Operations | Monitoring | ITSM | DevOps | Cloud

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.

If you run Claude through LiteLLM, some of that spend is probably going uncounted – and you can’t see it, precisely because the data isn’t there. Routing through a gateway is messier than it looks: LiteLLM alone can carry Claude several ways – the OpenAI-compatible endpoint, and the Anthropic pass-through proxy that the native SDK and Claude Code use – and each path describes the same call differently.

When we introduced Upsun Dispatch last week, we said we were building the platform layer for everything around the code. Today, you can apply to join as a founding design partner. Starting July 1, 2026, a number of engineering organizations will join us in prerelease. This is a selective, high-touch collaboration with teams who want to help shape what comes next. If you missed the introduction, you can catch up on Upsun Dispatch here.

This is the first post in our DRIVE Deep Dive series. Over the coming month we'll examine each pillar of the DRIVE framework in turn, and map DRIVE against the frameworks engineering leaders already run on, including DORA and SPACE. For the complete model, download the full DRIVE framework.

AI is writing more of the code. Software delivery, the work between writing code and running it in production, is where most of the day still goes. Building, testing, scanning, deploying, remediating, and operating still require the same, if not more, effort as before AI. Today, we're introducing Autonomous Worker Agents for software delivery: the platform for enterprises to build and safely run AI agents that handle the work between writing code and shipping it to production.

Earlier this year, we launched Merge Queues in open beta to help teams automate, sequence, and validate pull request merges. During the beta period, we incorporated feedback from hundreds of teams to improve reliability and simplify configuration. Today, we are excited to announce that Merge Queues is generally available for Standard and Premium plans on Bitbucket Cloud.

How Squirrel stubs behave in SharePoint - filename, extension, metadata, permissions, and restore mechanics. The 2026 technical reference.