Systems | Development | Analytics | API | Testing

Kafka delivers massive value for real-time businesses — but that value comes at a cost. As usage grows, so does complexity: more clusters, more topics, more partitions, more ACLs, more custom tooling. But it doesn’t have to be that way. If your team is managing Kafka at scale, here are five concrete steps you can take to immediately reduce cost and operational complexity — without sacrificing performance.

The Model Context Protocol (MCP) is an open standard designed to overcome the inherent limitations of large language model (LLM)-powered agentic applications. While these agentic applications excel at reasoning, summarizing, and content generation, they are fundamentally disconnected from the real world. They cannot access live data, interact with private systems, or execute tools on behalf of users.

CMS-0057-F is a set of regulations introduced by the Centers for Medicare & Medicaid Services (CMS), a division of the U.S. Department of Health and Human Services (HHS). It was created to address the urgent need for better interoperability across the healthcare ecosystem in the U.S. For a deeper understanding of this regulation, we encourage you to read Enhancing Interoperability and Streamlining Prior Authorization: A Look into CMS-0057-F.

Testing has always been a time-consuming process (and often isolated from the development cycle). As applications became more complex and user expectations leveled up, the need for a more structured and scalable approach to test management emerged. Test management has evolved significantly, moving from static spreadsheets toward integrated platforms that support automation, traceability, collaboration, and real-time insights.

Here’s the truth: without proper data cleaning, your dashboards, forecasts, and strategy are built on shaky ground. In fact, bad data is already costing U.S. businesses more than $3.1 trillion a year, according to one IBM study. That’s not just a number – it’s lost deals, missed targets, and wasted hours chasing down the wrong metrics.

Ever thought a simple bouquet could turn into a booming business? Well, we do live in a world where convenience is currency. One tap, and your food’s on the way. Another, and your living room’s getting cleaned. From Urban Company to DoorDash, on-demand delivery apps have gone from luxury to a basic lifestyle. And it’s not just about meals or household fixes anymore.

If you’re a big enterprise doing business in California, then California Consumer Privacy Act (CCPA) compliance is non-negotiable. But, while the CCPA is a stringent regulation, complying with it doesn’t have to slow your organization down or limit your ability to innovate. In this blog, we will go over the essentials of CCPA, including who must comply and the regulation’s key provisions.

It is said that the special nature of software development is ever-changing so it is important to choose the right tool for the job. Whether it’s a web interface or a cross-platform mobile app you are building, React and React Native are two of the most powerful technologies available today. This blog will answer the question of "what is React and What is React Native" and show how Keploy can help improve test efficiency across both frameworks.

Test automation is no longer a nice-to-have—it’s a baseline expectation for any team serious about delivering high-quality software at scale. Paulo Feitosa , Sr. Manager, Automation Solutions,

Test case design constantly adopts new languages, architectures, and methodologies. But in the last few years, the pressure to scale while ensuring quality in a smart way, without overly increasing efforts, has changed the narrative. AI has entered the scene, promising to systematize decisions, reduce redundancy, and even create tests from scratch. Some teams have already experimented with AI, while others observe with skepticism.