Systems | Development | Analytics | API | Testing

This milestone reflects our ongoing commitment to security best practices to ensure that our customers' data stays safe and secure with us. As part of an ongoing effort, we renew our SOC 2 Type 2 Report each year. Starting in November 2025, our PCI DSS Attestation of Compliance (AOC) will be renewed annually as well. We’re also happy to announce that we’ve launched our brand-new Trust Center, a central hub for security, compliance, and privacy practices at Bitrise.

Amazon DynamoDB is a powerful, fully managed NoSQL database service that delivers single-digit millisecond performance at any scale. Yet despite its impressive capabilities, accessing DynamoDB from applications often requires wrestling with verbose SDK code, managing authentication complexities, and implementing repetitive CRUD operations manually. What if you could eliminate all that boilerplate and instantly expose your DynamoDB tables through a secure, documented REST API in just minutes?

The meeting started with a question I wasn't expecting. "Dragan, if AI can write tests now, what exactly will your team be doing next year?" Q1 2025, six months before I founded Quantum Quality Engineering. The executive wasn't hostile, just genuinely curious. Behind that curiosity lurked a more complex question: Do we still need QA leaders in an AI-driven world?

Ably AI Transport is now in early access. It gives your AI the continuity, awareness, and multi-device reliability users actually expect. Drop it in, keep your existing stack, and start shipping Gen-2 AI right away.

By Erez Schnaider, Technical Product Marketing Manager, ClearML Slurm has powered HPC environments for years. It is battle tested, widely adopted, and deeply embedded in research and engineering workflows. Over 60% of the TOP500 supercomputers use it to manage their large infrastructure, orchestrate workloads and schedule jobs, as it is powerful and versatile with over 20 years of engineering behind it.

When we talk about JSON schema in the world of Kafka and streaming, you may assume the schema for the events/messages. But how many times have you fumbled in the configuration about trying to get an application deployed? Schemas that describe how to configure and deploy Applications or applications-as-code, are also important, allowing us to automate application landscapes. Especially as we will soon be a wash with catalogs for AI Agents, MCP servers etc.