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   Introduction of Kubernetes: Kubernetes are originally developed by google and are now an open-source project managed by Cloud Native Computing Foundation.  It is compatible with a number of different container technologies including Docker, rkt and CRI-O. Kubernetes is a system for managing containerized applications across a cluster of servers. It allows running multiple copies of an application on different servers while keeping in sync with each other. This ensures that our applications are always available and can handle traffic without any downtime.  Basics of Ku ..read more

                                                       Interview with Beststartup in India ..read more

Basics of APIs:  APIs proved the way for businesses to integrate with other systems. The businesses began building and leveraging APIs to allow the users to share and embed content into streams of social media interactions. Many Web and mobile apps that we use today are built on top of other APIs. APIs will perform and return data correctly, quickly, securely, and reliably.       API is a set of programming instructions and standards for accessing web-based software applications or services. The developers use APIs to get instructions to interact with services and c ..read more

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                High Availability of infrastructure design between on-premise and cloud can keep the IT operations up and running. But the people have been displaced from their usual workplace or lost to their usual devices or systems.  Disrupted partner relationships and supply chain can delay the time to market and weaken the competitive advantage. An inadequate response can harm the company's image and the confidence of the customers and investors. If the people can't do their job, the business can not function. A successful business conti ..read more

    Process of Building End to End Machine Learning PipeLine: In the Research environment, the data scientist investigates and develops the model that generates the business value. The typical ML pipeline involves gathering data from different data sources. It can be described as, In data analysis: We understand the data, the variables to use, how they have related to each other, regulations in the business, what we want to predict etc., We transform these data into various forms like creating or extracting the new feature.  In Feature Engineering:  We make the ..read more

Fundamentals of Agile Software Development:        Agile methods are based on an iterative and incremental development approach where the requirements and solutions evolve through collaboration between self-organizing and cross-functional teams. It promotes adaptive planning, evolutionary development, and delivery. The time-boxed iterative approach that encourages rapid and flexible response to change. The iterative development is the way of breaking down the large application into smaller chunks. Software is designed, developed and tested in repeated cycles. In an Incre ..read more

                 AI helps to create an innovative new product, boosting revenue, cutting costs, and improve efficiency. The challenges that many organizations face today are, to train deep learning technique and deploy into applications. Data science is a broad term that includes products, programming, problem-solving to extract information from data etc., Data analytics, Machine learning, and Deep learning are widely used for solving problems in data science. Data analytics extracting the insights from big data. Machine Learning is a statist ..read more