
observability-onboarding
Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the required OTLP configuration, and then verify with ESQL that traces, metrics, and logs actually arrive under the expected service name. Use when adding observability to a service, migrating off the classic Elastic APM agent, or debugging why an instrumented service is not showing up in Elastic.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/elastic/agent-skills --skill observability-onboarding- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads observability-onboarding automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Observability Onboarding
Instrument an application with the Elastic Distribution of OpenTelemetry (EDOT) and prove the telemetry arrived. The instrumentation change is only half the job: an application can be configured perfectly and still emit nothing, so this skill ends by querying Elasticsearch for the service's data rather than declaring success from a config diff.
The scope is application instrumentation with the EDOT SDKs. Deploying an EDOT Collector, collecting logs from files or infrastructure, and onboarding data through Elastic Agent, Fleet, or integration packages are separate ingest paths that this skill does not cover.
Once telemetry is flowing, use the observability-sre-triage skill to assess service health, observability-k8s-investigation for Kubernetes-layer failures, observability-service-reliability to define SLOs and alerts on the new signals, and observability-llm-obs for GenAI and agentic workloads.
<!-- begin-partial: preamble -->Environment Configuration
This skill executes Elasticsearch operations through the elastic CLI. If the
elastic CLI is not installed, tell the user what it is needed for. Do
not guess credentials, call the HTTP API directly, or attempt other workarounds.
This skill references operations in HTTP-shorthand form (e.g., GET /, GET /_cat/indices, GET /{index}/_mapping,
GET /{index}/_settings/index.mode, POST /_query). The Operations table at the end of this document
maps each shorthand to the equivalent elastic CLI command — always use the CLI rather than calling the HTTP API
directly.
Analysis without cluster access
The CLI check above gates querying the cluster — it does not gate analysis. When the user has already supplied the evidence in their question (metric values, counts, status reasons, log lines, alert payloads, configuration), reason from that evidence and deliver the conclusion.
When you genuinely do need data the user has not provided, still say what you would check and how — name the specific query, index, and field that would settle the question — and then ask for CLI setup. An answer that names the check is useful without a cluster; one that only asks for setup is not.
Only the verification step in this skill talks to Elasticsearch; it runs through POST /_query. Everything else edits
application code and configuration in the user's workspace.
Jobs to be done
- Decide whether a service needs fresh instrumentation or a migration off the classic Elastic APM agent
- Apply the EDOT configuration for the service's language and runtime
- Point telemetry at the correct OTLP destination and reject APM Server URLs
- Verify that traces, metrics, and logs land in Elasticsearch under the expected
service.name - Diagnose an instrumented service that is reporting nothing, or reporting from the wrong agent
Output discipline
Applies to every response produced under this skill.
- Make the edit. When the language, the current agent, and the destination are known, apply the change. Do not narrate a plan and ask for approval on each file; ask only when a decision genuinely cannot be inferred.
- Do not dump documentation. Link the relevant page and state the two or three rules that apply to this service. Pasting a whole setup guide into the reply is a defect.
- Verify before reporting success. "Configured correctly" is not the finding; "telemetry is arriving" is. If verification returns no rows, say the service is not reporting and give the most likely cause.
- Do not speculate past the evidence. If the verification query is empty, that is one fact with several possible causes — name the likeliest and how to distinguish it, rather than asserting one.
- End on the result. No trailing offers such as "want me to set up dashboards next?". Follow-up work belongs in a recommendations list, phrased as a recommendation.
Process: route the request
-
Identify the language and runtime. Read the project's dependency manifest —
pom.xmlorbuild.gradle,requirements.txtorpyproject.toml,*.csproj,composer.json. The decision: which language reference to open. Also note how the process starts (a DockerfileENTRYPOINT, a Kubernetes pod spec, a systemd unit), because that is where the agent attaches and where the environment variables must be set.Runtime Reference How EDOT attaches Java references/java.md -javaagent:flag orJAVA_TOOL_OPTIONSPython references/python.md opentelemetry-instrumententrypoint wrapper.NET references/dotnet.md builder.AddElasticOpenTelemetry()in startupPHP references/php.md native extension via OS package, then full process restart For a language not listed, follow the same shape — the required configuration and the following verification step are language-independent — and use the upstream EDOT SDK documentation for the attach mechanism.
