Reading Time: 13 minutes In today’s fast-paced business landscape, agility is not just a buzzword; it’s a necessity for survival and success. As markets shift, consumer behaviors evolve, and technological advancements accelerate, companies must constantly adapt to stay ahead. In this dynamic environment, having the right tools and strategies in place is crucial. One such tool that is revolutionizing the way businesses operate is Artificial Intelligence (AI). AI is no longer just a futuristic concept; it’s already deeply integrated into various aspects of business operations, serving as a power ..read more

Reading Time: 9 minutes In the ever-evolving landscape of software development, ensuring the quality and reliability of code is paramount while understanding the transformative Role of AI and ML in Software Coding. Traditional code review processes, while effective, often require significant time and effort. Enter Artificial Intelligence (AI) and Machine Learning (ML), revolutionizing the way developers approach code review by proactively identifying bugs and enhancing overall software quality. In this blog, we will explore how AI and ML technologies are reshaping the software development land ..read more

Reading Time: 5 minutes The core principle of Agile software development is “fast feedback.” This is grounded in the acknowledgment that software development is complex, and the best way to adapt to changing product dynamics is by planning in short iterations. Instead of planning in large phases and involving stakeholders at the end, the value is added by engaging stakeholders in frequent reviews of product increments and incorporating their feedback. This ensures early course correction is aligned with actual product needs. The concept of fast feedback and its advantages are extended to the s ..read more

Reading Time: 11 minutes Very often we see Product Owners, Business Analysts, and such subject matter experts of various domains, struggle to get user stories that are clear and useful for the developers to start their work when they are put in an agile environment. Here is an attempt to use traditional tools and techniques to help them write user stories that are good and easy for the developers to pick up and deliver. Problem Statement Often, Product Owners/Business Analysts (POs/BAs) who are used to churning out Business Requirement Documentation for traditional teams, struggle to get a ..read more

Reading Time: 6 minutesAbstract Product companies that are unable to respond to the change in market conditions and needs, and those who do not capture the market early are losing the competitive edge. We are seeing them lose business and many of them are even getting shut down. What is it that can be done to help these organizations? This blog tries to use the common knowledge of the product lifecycle and tries to see what changes help turn things around. The Product/Feature Lifecycle Every product/feature undergoes four lifecycle phases. The phases and the revenue generated by the product/fe ..read more

Reading Time: 12 minutesDigital Factory Evolution & Production Support Value Stream Digital Factories are next-generation versions of legacy factories. One major difference is the adaptation of the latest technologies to monitor & control the factory operations using sensors & software. Every factory has a designated purpose of existence enshrined in the investor’s vision. Some are meant to manufacture consumer goods while others may manufacture smartphones. Fundamental aspects of the factories remain the same, to create something of value to consumers with the highest quality and ..read more

Reading Time: 7 minutesAbstract Market demands have changed a lot in recent times compared to what they were a few decades ago. With the increased number of options, the customer has today, and the market that is fulfilling the demands with equally fast response time, the pressure on the product companies is to respond quickly to market changes as well as to bring products early to market. This has led to disruption in the organizations to adopt new ways of working to remain competitive. This blog explains the approach that we have taken to help a lot of Fortune 50 companies in becoming high-p ..read more

Reading Time: 9 minutes AWS Database Migration Service (AWS Data Migration Service) is a cloud service that makes it possible to migrate relational databases, data warehouses, No-SQL databases, and other types of data stores. You can use AWS Data Migration Service to migrate your data into the AWS Cloud or between combinations of cloud and on-premises setups. Depending on the requirement of business needs, we need to plan the migration activity of a database. Like in scenarios migrating to the cloud from on-premises, database migration from one to another or one–one (On-premise to the cloud ..read more

Reading Time: 14 minutes I’ve begun to think more and more about (the basics of) complexity theory within our context of IT development & delivery. Why? Well, it’s complex…* As always, this is a random stream of my current thoughts. Hope you enjoy and let me know what you think! First contact: Stacey’s model and incident processes For a few years now, I’ve given various trainings to several groups of people, topics amongst which are DevOps (or effective software engineering) basics, Cloud architecture, and bits and pieces of Scrum here and there. Something that popped up there for me first ..read more

Reading Time: 8 minutesWhat does serverless mean? The term “serverless” in the context of AWS Lambda refers to a cloud computing model where developers can build and run applications without the need to manage or provision servers. In a traditional server-based model, developers have to set up and maintain servers to handle incoming requests and execute code. However, with AWS Lambda, developers can focus solely on writing their application logic, and AWS takes care of the underlying infrastructure management. AWS Lambda allows developers to write functions in various programming languages, su ..read more