, and more. 1996 Founded in: Sridhar Vembu and Tony G. Thomas Founders: Bootstrapped Funding Raised: Nil Investors: 5500+ Team Size: Connect with me on Linkedin Disclaimer: I work at Freshworks for Freshsales CRM but this list was put together with an intention to help the SaaS Chennai Community. Opinions are my own and not the views of my employer. If I have missed out any of the SaaS companies in Chennai or if you would like to modify any information for any company, drop in a comment and will do the necessary update.

List of SaaS Companies in Chennai

A look at 3rd-party AI tools and services, uncovering easy wins, and where to invest in an automated world Artificial Intelligence has become a bit of a divisive topic. While some industries have oriented their entire business around the technology, others are struggling to develop a strategy. The good news is that adopting AI doesn’t need to be this . dramatic An entire ecosystem of applications and services have cropped up to bridge the gap between the business processes of today and the intelligent ones of tomorrow. Adopting AI-enabled solutions can help companies streamline operations and eliminate repetitive tasks. From growing sales with intelligent customer engagement to reducing opex with automated IT operations, there are new tools available to support every department within a business. Here are some tools you can integrate today, at whatever stage or opinion you have on AI. Cross-Functional Solutions Where there is data, there is an opportunity for intelligent systems (AI) — to do something. A number of companies have built cross-functional solutions to meet the data opportunity across the board. The drawback is that these solutions do require collaboration (not plug and play) to develop models that are best suited for your use case, but the impact can be dramatic. : API for human automation. Apres : Builds augmented intelligence software for healthcare, commerce and financial markets. CognitiveScale : Cloud software that transforms handwritten paper forms into digital data. Captricity : Simplifies and accelerates your ability to use AI to unlock the value in your data. Machinify Natural Language Processing (NLP) technology for Splunk enables you to ask “plain English” queries of your machine data. Insight Engines : Maximizing the impact of data through advanced natural language generation (Advanced NLG) for the enterprise. Narrative Science : Human Resources HR is operationally intensive, rigidly structured and often slow to adopt new technologies. Recruiters alone spend over 60% of their time reading through resumes — time better spent with candidates. HR presents a clear opportunity for AI to improve the efficiency of the role: Actively pursue all credible candidates in the market at any given time, all the time — matched against fit criteria tailored toward your business. Optimized Recruiting: The opportunity to deal with employees as people, rather than functions and creating tailored milestones and objectives. Personalized Career Development: The ability to analyze messaging, both in the market and internally, and adjusting accordingly. Employee Sentiment Analysis: Packages tailored to the implicit needs of your employees, such as fitness trackers and programs for health insurance. Tailored Benefits: Uses machine learning to help organizations hire smarter by analyzing a person’s publicly available online presence. FAMA : Your team’s A.I. recruiter. Mya : AI-based anonymous career development platform allowing users to both know their worth and get concrete offers in real time (previously Workey). Gloat : AI powered employee retention tool. UnderstandBetter : Reduce corporate travel spend by rewarding employees for saving. Rocketrip : Cloud HR service that provides an integrated and video enabled digital platform for all recruitment needs. Peoplise : Talent Relationship Marketing (TRM) cloud platform connecting people to their ideal job. Phenom People : Predictive hiring platform that informs you who to hire before you meet them Koru : Helps businesses better understand their employees. Humanyze : Customer Service Advances in Natural Language Processing (NLP) have created new opportunities for companies to engage with customers. From chatbots to voice assistants, AI can now simulate human interaction, triage the required service and route the solution accordingly. This has streamlined customer service centers to personalize customer service and enable more efficient interactions between vendors and consumers. Service personalized to the tune of all available data on the client and intelligent virtual assistants as an interface layer. Differentiated customer experience: Streamline inquiry capture and resolution process, proactive support, and account/client management. Smarter operations: Data analysis on a continuous basis — uncovering new revenue streams and decrease churn. Intelligent insights: Brings practical applications of deep learning & artificial intelligence to customer service operations of large companies. Digital Genius : Supplies artificial intelligence to augment and replace live chat customer support agents at eCommerce companies. Eloquent Labs : Automates customer care conversations. Kylie.ai : Virtual assistant solutions. Interactions : Offers artificial intelligence powered customer service. AlphaBlues : utomated customer support. True AI : A Advanced AI customer service across multiple channels including chat, email, SMS, Facebook Messenger and Twitter. Hello Vera : AI for customer service. HelpScout : Social media customer service. Sparkcentral : AI voice platform for connected devices. Snips : Sales & Marketing SAAS has entrenched the value of sales and marketing data over the last decade, making historic records commonplace