Operations | Monitoring | ITSM | DevOps | Cloud

Developer experience predicts what's coming 3 to 6 months before it shows up in your delivery metrics. So why are most engineering leaders measuring it last? In this session, GitKraken VP of Developer Research Jeremy Castile breaks down what developer experience (DevX) actually is, how to measure it across 6 key dimensions, and how it connects to velocity, code quality, and AI impact data your team is already tracking.

Kubernetes dashboards often mask a system infrastructure failure. When a critical application crashes, it often points to an Out-of-Memory event. Even while standard CPU metrics appear completely healthy. This quick walkthrough shows you how Coralogix integrates continuous memory profiling directly into your production environment. We pair OpenTelemetry trace data with continuous background sampling via the Async Profiler. It helps teams isolate resource heavy code paths before they trigger system degradation.

Stop editing raw YAML by hand. Discover how to build, validate, and scale complex OTel pipelines visually with the Visual Builder for Coralogix Fleet Management.

Introducing Round-Robin Alert Distribution in OnPage. When every alert starts with the same responder, critical issues can pile up fast and put too much pressure on the same on-call team members. With Round-Robin Alert Distribution, OnPage can route alerts sequentially across responders, helping teams distribute urgent work more evenly, reduce workload concentration and support a more balanced on-call experience.

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Your workflow is officially outdated. Mythos 5 just changed the game. Here is everything you need to know in under 60 seconds.

Everyone is vibe coding products right now. But most applications are missing one crucial thing: Observability. In this video, I talk about: You can literally start this weekend: If you are turning your vibe-coded app into a real startup, observability should not be an afterthought.

Artifact governance should not depend on manual checks. But for many teams, container images, software packages, and open-source dependencies are imported into registries from multiple internal and external sources. Without automated guardrails, vulnerable images, untrusted packages, end-of-life dependencies, or non-compliant artifacts can reach developers and delivery pipelines.

Bain says AI cost savings aren't arriving. But the value isn't missing, it's invisible. Most engineering teams can see token spend. They can see AI usage. What they can't see is whether any of it shipped, and whether it moved the needle on delivery. That's the measurement gap. And until it closes, AI ROI will keep looking worse than it should.

In this Reality Bytes special, Tom and Oriana welcome Nexthink’s Head of Global Talent Success, Gabi Tofani, to explore how AI is reshaping workplace culture, learning, leadership, and employee experience. From measuring AI adoption and building curiosity-driven cultures to the risks of “AI slop,” homogenized thinking, and performance reviews written by bots (for bots), the conversation examines what organizations might gain (and lose) as AI becomes embedded in daily work.