Systems | Development | Analytics | API | Testing

It starts innocuously. Marketing signs up for a new analytics platform. IT renews that enterprise license even though only 40% of seats are used. HR adds another recruiter. Travel spending creeps back to pre-pandemic levels despite hybrid work. Then one day: SG&A as percentage of revenue climbed from 22% to 28% over three years. Your margins are compressed. The board is asking questions.

Interactive analytics has a simple promise: answers should show up when people need them, not after the moment has passed. But when usage spikes, many teams end up paying twice: once in latency and again in compute. We recently published a blog introducing Snowflake Interactive Analytics and what it means for ThoughtSpot customers.

Recently, I had the pleasure of sitting down with Cristiano Caetano, VP of Product at Katalon, to explore his journey in software testing. It was a path that began with frustration, evolved through innovation, and now looks toward an exciting AI-driven future. Cristiano's insights shed light not only on his personal career path but also on the broader evolution and future of software testing.

As you build and manage data streams in Confluent Cloud, securing your interactions with its APIs is paramount. Confluent Cloud offers two types of API keys that manage authentication to the different APIs in Confluent Cloud: cloud API keys and resource-specific API keys. Each has its own distinct characteristics and use cases.

There’s a particular kind of exhaustion that comes with traditional performance testing. You spend weeks building perfect load scenarios, run them overnight and wake up to a wall of red in your monitoring dashboard. Half your day disappears into log files, trying to piece together what went wrong. And just when you think you’ve got it right, a minor UI update breaks everything and you’re back to square one. If this sounds familiar, you’re not alone.

Coding with artificial intelligence is not just a nice-to-have; AI applications in computer programming are becoming integral to modern computer programming workflows. Presently, two primary applications dominate the discussions in this area: GitHub Copilot and Cursor AI. While both applications provide faster coding times and fewer bugs, fewer bugs, and smarter code, they offer such features in extremely different ways.

For gaming studios, the traditional manual testing and player beta period remains part of QA, but its limitations in the face of modern gaming’s scale and complexity can threaten a brand’s very existence.

For gaming studios, the traditional manual testing and player beta period remains part of QA, but its limitations in the face of modern gaming’s scale and complexity can threaten a brand’s very existence.

January 28th marks International Data Privacy Day, a day to raise awareness about the importance of privacy and promote best practices. Privacy has long been about maintaining control of your data, in particular where it goes, and who can see it, and what it’s used for. Two topics under this theme, data residency and data sovereignty, come up in almost every customer conversation at the moment. While closely aligned, there are key differences.

How does your Shopware 6 store’s PHP backend performance compare to other operators of Shopware in general? To answer this question, we have aggregated and anonymized performance data from over 200 Shopware 6 stores over the second half of 2025 and computed benchmark numbers to compare to for the most important page types: Product details, Category, Search, and Homepage. We previously made these benchmarks for 2025 Q1, and 2025 Q2. Going forward, these will be published every 6 months.