-
Detect a classic Elastic APM agent. The decision: instrument path or migrate path. Each language reference lists the markers; the common ones are
ELASTIC_APM_*environment variables and a language-specific Elastic APM package. If any marker is present, take the migrate path — do not layer EDOT on top. -
Resolve the telemetry destination. The decision: which URL goes in
OTEL_EXPORTER_OTLP_ENDPOINT. Two valid answers, and one common wrong one:- The Elastic managed OTLP endpoint for the deployment or Serverless project. Correct default.
- An EDOT Collector the user already runs, when telemetry must be enriched, sampled, or fanned out before it reaches Elastic.
- Never an APM Server URL. If the candidate contains
apm-server, ends in port 8200, or has an/intake/v2/eventspath, it is the classic ingest endpoint and EDOT cannot use it. On the migrate path this is the single most common mistake — the oldELASTIC_APM_SERVER_URLvalue must not be carried over.
-
Apply the shared configuration below, then the language reference. The shared rules are the same for every runtime; the reference covers only what is language-specific.
-
Verify. Do not report success from the configuration alone — run the verification process.
Required configuration
Identical across every EDOT SDK. Set exactly three environment variables:
| Variable | Value |
|---|---|
OTEL_SERVICE_NAME | The service's name. This becomes service.name in Elasticsearch and is how every other Observability skill finds it. |
OTEL_EXPORTER_OTLP_ENDPOINT | The managed OTLP endpoint or EDOT Collector URL resolved in step 3. |
OTEL_EXPORTER_OTLP_HEADERS | The credential, in Authorization=ApiKey <key> or Authorization=Bearer <token> form. |
Two rules that hold for every language:
- Do not set
OTEL_TRACES_EXPORTER,OTEL_METRICS_EXPORTER, orOTEL_LOGS_EXPORTER. The defaults are already correct. Setting them is the usual reason a service reports traces but no metrics or logs. - Never run a classic Elastic APM agent and EDOT together on the same process. They double-instrument and produce inconsistent traces. Removal and replacement belong in the same change.
Process: verify telemetry arrives
Run this after every instrument or migrate change, and as the entry point when a user reports that an instrumented service is missing. Give the pipeline a minute or two after the deployment restarts before concluding anything.
-
Confirm documents are landing for the service. Query
POST /_query, scoping to the service name that was set inOTEL_SERVICE_NAME. The decision: is anything arriving at all, and across which signals.FROM traces-*,metrics-*,logs-* METADATA _index | WHERE @timestamp > NOW() - 15 minutes AND service.name == "<service>" | STATS docs = COUNT(*), last_seen = MAX(@timestamp) BY _index | SORT docs DESC | LIMIT 20A healthy result has rows from a traces data stream, a metrics data stream, and a logs data stream, with
last_seeninside the last minute or two. Missing signals are diagnostic, not cosmetic: traces only, with no metrics or logs, usually means anOTEL_*_EXPORTERvariable was set. -
If nothing came back, find out what name the service is reporting under. An empty result is ambiguous between "no telemetry at all" and "telemetry arriving under a different name" — a typo in
OTEL_SERVICE_NAME, or the SDK default ofunknown_service. Drop the service filter and look at what is actually arriving.FROM traces-*,metrics-*,logs-* | WHERE @timestamp > NOW() - 15 minutes | STATS docs = COUNT(*), last_seen = MAX(@timestamp) BY service.name | SORT docs DESC | LIMIT 25The decision: if the service appears under an unexpected name, fix
OTEL_SERVICE_NAME. If it does not appear at all, the exporter is not reaching the destination — go back to step 3 of the routing process and re-check the endpoint and credential. -
Confirm EDOT is the reporter, not something else. This is what distinguishes a correct migration from a half-finished one, and vanilla OpenTelemetry from EDOT.
FROM traces-* | WHERE @timestamp > NOW() - 15 minutes AND service.name == "<service>" | STATS spans = COUNT(*) BY telemetry.sdk.language, telemetry.sdk.name, telemetry.distro.name, telemetry.distro.version | SORT spans DESC | LIMIT 10telemetry.distro.nameiselasticwhen an EDOT SDK is reporting. A null distro withtelemetry.sdk.name == "opentelemetry"means the application is on the upstream OpenTelemetry SDK rather than EDOT. Two rows for one service — one with the Elastic distro and one without, or two differenttelemetry.sdk.languagevalues — means more than one agent is attached, or an old deployment is still running. -
Diagnose from the shape of the result.
