Systems | Development | Analytics | API | Testing

Latency and throughput are the two most important metrics for API performance. If your API feels slow or struggles with heavy traffic, understanding these is your first step to fixing it. Latency: The time it takes for a request to go to the server and back (measured in milliseconds). Think of it as how quickly a single request is handled. Throughput: How many requests your API can handle in a second (measured in requests per second). It's about your system's capacity.

Choosing the right framework can significantly impact the success of a dev project. If you've chosen to use Python for your project's backend, you might need to decide between Flask and Django, the most popular web frameworks in the Python ecosystem. This article will help you determine which of the two best suits your specific needs by examining the key factors to consider. Before diving into the technicalities, let's briefly introduce both Flask and Django.

Observability isn’t a luxury, it’s a necessity. But for teams managing large Node.js applications, getting real-time visibility into performance, memory usage, async behavior, and security can be a complex and risky endeavor, especially if it means modifying your production code. That’s where N|Solid by NodeSource changes the game. Imagine getting deep, real-time insights into your Node.js applications without touching a single line of your business logic.

I don't have a degree in computer science, and it's okay if you don't either! Lots of us Rubyists don't have formal computer science credentials. So for a long time, I avoided learning about big-O notation. It looks a little too much like higher math. I mean just look at something like: O(N^2). Come on!

Have you ever paused to think about how fast money moves today? No paperwork, no waiting in line, just a few taps, and it’s done. For industry leaders, this raises a crucial question: Are we doing enough to keep pace with the evolving consumer expectations in the P2P payments space? Global’s peer-to-peer (P2P) payments landscape has seen an extraordinary transformation over the last few years.

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.