Systems | Development | Analytics | API | Testing

When leaders lack visibility into how work gets done, they are forced to manage operations based on assumptions. This hides operational bottlenecks and leads employees to use manual workarounds. Organizations seek operational clarity to fix these inefficiencies, demanding solutions that provide process intelligence. Everest Group defines process mining as software that analyzes event logs to discover, monitor, and optimize processes.

By Omnia Ibrahim | Thursday, October 22, 2026 We are proud to announce the release of Apache Kafka 4.4.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent ones. For a full list of changes, be sure to check the release notes. With 25 KIPs and 963 commits since 4.3.0, this release introduces many new features, improvements and bug fixes to all the components.

Kong Insomnia 13.4 is all about giving you more visibility than ever before. Whether it's your git changes, your secrets, or how your users are using Insomnia, you’re able to see more than ever before and make better decisions than ever. We’ve gotten great feedback on the native git support we shipped in v13 a few months ago, and many teams have switched to a CLI way of working. But other teams love the Insomnia Git UI.

Gartner endorses Sauce Labs’ AURA platform, lauding it for completeness of vision and ability to execute.

OctoPerf 18.0.0 is out! In version 17 we separated the injection engine from JMeter, and this release is where it starts to pay off: K6 is now available as a load engine next to JMeter and Playwright. Playwright Virtual Users also measure the Core Web Vitals of every page they open. K6 scripts are code, so they usually live in Git next to the application and get reviewed like it. With OctoPerf 18 you can run them without modifying them: This is why we did all that work in OctoPerf 17.

Bots make up more than a third of internet traffic, and API endpoints attract more of it than web pages do. Scanners hunting for.env files, credential-stuffing scripts, LLM training crawlers, and the long tail of low-effort probes all hit your gateway before they ever reach a service. Every one of those requests costs you — in upstream load, in noise across your analytics, and in the bill.

New addition to LeoCore offers real-time, intent-driven orchestration that replaces manual coordination at scale.

Over the last year, we’ve been building our AI testing frameworks and capabilities because we believe safe AI experiences cannot exist without the right humans in the loop.