Systems | Development | Analytics | API | Testing

In the fast-paced world of digital analytics, understanding your users isn't just about collecting data. It's about making sense of it in ways that drive real business decisions. Enter cohorts, a powerful tool that helps you segment users based on shared behaviors and characteristics. Whether you're a marketer trying to boost retention, a product manager analyzing user engagement, or a business owner seeking deeper insights, cohorts can transform how you view your audience.

At Confluent, our mission is to provide the world’s most secure and scalable data streaming platform. So we’re aware and planning for a future where the threat of a large-scale, cryptographically relevant quantum computer is able to break the public key cryptographic algorithms in use today. In fact, the Quantum-Safe Working Group of the Cloud Security Alliance set April 14, 2030, as the deadline by which companies should have their post-quantum infrastructure in place.

Artificial intelligence is transforming how organizations access and analyze data. But for most teams, connecting AI tools to real business data remains a major challenge. Security, governance, and integration complexity often slow down or completely block AI adoption. To help developers and data teams bridge that gap, we are excited to introduce the DreamFactory AI Academy.

Every successful listing starts with the right price, but in today’s fast-moving market, manually valuing properties can be slow, inconsistent, and risky. AVM platforms give brokerages the power to generate instant, data-driven valuations, helping agents set competitive prices, win more listings, and close deals faster. We break down what an AVM platform is, the challenges brokerages face, the key data and features to prioritize, and how to turn complex market data into actionable insights.

Exceptions are inevitable. It’s how we deal with them that matters. An effective exception handling regime is the difference between an app that only works in sandbox and one that can adapt and scale in the real world. JavaScript can throw up all kinds of weird and wonderful exceptions, because it runs in inherently unpredictable environments. So we’ve put together this guide to give you a clear, repeatable plan for handling them.

Software ships faster than ever, but speed introduces risk without the right crash monitoring and error reporting tools providing visibility into what happened, why, and how to fix it.

‍Mobile development has a reputation for being slow, complex, and harder than it needs to be. Platform quirks, rigid review gates, and ever-growing app complexity can make it feel like the toolchain is working against you. But the data tells a different story. We analyzed tens of millions of builds across thousands of mobile teams on Bitrise, spanning three years of real-world data from 2022 to 2025. The results challenge some common assumptions, and confirm others.

The appetite for real-time data continues to grow. Across industries, the ability to act on data as it arrives is increasingly central to how leading organizations compete, from IoT and fraud detection to event driven analytics and AI agent architectures. Streaming data is no longer a specialist workload. It is becoming a core requirement. I am excited to announce that streaming ingestion is generally available in Qlik Open Lakehouse, part of Qlik Talend Cloud.

For fifty years, the hardest part of software was writing it. That's no longer true. In 2025, AI coding assistants went mainstream — 90% of developers now use them (DORA 2025). Then came background agents: autonomous systems that take a ticket, write the code, run the tests, and open a pull request while the engineer sleeps. Stripe merges over 1,000 AI-written PRs per week. Ramp reached 30% AI-authored PRs within two months. Spotify has merged 1,500+ agent-generated PRs into production.

Production bugs that only reproduce in actual traffic can be some of the most frustrating bugs in software development. You can stare at your logs, add traces to your code, add instrumentation – and still not be able to see the actual requests that went over the wire. And that gets even harder when the requests are encrypted and the system is a black box. You can use tools like Wireshark or Kubeshark to capture the requests.