Systems | Development | Analytics | API | Testing

We're excited to announce an enhancement to the WSO2 Support Portal: our new Call Management feature! This update is designed to streamline how you request and manage calls for your support cases, making the process more efficient and transparent.

Distributed tracing is a method to track requests across interconnected systems, providing visibility into how data flows through complex pipelines. It helps identify bottlenecks, troubleshoot errors, and improve system performance. Here's what you need to know: Why It Matters: Traditional logging often misses the big picture in distributed systems. Tracing connects the dots, enabling root cause analysis, performance monitoring, and improved reliability.

API protocol benchmarking helps you measure and compare the performance of communication protocols like REST, GraphQL, and gRPC in microservices. It’s not just about speed - it’s about finding the protocol that works best for your system under realistic conditions. Benchmarking identifies bottlenecks, helps with scalability, and ensures your architecture performs well under load.

Securing APIs for legacy systems is challenging but critical. Older systems often lack modern security features, making them vulnerable to attacks. Here's how you can protect them effectively.

If you've ever tried building an API with plain JavaScript and found yourself drowning in bugs, weird errors, or spaghetti code, yo, you're not alone. That’s why so many devs are leveling up their backend game by mixing Node.js with TypeScript. It's like going from playing Minecraft in creative mode to building actual skyscrapers: more control, better structure, and way less chaos.

Enterprises like yours manage terabytes to petabytes of data daily. Collecting and storing this massive volume of information is already complex. But the real challenge lies deeper. It's in delivering data effectively, securely, and in ways that empower your teams to innovate. This blog will deep dive into the current state of enterprise data automation and examine the limitations of legacy solutions. Then, we will explore how top-performing organizations approach automation in their industries.