Systems | Development | Analytics | API | Testing

Apache Kafka powers real-time data at companies processing substantial event volumes daily. The new KRaft architecture makes getting started easier than ever. The platform handles massive data flows for more than 80% of Fortune 100 companies (Apache Kafka), according to the Apache Software Foundation. Event streaming represents a fundamental shift in data processing. Traditional databases save snapshots. Event streaming captures data in motion. It's the difference between a photo and live video.

Every test team has asked the same question at some point: “Should we automate this, or just test it manually?” The answer is rarely black and white. That’s why a Manual vs. Automation Decision Matrix exists to bring clarity to the chaos. It helps teams understand the lifecycle of a test case, its complexity, how often it runs, and the value it adds to product stability. With a decision matrix, you can make more informed, ROI-driven decisions.

Finance teams are smart, but not infallible. Even the most talented and dedicated finance professionals, like the ones on your team, are bound to make a mistake from time to time. But some mistakes are more costly than others. Have you ever been in the middle of a presentation and realized that you were talking about the wrong data? Or have you had an executive ask for data that you simply couldn’t find? With the right tools and automation, you can avoid these embarrassing moments.

Snowflake Intelligence brings enterprise insights to every employee’s fingertips, helping users answer complex questions in natural language with their own personalized enterprise intelligence agent. But for these agents to deliver truly accurate, contextually aware results within Snowflake’s Cortex framework, they need more than access to static or batch data—they need a continuous, trustworthy view of everything happening across the business right now.

We are excited to announce that Confluent has entered into a definitive agreement to be acquired by IBM. After the transaction is closed (subject to customary closing conditions and regulatory approvals), together, IBM and Confluent will aim to provide a platform that unifies the world’s largest enterprises, unlocking data for cloud/microservices, accelerating time-to-value, and building the real-time data foundation required to scale AI across every organization.

Forget everything you thought you knew about AI! Literally! Yes, we are not lying because a new era has already begun. A technology is emerging that doesn’t just compute… it perceives. It listens, observes, reads, and interprets the world with a blend of senses much closer to our own. It’s the age of multimodal AI, where intelligence is no longer limited to a single stream of data, but fuelled by the combined power of text, images, audio, and video.

Cyberweek 2025 demonstrated something unmistakable: the way customers shop, choose, and pay has changed permanently.

Testing doesn’t stop at unit tests. Once components start talking to each other, things get messy fast. That’s where integration testing comes in, to make sure your systems work well together, not just on their own. An Integration Test Plan helps you bring order to that chaos. It outlines what to test, how to test it, and how to track results across your environment.

The user experience of an app can often generate impacts in unexpected areas. As the industry shifts to a rapid development cycle with more new features being released rapidly and a growing number of code changes each month, development teams find it difficult to deliver new capabilities while also maintaining stability. The question is not whether regression testing is necessary. It is how to decide which form of regression testing is best for a given change.

When I talk to customers about privacy and their data, the topic is data sovereignty. More and more organisations want their data to stay in a specific jurisdiction, with no transfer to, or access from, another region. A few years ago, this was something for lawyers and compliance teams to worry about. Now it is a regular item on the C-suite agenda because it touches cloud strategy, innovation projects, and how you run the business day to day.