Systems | Development | Analytics | API | Testing

Modern data platforms combine automation and generative AI to make data operations for every use case more accessible and scalable than ever.

Modern enterprise data strategies require seamless integration across cloud warehouses, legacy systems, and operational applications. Organizations report that 89% now operate multi-cloud environments, creating architectural complexity that traditional point solutions cannot address.

ETL tools automate the process of extracting data from source systems like Salesforce, transforming it into analysis-ready formats, and loading it into data warehouses, BI platforms, or other business applications. This automation eliminates the manual export/import cycles that drain resources and introduce inconsistencies.

In today’s world of software development, API-first has become more than a trend it is a best practice that allows teams to build scalable, modular and best of all future-ready applications. In an API-first approach, the Application Programming Interface (APIs) are not an afterthought, they are envisioned, documented and agreed upon before the development of an project in begins.

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.

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.

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?

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?

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.

AI answer engines are becoming a default step in B2B discovery. Instead of scanning ten blue links, buyers now ask one complex question in ChatGPT, Gemini, Perplexity, or Google AI Overviews — and get a single synthesized recommendation. If your brand isn’t part of those answers, you risk disappearing at the exact moment buyers decide. Databox’s latest research shows this shift is already happening.