Operations | Monitoring | ITSM | DevOps | Cloud

Join us for a follow-up Grafana Campfire to explore what we’ve built in Git Sync since December 2025. We’ll cover new and improved Git provider integrations and authentication options, smoother dashboard editing and pull request workflows, and more control over changes through signed commits, user attribution, and PR and commit conventions. We’ll also explore improvements to folder organization and permissions, READMEs alongside your dashboards, and clearer synchronization status.

AI feels faster. Make sure it is. GitKraken Insights shows engineering leaders the real cost, output, and ROI of their AI investment, per tool, per team, per developer. Then it gives every developer their own data and coaching to get more from it. 84% of developers say they feel more productive with AI. Only about one in five can actually measure the impact.* With GitKraken Insights, you can: We run on it ourselves: GitKraken's own engineering org reached 2.53x output in six months.

CircleCI’s CRO on why this moment calls for learning faster, getting better, and embracing a little discomfort.

Moving off Heroku is rarely a technical problem. Heroku gives you a way of working: push, review app, add-on, rollback. AWS gives you primitives. Teams budget for moving the workloads, then lose six weeks rebuilding the workflow around them.

As we wrap up our month-long series, we look at the resources that will help you keep learning and growing - from Cribl University to Sandboxes to the Cribl Community and beyond. By the time the month is over, you will have a pretty good idea of what Cribl can do, and how to do it. You’ll also have consumed more caffeinated beverages than is strictly appropriate...

Discover the latest log management strategies for 2026 and learn how AI and automation turn raw logs into actionable insights. See how modern log management can reduce investigation time, improve incident response, control costs, and strengthen visibility across hybrid and multi-cloud environments.

As AI agents gain access to sensitive data, tools, and enterprise systems, effective governance requires real-time visibility, controls, and recovery. This Zero Ticket Minute explores how trusted autonomy can help organizations scale agentic AI safely.

What is data mesh architecture, and how does it compare to data fabric and data lake? In this episode of Quick Question, we explain how data mesh connects distributed data sources without duplication or centralization, keeping data at its original location while giving authorized users secure, low-latency access, even in mission-critical and bandwidth-constrained environments.

In this webinar recording, discover how ServiceOps and ObserveOps connect IT service management with deep observability. Learn how IT teams can identify root causes faster with unified visibility across incidents, metrics, logs, traces, applications, and infrastructure. Don't forget to like, share, and subscribe for more insights on ITSM, observability, AIOps, and IT operations.

As fast as AI can generate code, getting that code to production still tends to slow things down. It makes sense. When code breaks in production it’s not just a nuisance; it’s a full-blown incident. And can have big impacts for your company and customers. The question really is, can you catch broken code as quickly as you can ship it? In this livestream, Peter McCarron, Technical Product Marketing at Sentry, is joined by Tom Totenberg, Head of Release Automation at LaunchDarkly, to talk about how you can automatically protect new releases from code merge to error detection.