20 Datadog APM alternatives
Datadog APM: Install, instrument and analyse Datadog APM from an agent — Kubernetes and Linux Single-Step Instrumentation, service remapping, trace search and service maps. 20 agent skills do similar work, most sharing Kubernetes, Datadog and OpenTelemetry, ranked by how much they have in common with Datadog APM.
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by Grafana Labs
Grafana's official Tempo skill: stand up a tracing backend that needs nothing but object storage, then write TraceQL that finds the slow span instead of scrolling for it.
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by Elastic
Elastic's official skill for monitoring LLM and agent workloads — token cost, latency, response quality and workflow orchestration, queried with ES|QL.
Also: OpenTelemetry, Tracing
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by OpenSearch Project
Investigate OpenTelemetry traces stored in OpenSearch — slow and error spans, reconstructed trace trees, service maps, plus agent invocation and token-usage analysis.
Also: OpenTelemetry, Tracing
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by Grafana Labs
Grafana's official Alloy skill: write one collector config that carries metrics, logs, traces and profiles, validate it locally, and prove samples are actually leaving the box.
Also: Kubernetes, OpenTelemetry
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by Sentry
Sentry's official skill for instrumenting LLM and agent code — detects your installed AI SDK and wires up traces for model calls, tool use and token spend.
Also: Tracing
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by Sentry
Sentry's official router skill: detects your language or framework, then loads the matching Sentry SDK setup guide for error monitoring, tracing and session replay.
Also: Tracing
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by Agnost AI
Walks a coding agent through wiring Agnost AI conversation analytics into a Python or TypeScript app — inspecting existing OpenTelemetry first and only adding an SDK when the traces are not usable.
Also: OpenTelemetry
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by Datadog
Official Datadog skill for investigating one flaky test — pulls its history and failure pattern, categorises the root cause and recommends fixing, quarantining or escalating.
Also: Datadog
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by Datadog
Official Datadog skill that triages a failing PR pipeline, attributing every CI failure as flaky, infra or genuine regression and proposing a targeted fix.
Also: Datadog
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by Datadog
Official Datadog skill that adds or repairs Browser RUM in a web app — detects framework, router, bundler and existing setup, then wires init once and verifies the build still passes.
Also: Datadog
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by Datadog
Official Datadog skill for the pup CLI — OAuth2 login with token refresh, plus a command map covering logs, monitors, traces, metrics, incidents, SLOs, on-call, security signals and audit logs.
Also: Datadog
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by Datadog
Answer "who changed what" from Datadog Audit Trail — configuration-change forensics, API key compromise, cost-spike root cause, SOC 2/PCI evidence and AI activity audits.
Also: Datadog
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by Datadog
Search Datadog logs from an agent and keep the bill under control — query syntax, exclusion filters, log-based metrics, archives and PII scrubbing.
Also: Datadog
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by Datadog
Create and audit Datadog monitors from an agent via the pup CLI — with alerting rules that stop the usual flapping, unscoped and unowned monitors.
Also: Datadog
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by Microsoft
Microsoft's official AKS planning skill: separates the Day-0 decisions you cannot undo (networking, API server) from the Day-1 features you can switch on later.
Also: Kubernetes
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by Grafana Labs
Grafana's official Loki skill: write LogQL that returns rows instead of timeouts, ship logs through Alloy, and reason about a store that indexes labels rather than log text.
Also: Kubernetes
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by AWS Labs
Read-only diagnostics for cluster-wide SageMaker HyperPod failures on EKS or Slurm — CloudFormation errors, EFA health checks, lifecycle scripts, capacity, dangling nodes and autoscaler conflicts.
Also: Kubernetes
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by NVIDIA
NVIDIA's official skill for bringing up Dynamo inference routing — pick a router mode, enable KV-aware routing, and smoke-test the frontend endpoint before claiming anything works.
Also: Kubernetes
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by .NET Foundation
The .NET team's official skill for capturing crash dumps from CoreCLR and NativeAOT apps on Linux, macOS, Windows and inside containers — collection only, no analysis.
Also: Kubernetes
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by Google
Google's official GKE skill — when Autopilot beats Standard, Workload Identity instead of JSON keys, Autopilot's 250m CPU rounding, and private-cluster flags.
Also: Kubernetes