Verification result Most likely cause No rows for the service, and the name is absent everywhere Exporter never reached the destination — wrong endpoint or bad credential Service appears under a different name OTEL_SERVICE_NAMEunset or misspelled; SDK fell back to its defaultTraces only, no metrics or logs An OTEL_*_EXPORTERvariable was set and overrode the defaultRows present but last_seenis staleThe process exited, or the deployment was rolled back Two distro values for one service Classic agent and EDOT both attached, or an old replica still running If the field names above are absent from the mapping, confirm what is available with
GET /<index>/_mappingbefore concluding the telemetry is wrong.
Examples
"Add observability to my Spring Boot service" — read pom.xml to confirm Java, check for co.elastic.apm and
ELASTIC_APM_* markers, and finding none, take the instrument path in references/java.md. Add the -javaagent flag
to the container entrypoint, set the three environment variables against the managed OTLP endpoint, then run the
verification query and report which signals arrived.
"We're moving off the Elastic APM agent to EDOT, we're on .NET" — this is the migrate path. Remove the
Elastic.Apm.* packages, the AddAllElasticApm() call, and the ElasticApm block from appsettings.json in the same
change that adds Elastic.OpenTelemetry and builder.AddElasticOpenTelemetry(). Translate the configuration rather
than copying it — in particular do not reuse ELASTIC_APM_SERVER_URLS as the OTLP endpoint. Verify with step 3 and
confirm exactly one distro is reporting.
"I instrumented my Python app but nothing shows up in Elastic" — start at the verification process, not at the
configuration. Run step 1; if it is empty, run step 2 to see whether the service is reporting under a different name. If
the service is absent entirely, the two candidates are an unwrapped entrypoint (opentelemetry-instrument missing) and
an endpoint still pointing at APM Server. Check the entrypoint first — it is the more common of the two.
"Our service sends traces but we have no logs or metrics" — this is the OTEL_*_EXPORTER signature. Confirm it with
step 1, which will show a traces data stream and nothing else, then remove the OTEL_TRACES_EXPORTER,
OTEL_METRICS_EXPORTER, or OTEL_LOGS_EXPORTER variable from the deployment and re-verify.
Guidelines
- Read the setup or migration guide for the language before editing. The per-language references link the authoritative page; the attach mechanism differs enough between runtimes that pattern-matching from another language produces broken configurations.
- Removal and replacement go in one change. A window where both the classic agent and EDOT are attached produces double-instrumented traces that are worse than either alone.
- Never carry the classic server URL forward.
ELASTIC_APM_SERVER_URLpoints at APM Server;OTEL_EXPORTER_OTLP_ENDPOINTmust point at the managed OTLP endpoint or an EDOT Collector. - Set the three variables and no more. Additional
OTEL_*tuning is occasionally justified, but the exporter variables specifically should be left at their defaults. - Treat an empty verification result as unknown, not as failure of a specific component. Distinguish the causes with step 2 before recommending a fix.
- Never place a credential in the skill's output or in a committed file.
OTEL_EXPORTER_OTLP_HEADERSbelongs in the deployment's secret mechanism. - Attribution: the per-language EDOT guidance consolidated here originates with the
apm-agent-devsteam.
Operations
| HTTP API (shorthand) | elastic CLI command |
|---|---|
GET / | elastic es info |
POST /_query | elastic es esql query --format tsv --query '<esql>' |
GET /<index>/_mapping | elastic es indices get-mapping --index '<index>' |
FAQ
What does the observability-onboarding skill do?
Onboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the required OTLP configuration, and then verify with ESQL that traces, metrics, and logs actually arrive under the expected service name. Use when adding observability to a service, migrating off the classic Elastic APM agent, or debugging why an instrumented service is not showing up in Elastic.
How do I install observability-onboarding?
Run npx skills add https://github.com/elastic/agent-skills --skill observability-onboarding in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/observability-onboarding/ (personal) or .claude/skills/observability-onboarding/ (project).
Which AI agents can use observability-onboarding?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is observability-onboarding safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains observability-onboarding?
It is published by elastic in elastic/agent-skills. It has 1,033 recorded installs.
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