and an ideal for applying AI. Conversion-focused tools promise to make a significant impact on the top and bottom line: Automated outbound strategy targeting highest value leads, and delivering qualified prospects at the right time. Optimized account development: AI systems to support the salesforce with relevant insights, market movement and continuous training/coaching. Improved salesforce productivity: Personalized customer engagement, predictive marketing and messaging. Intelligent customer engagement: AI generated content and distribution, predictive marketing to increase retention, real-time competitive intelligence. Automated marketing: People-based intelligence through reorganizing the information on the web based on the people who use it. Node : AI powered sales intelligence to build relationships with your buyers and grow your sales. Nudge : AI software for marketing and sales enablement. Conversica : Records, transcribes, and analyzes sales conversations in real-time, highlighting important moments and revealing why you win and lose deals. Chorus : Provides users with a platform to maximize sales leads with analytics programs and innovative organization tools. FunnelBeam : Helps inside sales reps win more with an AI that learns from how your best reps communicate effectively with their customers. Nitrio : AI-powered analyst for marketers. Aiden : Automatically capture all sales activity to drive intelligent sales management and marketing accountability. People.ai : Predictive Marketing Platform for enterprise enables insight-driven customer engagement to win and retain customers. Mintigo : shows you the best way to communicate with any prospect, customer, or coworker based on their unique personality. Crystal : Virtual assistant that schedules your meetings. Clara : Marketing automation AI that delivers a personalized experience to each customer. Retention Science : AI generated language that resonates the most with any audience, segment or individual. Persado : AI powered marketing insights to create compelling content. Unmetric : Social strategy and analytics firm that provides Convey.AI semantic machine learning technology and Conversus App. Converseon : Legal Legal departments commit the majority of their resources to operational overhead — document parsing, research and discovery. Various AI tools have been developed to support these time-consuming tasks, often more effectively than their human counterparts. Augmenting existing legal teams with AI can provide an enormous benefit/ boost to productivity. AI assistant that provides rapid analysis and summarization of legal briefs. Legal research: AI able to identify relevant briefs and automatically generate next steps and other research tasks. Contract diligence: Documentation review and prioritization, automated story builder, instant translation. Discovery: Artificially intelligent attorney to help power through legal research. ROSS : Casetext’s CARA, automates key legal research tasks to analyze litigation documents, and uses that information to algorithmically query the law. Casetext : Platform for legal search, analytics and visualization. Ravel: Legal legal document review and discovery platform. Everlaw: Legal technology company providing research and analytics tools to turn unstructured case law into structured data. Judicata : Makes in-depth contract reviews accessible to everyone. LawGeex : IT Operations Increasingly complex IT operations are changing infrastructure attack surface area, continuously exposing organizations to new threat vectors. There is a real need for tools that offer the necessary intelligence and speed to keep up with the growing security threats companies face today. Beyond being able to take over manual tasks prone to human error, AI will be enable real-time threat detection and most importantly, prevent threats before they cause damage. Anomaly detection and prevention, real-time monitoring, autonomous remediation. Security: AI system that mimics how a user investigates, monitors, and troubleshoots events. Cognitive Insights: RPA tools to replace manual tasks and provide a real-time view of process workflows, and self-learning topology analysis. Streamlined Operations: Enable NLP bots that talk to a system to identify and resolve performance issues, monitor digital performance of IT infrastructure. Improved Customer Experience: : Root cause analysis software company acquired by Splunk. Rocana : Advanced monitoring platform for modern applications. SignalFx : Human-centered that helps people and machines work together to find clarity in chaos, and accelerate innovation. Moogsoft technology : AI-powered log analysis solution that monitors all your IT stack in real-time to predict issues before they affect the business and help you solve them faster. LoomSystems : Teaching machines to think, reason and communicate, acquired by Microsoft. Maluuba : Multi-turn, easy-to-use, and easy-to-author chatbot. Kitt.AI : AI-driven threat detection and prevention solution. Mistnet security : Enterprise immune system technology for cyber security. DarkTrace : Combines humans and machines into an AI system that detects cyber threats at scale and in real time. PatternEx Conclusion Building an AI muscle in-house is not the right strategy for every company (more here). That said, taking advantage of AI is necessary for all companies to keep up in any market. If the competition is running more efficiently, you are already a step behind. AI will affect every industry, everywhere. Whether or not you see this change happening today, it is important to start planning for it. Being ahead of the curve here is worth it. Disclosure: Juniper Networks is an investor in one of these companies.

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