Systems | Development | Analytics | API | Testing

Simplified Kafka Cluster Migration: Strimzi to AWS Express Brokers with Lenses

Migrating Kafka clusters doesn't have to be a complex or high-risk operation. In this technical walkthrough, we demonstrate how Lenses K2K managed through Lenses 6 simplifies the migration of mission-critical banking applications from Strimzi to AWS Express Brokers with minimal downtime and zero data loss.

What made the first TrueTest implementation successful, and what lessons or surprises came from it?

The first TrueTest implementation succeeded because the team aligned early on clear goals and maintained an open, realistic mindset about what AI could deliver. By being transparent, receptive to guidance, and working in a stable environment, they were able to move quickly and achieve measurable value much faster than expected, which was the biggest and most positive surprise from the implementation.

JRebel and XRebel: The Ultimate Power Duo for Java Development and Performance

Every minute spent waiting for your IDE to build, package, and redeploy code is a minute taken away from what matters most: writing better code. JRebel and XRebel give Java developers the power to eliminate redeploy wait times and catch performance bottlenecks in real-time — so your team can focus on shipping high-quality features faster.

Tricentis AI Workspace: The new control plane for autonomous quality engineering

AI is reshaping how software gets built, tested, and delivered. For quality engineering teams, AI agents promise extraordinary acceleration by automating analysis, executing tests, generating assets, and orchestrating tasks across the SDLC. But when enterprises begin experimenting at scale, new challenges appear. Where are these agents running? What exactly are they doing? Who approves their decisions? How do we govern them safely?

Queues for Apache Kafka Is Here: Your Guide to Getting Started in Confluent

Queues for Kafka is now in General Availability (GA) on Confluent Cloud and is coming soon to Confluent Platform, coinciding with the Apache Kafka 4.2 release. This milestone brings production-ready queue semantics and elastic consumer scaling natively to Kafka through KIP-932, enabling organizations to consolidate their messaging infrastructures while gaining elastic consumer scaling and per-message processing controls. Get started.

Agentic Payments: Redefining the Future of Payments for Enterprises

‍ Enterprise payment systems are at a breaking point: rising volumes, tighter margins, and ever-more sophisticated fraud are pushing traditional automation to its limits. The AI-enabled payments market was valued at $38.36 billion in 2024 and is projected to grow over the next decade. As firms seek smarter, real-time decisioning and risk control, highlighting how indispensable AI has become in payment stacks today. -

7 things engineering teams get wrong about AI-powered QA

We’ve all been there. When engineering teams evaluate AI-powered QA tools, the same questions come up again and again. Some are rooted in genuine technical curiosity. Others stem from experiences with earlier-generation tools that earned a healthy dose of skepticism. After hundreds of these conversations, I’ve identified the seven most common misconceptions. Contents Toggle.

Turning Real Estate Data into Scalable Products: ORIL × BatchData

Every successful PropTech product combines accurate data with thoughtful engineering. This is the goal of the partnership between ORIL and BatchData. The BatchData platform provides extensive U.S. property data and predictive analytics. ORIL uses this data to design and build practical, production-ready real estate platforms.