Systems | Development | Analytics | API | Testing

What if a single, untriggered logical flaw could compromise an autonomous vehicle’s braking system or ground a commercial airliner? The stakes are unbelievably high with safety-critical software. Traditional code coverage metrics, however, often fail to test the subtle, complex dependencies within a single decision. Knowing that a line of code executed isn’t the same as knowing the logic works.

Hi everyone, I’m Elly, Katalon Community Specialist by title, tester at heart. I spend a good chunk of my time researching around the Katalon Forum reading bug reports, answering questions, and watching how this brilliant community solves problems together. Over the past month, I’ve been tracking what everyone’s been talking about: the tricky bugs, the clever fixes, and the shout-worthy contributions. This post is my way of sharing that back with all of you.

Mobile crash reporting keeps apps reliable at scale, helping developers root out the cause of problems and prevent them recurring. In this guide, we compare the top mobile crash reporting tools for 2025, including Android-friendly and cross-platform options, to help you choose the right fit for your workflow. You’ll find: This guide focuses on what truly matters for real development teams, not just feature lists. And yep, we’re slightly biased, as one of the solutions is our own.

At this year’s Big Data London, Keboola CEO Pavel Doležal sat down with data expert Christina Stathopoulos on EM360Tech’s Don't Panic, It’s Just Data podcast to explore what’s next in enterprise data automation. The conversation centered on a quiet but powerful shift in how AI, particularly large language models (LLMs), is changing the way organizations interact with their data platforms - not just by querying them, but by acting on them.

Fivetran powers the data foundation behind Snowflake’s next-generation AI-driven analytics, enabling users to talk directly to their data.

Sauce AI for Insights is a dedicated AI agent that cuts through the noise of complex test results.

1. Organizations have moved beyond pilots and are embedding LLMs into production workflows across customer support, finance, security, and software delivery. 2. LLM observability mitigates risks like hallucinations, bias, compliance breaches, and runaway costs. 3. LLM observability requires prompt/response tracking, hallucination detection, drift monitoring, RAG pipeline visibility, and long-term context tracing. 4.

We’re proud to announce that Hitachi Vantara has been recognized as a Challenger in the inaugural 2025 Gartner Magic Quadrant for Infrastructure Platform Consumption Services (IPCS).