Operations | Monitoring | ITSM | DevOps | Cloud

You've been staring at the problem too long. Fresh eyes break what you can't.

Episode 2 of Resolve Reels is here. In this walkthrough, we introduce the new Scheduled Workflows Dashboard in Resolve Actions. Get a centralized view of every scheduled automation across your environment. Track execution status, monitor success and failure rates, and quickly drill into workflow performance. See how teams can: This is how modern IT teams move from reactive oversight to proactive control. With Resolve, automation is not just executed. It is continuously monitored, optimized, and scaled.

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Platform teams often end up as the bottleneck for “small” operational asks: add a new button, wire up a workflow, expose one more cloud capability—each change requiring engineering time, reviews, and releases. In this technical deep dive, engineers from the Department of Government Services (Victoria) share the architecture and open source CDK library behind their “Infrastructure Control Panel”: a modular operational enablement app that lets non-technical users interact safely with cloud resources through strong access controls.

When stakeholders push for faster growth (new markets, new features, newly modernized stack) your engineering model has to change too. At FitnessPassport, the shift from offshore waterfall delivery to an in-house team meant rebuilding not just services, but confidence: legacy systems with weak logging and little visibility made it hard to know whether changes were working and impossible to spot issues before users did. In this talk, Director of Engineering Rob Mitchell will share how FitnessPassport adopted Datadog and used structured logs, metrics, and traces to tighten feedback loops.

Delivering great products to your customers requires a mix of evolution and consistency. To really land with users your product has to be ready to adapt and scale, prioritizing across a mix of customer and business needs. Join experts in reliability, systems engineering, and DevOps as they share real-world examples, true stories of pitfalls, and astounding impact from the experiments they have run. Learn how experienced practitioners handle failure, adapt to scale, and bridge gaps between teams to improve software performance and customer outcomes.

KubeCon EU 2026 is done. Now let’s talk about what actually mattered. This recap session covers the biggest announcements, the talks everyone’s still discussing, and the trends that look like they’ll stick. From Kubernetes and platform engineering to GitOps and security, we’ll break down the practical takeaways and call out the overhyped moments. If you want a straight summary without the marketing spin, this is it.

Learn the clear difference between performance testing and load testing in this quick video. Performance testing checks how well your software works under different conditions like speed, stability, and scalability. Load testing focuses only on how the system handles expected user traffic. If you want to build reliable applications, knowing these two helps you test smarter. Perfect for developers, testers, and QA teams.

AI must be reliable and resilient at scale. When systems are exposed, impact spreads fast. Zero Ticket = real-time resolution. The future is autonomous.

We’ve spent the last decade collecting more telemetry. Now AI is analyzing it. Here’s the catch: AI needs the full dependency chain to reason correctly. If it sees spans but not storage contention… Services but not Kubernetes scheduling… Frontend metrics but not downstream providers… It will confidently optimize the wrong thing. AI doesn’t lower the need for observability. It raises the standard.