Operations | Monitoring | ITSM | DevOps | Cloud

Today, we are pleased to announce the release of CFEngine 3.28.0! The code word for this release is introspection. This is a non-LTS, not supported, feature release, with features which will become part of the next LTS scheduled for summer 2027.

Today, we’re excited to announce that Boost is moving out of beta and into public preview. After months of building, breaking, and rebuilding inside JFrog’s own R&D organization, Boost is ready for the world. If you are currently running into token limits, unpredictable costs, or runaway usage from AI agents, Boost was built for you. It has already helped our teams reduce token spend while maintaining performance.

Merge conflicts rarely make it into a sprint retrospective, but they should. They’re one of the most reliable ways to lose an hour of flow without anyone noticing it’s gone. Every developer expects them eventually, but almost nobody questions the workflow around resolving them.

We are shipping a new batch of Icinga Web ecosystem releases today. Icinga Web 2.14 is the headline, bringing the baseline for two-factor authentication support, configurable password policies, a configurable Content Security Policy, and a round of developer tooling improvements that have been in the works for a while. Icinga Certificate Monitoring 1.4, Icinga Reporting 1.1, and Icinga PDF Export 0.13 join it with PHP 8.5 support across the board and a set of focused improvements for each module.

This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty’s Rundeck/RBA 6.0 recently announced in GA builds towards this vision.

Deeper monitoring. Better reporting. Fewer alerts. Less coffee at 2 a.m. Get the new version.

Off-the-shelf models are easy to deploy, but they are rarely enough to solve complex, domain-specific challenges in production. The key to sustained AI value is not in the models themselves but in the ability to tune, evaluate, and refine those models against your organization’s real-time signals. We are excited to announce that Adaptive ML is joining Datadog to accelerate this vision by combining our deep observability data with their expertise in building specialized, high-performance AI agents.

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.

AI coding assistants like Claude, Cursor, Codex, GitHub Copilot have become standard tools in the modern engineering workflow. Developers use them to write code, generate tests, and review pull requests. But when something breaks in production, these assistants hit a wall: they have no access to your actual system state. They can reason about logs, traces, and metrics. They just can't see yours.