Systems | Development | Analytics | API | Testing

As software vendors place more controls around data access, enterprises must decide whether their future AI capabilities will be defined by their strategy or their vendors' policies.

Project leaders and QA engineers understand that cloud testing challenges are not created equal. Some issues are inconvenient but manageable, while others can jeopardize releases, security, or compliance. The real expertise lies in identifying which obstacles are truly business-critical – the ones that, if ignored, can cascade into outages, breaches, or regulatory failures.

At Perforce Delphix, we have found that referential integrity is very often a deciding factor for enterprises evaluating data masking and test data management solutions. That same requirement is emerging in conversations about synthetic data, as well. Mayank Ahluwalia, Senior Product Manager at Perforce Delphix, has seen this need firsthand in his conversations with enterprise leaders.

If you're building iOS apps on Bitrise and using one of the Xcode 26 edge stacks, you must switch to the Xcode 26 stable stack before July 31, 2026.

WWDC 2026 delivered plenty for app developers to talk about, but some of the most consequential announcements were aimed squarely at the people running the infrastructure underneath. We've already covered the under-the-radar announcements for iOS developers and what Xcode 27's Device Hub means for CI/CD. This one is for the fleet operators. If you run Mac infrastructure at any scale, the Virtualization framework is already part of your life. On Apple Silicon, it's the only way to run a macOS guest.

Some approaches to API governance interrupt developers mid-flow, forcing them to context-switch into a separate tool and manually verify their API definition before they can ship. That approach has never really worked. Not because developers don’t care about quality, they do, but because the best time to fix an API is the moment you’re already thinking about it. That’s what has always guided how Swagger grows. Not “come to us.” But “we’ll be there.”

Use Conversational Analytics in BigQuery to query data, run analyses, and generate reports using natural language on data in BigQuery and Lakehouse.

Keep track of new connectors and product releases.

It was 2am and I was paying for the privilege. Something was on fire in production, and I’d done the modern thing: I pointed an AI agent at it. It ingested the dashboards. It read the logs. It walked the traces. Then it handed me back a beautifully formatted paragraph that said, in effect, “latency is elevated on the checkout path.” I knew that. The page told me that.

There's a well-worn path to resumable AI chat streams: find the Vercel SDK docs, implement Redis-backed replay, and ship it. For many products, that's the right call. The challenge arises when the product goes further than that. AI customer support tools that handle complex queries over 30-plus seconds. Agents that keep working while the user switches from their laptop to their phone.