Systems | Development | Analytics | API | Testing

EU Cyber Resilience Act: Is Your Software Compliant? (2026 State of Open Source Report)

What does the EU Cyber Resilience Act (CRA) mean for open source software, software supply chain security, and regulatory compliance? In this clip from the 2026 State of Open Source Report webinar, experts discuss how the European Union's Cyber Resilience Act (CRA) is reshaping software security requirements for organizations that develop, distribute, and integrate software products. The panel explores why the CRA is one of the most significant regulatory developments affecting the software industry and how it impacts both commercial software vendors and the open source ecosystem.

Open Source Security, Licensing, and Other Challenges (2026 State of Open Source Report)

Is open source licensing still a major challenge for enterprises—or has security become the bigger concern? In this clip from the 2026 State of Open Source Report webinar, experts from the Eclipse Foundation, Open Source Initiative (OSI), and Perforce OpenLogic discuss how open source adoption challenges have evolved over the past decade. While licensing complexity was once a top concern for organizations, the maturation of the open source ecosystem and the widespread adoption of well-established licenses have helped reduce that burden.

data:unplugged 2026 Recap - PAYBACK's Decade of Data Mastery

At the recent data:unplugged 2026 in Münster, Europe’s biggest festival for data and AI, the stage was set for a masterclass in data transformation. Julian Stock, Analytics Reporting Team Lead, and Andreas Weiß, Senior Reporting Engineer, from PAYBACK, Germany’s premier loyalty program, shared the stage to detail a decade-long evolution: the journey from a strict, ticket-based reporting system to a thriving, AI-ready data culture.

How to Architect a Clean Context Layer for Trustworthy AI

A CFO asks her AI agent a simple question: "What was our ARR at the end of Q3?" The agent finds the subscriptions table, spots a column called arr, sums it up, and returns $16.4M. Strong quarter. Everyone nods. The real number was $13.9M, but no one in the room knew it yet. I hear some version of this story from nearly every data leader I talk to right now, and it almost always starts the same way. They stand up an AI pilot. It looks sharp in the POC.

Rendezvous Points: Simulating Real Simultaneity, Not Just a Ramp-Up

This is the fourth post in our "Features Sitting Idle" series, where we explore OctoPerf features that are powerful, already available, and yet often replaced by manual workarounds. The distinction matters, and it is often overlooked in test scenarios. Teams that need to simulate a true simultaneous spike - flash sales, ticket drops, mass logins at a specific time, scheduled batch openings - usually end up working around the problem instead of using the tool's native support for it.

AI Load Testing With a French LLM: OctoPerf MCP Meets Mistral Vibe

When we released the OctoPerf MCP Server, most teams connected to it straight from Claude.ai. Then we showed how to run the whole stack on-premise with a local model. But a question kept coming back from European teams: can we drive our load tests with a French LLM, hosted in Europe, instead of a US model? The answer is yes, and it takes about five minutes.

Building Secure, Resilient, and Compliant Fraud Detection With Confluent Cloud

Banking customers expect financial transactions to be completed quickly. Fraud analysis must execute in milliseconds, so traditional batch processing systems are inherently too slow. To safeguard transactions, institutions must shift to proactive, in-flight prevention. Confluent enables this shift by using Apache Kafka and Apache Flink to continuously correlate transactional and behavioral signals, blocking malicious activity before a transaction settles.

Stream Governance: Making Compliance a Property of Data in Motion

As organizations have transitioned from batch processing to real-time streaming architectures, a critical governance gap has emerged. Legacy data governance tools designed for databases, warehouses, and file systems assume that information is stationary and focus on protecting, classifying, and auditing data at rest.