Category: Tidbits

“Ownership” is one of the harder concepts to define in the modern enterprise.  This feels deceptive because, from a personal and human level, ownership is a rather straightforward concept. When you own something as a person, like your car or your house, you control it completely, and you’re accountable when things go wrong. Ownership means

If you are into AI and specifically generative AI, you definitely did not miss the buzz about OpenAI releasing open-source models for the first time since February 2019, and this was with GPT-2.  It’s like OpenAI has finally brought back the open into play.

Imagine this: You are a developer who has been tasked with solving a difficult problem that causes revenue loss by the minute. Your managers and leaders have pulled you from your current priorities and asked you to look at the codebase behind a service that is repeatedly running into one of the following severe issues:

The Model Context Protocol (MCP), introduced in late 2024, is a significant move forward towards transforming the agentic AI revolution by providing a mechanism for them to connect with enterprise tools, APIs, and databases. The protocol presents a standardized way for large language models (LLMs) and business workflows to communicate with business systems, databases, APIs, and even development environments.

Relevance of the Study Modern organizations are increasingly turning to cloud technologies to improve the flexibility, scalability, and efficiency of their IT infrastructure. One important tool in this process is Infrastructure as Code (IaC), which allows organizations to describe their infrastructure using code, automate the deployment process, reduce the risk of human error, and ensure

We all know that the internet works by sending and receiving small chunks of data called packets. Back in the early days, when the internet was still in its infancy, packets were allowed to transfer freely across a connected world, however small that world was. Anyone could send packets to your system, and you could

Why Does It Matter? When we talk about a regulated workload, we talk about compliance. These compliances are industry standards that govern how data is processed, stored, and managed. That is why these workloads need to be clean and should be assessed based on controls we can prove. Examples of such practices are Least-Privilege access,

Data governance has historically been the least glamorous part of data engineering. Engineers thrive on building things, designing scalable pipelines, curating high-quality datasets, and enabling machine learning models that deliver real business impact due to business demands. Governance, on the other hand, is often seen as red tape, including permissions, audit logs, compliance checks, and

You’re a startup fresh out of your development-focused cycle, starting to gain traction and demo your product to potential clients. As someone working at a freshly minted Series A company, I understand the priority: get the product working. In our case, that meant demonstrating our data insights solution worked — before implementing sophisticated (but necessary)

Despite rapid advancements in test automation and the use of AI in software testing, manual testing is still a fundamental part of software Quality Assurance in 2025. Recent data from multiple industry reports confirm the ongoing value of manual testing in comparison to test automation. For example, only about 5% of companies perform fully automated