Systems | Development | Analytics | API | Testing

Healthcare is no longer confined to clinics and hospitals because it now lives in people’s pockets. With the digital health market on track to surpass $650 billion by 2030, leaders are realizing that apps are becoming the backbone of modern healthcare delivery. For executives, this shift isn’t just about building another digital channel. It’s about driving operational efficiency, improving patient retention, and staying compliant while scaling in a highly regulated industry.

InvocationTargetException is a confusing error message that Java developers often encounter. The good news? It's not the real problem - it's just Java's way of saying "something went wrong inside a method I tried to run for you." Think of it like a delivery person telling you "I couldn't deliver your package because there was a problem at the destination." The InvocationTargetException is the delivery person's message, but the real issue is what happened at the destination (inside your actual method).

Ruby has a robust error handling mechanism called rescue. The way it works is the keyword rescue specifies an exception handler that will catch and handle any exceptions that are raised in the begin block, the code block preceding the rescue block that may cause an exception. Here’s how it looks: When an exception occurs in the begin code block, Ruby transfers control to the rescue block and executes the code within it.

Want to connect your PI System to Snowflake for real-time analytics? Here's how REST APIs can make it happen. This guide covers everything you need to know, from setting up APIs to automating data workflows, ensuring secure connections, and optimizing performance.

You have an important client meeting in another city, your flight is delayed, and you still need to find a hotel close to the venue. What’s the first thing you’ll look for? Because, in the middle of all this, you don’t have the time or patience to juggle multiple websites or calls. What do you do? You simply open a travel app, book a room within minutes, get real-time updates on your flight, and even arrange a cab waiting for you when you land. Simple and stress-free, isn’t it?

AI agents can manage a wider range of tasks than any automation tool yet developed, thanks to their decision intelligence and context reasoning capabilities. Agentic workflows, or processes where at least some of the work is automated by AI agents, make some IT leaders enthusiastic and give others pause. There are valid reasons for both feelings. And the stakes are even higher when you begin orchestrating multiple AI agents.

In this blog post, we'll talk about the significant challenge of managing and governing a growing number of APIs across multiple teams in an organization — and how Control Plane Groups are a clear solution to avoid the chaos of inconsistent policies and operational bottlenecks. Scaling your API infrastructure is tough. Managing a sprawling landscape of APIs, especially across multiple teams, can feel like an impossible task.

Every year, WSO2Con brings together developers, tech enthusiasts, and IT leaders from around the world to dive into the latest in APIs, identity management, integration, and now AI. It’s a space to learn from keynotes and hands-on sessions, share best practices, and get a first look at what’s new from WSO2. So when people walked into the AI Labs at WSO2Con, they expected to hear about AI agents. What they didn’t expect was to meet one, embodied inside a four-legged robot dog.