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Site title: OpenTelemetry Native Observability · Dash0

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Resource charts show which workloads consume resources. Profiles show the code paths behind that consumption.

Dash0 now has a Profiling Explorer for investigating OpenTelemetry profiles. Analyze CPU time, memory allocations, and other measurements in the same explorer. Dash0 supports all OpenTelemetry profile types; the types available in your dataset depend on what yo...


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Traces tell you which request was slow. Profiles tell you which function burned the CPU time. Until now, getting profiles from Kubernetes into Dash0 meant deploying an eBPF profiler yourself and wiring it up to the collectors of the Dash0 Operator.

Starting with version


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Coding agents made writing a change cheap. Reviewing it did not get cheaper, so pull requests wait for a person, including the routine ones nobody needed to read line by line.

AutoMerge, now in public beta in Darkplane, takes that routine share off your reviewers. AI evaluators score each pull request against criteria you define. Each criterion returns a score from 0 t...


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Custom skills hold the procedures only your team knows, but until now they could only be written in Dash0. A change to a skill had no review, no history, and no way to roll it out the same way to every organization.

You can now define a custom skill as a Dash0Skill YAML document, keep its SKILL.md and supporting files in Git, and apply them with the Dash0 Terraform pro...


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A blank eval form asks a lot. You have to know which spans to judge, how many to sample, which model should judge them, and how to write a rubric it applies the same way every time. Most teams know what worries them, like hallucinations or users getting fed up, but not how to turn that into a prompt.

Eval templates give you the prompt. Click Create new...


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