Systems | Development | Analytics | API | Testing

2025 will be remembered as the year AI wrote poetry, passed medical exams, and stumbled with spectacular blunders. For every impressive breakthrough, there was an equally impressive facepalm.

Some topics are just too trendy to overlook, and AI in testing is definitely one of them. A few weeks ago, we shared a blog post introducing the integration between an MCP server and OctoPerf, highlighting the many benefits it brings. To illustrate this in action, we recently hosted a webinar led by Thomas Pitteman, performance testing expert at Adeo and OctoPerf power user.

In September 2025, we brought AI Engineer to Paris for a two-day conference with 700+ attendees, 25 sponsors, over 47 talks cross 5 tracks. This is the third post in a 4-part series on the event: If you missed AIE Paris, you’ll be able to watch the replays on the Koyeb YouTube channel. Main Stage Day 1 Main Stage Day 2 If you’re not familiar, the team behind the AI Engineer has been running AI Engineer conferences in the US for the past three years.

Replaying traffic is a core tool in your toolbox when you need to reproduce a tricky bug or validate how your app behaves. Traffic replay is especially valuable for testing complex software applications that rely on APIs and microservices, where integration and functionality must be thoroughly validated.

A few years ago I was on call during the Super Bowl. At the time I was working for an observability vendor and one of our customers had an outage caused by a surge in user traffic. But our monitoring system didn’t have enough data to know what went wrong and I sat on a call for 2 hours painfully listening to them spinning up more servers and trying to catch up with the user load.

Accessibility for constituents isn’t just about ramps and elevators—it’s also about technology. As more government services and operations move online, ensuring digital accessibility is just as important as ensuring physical spaces are accessible. Under Title II of the Americans with Disabilities Act (ADA), state and local governments are required to provide equal access to all programs, services, and activities for people with disabilities.

At WSO2, our content is grounded in original thinking and hard-earned lessons from building real enterprise systems with our products. We apply first principles to shape our perspective on our strategy and forward thinking. No model can replace this experience. AI is valuable when used by thoughtful authors, but alone it does not deliver meaningful value to our readers, customers, or community.

When the automotive industry introduced the concept of Levels of Autonomy, it gave us a shared language for something profound. It wasn’t just about self-driving cars, it was about how humans and intelligent systems work together as execution gradually shifts from one participant to the other. Level 0 is full human control. Level 5 means the car can handle any situation on its own. And between those two extremes are a series of stages that capture both technological progress and human adaptation.

You’re building the next generation of your product, but you’re not sure whether embedding analytics is the right move. The demand is clear: According to insightsoftware and Hanover Research’s Embedded Analytics Report, self-service analytics and managed dashboards are of key importance for nearly all embedded analytics buyers, in large part because customers expect data insights, dashboards, and reporting built right into your application.

In the world of APIs and microservices, choosing the right tools for data compression and serialization can drastically improve performance, reduce bandwidth costs, and streamline communication. Here's a quick breakdown of five popular tools and their strengths: DreamFactory: Simplifies API creation with automated JSON serialization, strong security features, and support for over 20 databases.