Systems | Development | Analytics | API | Testing

Cross-Data-Center Apache Kafka Replication: Decision Framework & Readiness Playbook

Building distributed systems is a huge undertaking, but the complexity doesn’t end once your application or platform is “production ready.” Keeping these systems online and operational through cloud region outages, a network partition, or just scheduled maintenance is a constant challenge. The bottom line: you don’t want data pipelines for essential business services, customer-facing products, or enterprise data platforms to go dark.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

Perforce 2025 State of Data Compliance Report Reveals Confusion Around AI Data Privacy

MINNEAPOLIS, SEPTEMBER 30, 2025 - Perforce Software, the DevOps company for global teams seeking AI innovation at scale, announced the findings of the 2025 State of Data Compliance and Security Report. This comprehensive research reveals alarming trends when it comes to AI and data privacy, with mass confusion around the safety of sensitive data in AI model training and the frequency of data privacy exposure.

Xray Summer '25 Product Release | Webinar

Catch up on the Summer'25 Product Release Webinar to explore the newest Xray features, AI-powered capabilities with Sembi IQ, upcoming App Editions, and insights from our live Q&A. Xray is the leading Quality Assurance and Test Management app for Jira. More than 4.5 million testers, developers and QA managers trust Xray to manage 100+ million test cases each month. Xray is a mission-critical tool at over 5,000 companies in 70 countries, including 137 of the Global 500 like BMW, Samsung and Airbus.

How does a TCoE balance automation and manual testing to maximize efficiency?

A TCoE should automate the repeatable, detail-heavy regression checks to remove human error and speed releases, while keeping room for manual testing where judgment matters or ROI is low. Automate execution to free the team to focus on new functionality and high-value scripts, and leave fringe or one-off cases manual so effort pays off. — Parker Reguero, RVP of Sales at Katalon Learn more Follow Katalon for more insights in our series!

Accelerating and Scaling AI Deployments Across Hybrid Environments - MLOps Live #40 with Safaricom

Safaricom, one of the most AI-mature mobile operators, delivers predictive modeling and hyper-personalized financial services to millions of users. But operational challenges were slowing down deployments—limiting their ability to scale and act in real time. In this session, Safaricom’s AI team shares how they: Watch now to learn how they overcame bottlenecks, scaled faster, and unlocked real-time impact at massive scale with the Iguazio technology.