aws-observability

от aws

Создаёт, настраивает, отлаживает и оптимизирует наблюдаемость AWS с помощью CloudWatch (Log Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail и ADOT (AWS…

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AWS Observability

Overview

Domain expertise for AWS observability across metrics, logs, and traces, covering the full lifecycle: enabling/onboarding a service to Application Signals using ADOT (AWS Distro for OpenTelemetry) auto-instrumentation SDKs and ServiceEvents — making the service show up in Application Signals — on EC2, ECS, EKS, and Lambda in Python, Node.js, Java, and .NET.

Works best with the AWS MCP server — enables running CLI commands, querying CloudWatch, and validating configurations directly. All guidance also works with standard AWS CLI access.

Note: Reference files contain specific runtime versions, quota values, and feature matrices that may change. When precision matters (e.g., deploying to production, choosing a runtime, or checking a quota), confirm values against current AWS documentation rather than relying solely on the values in these files.

Routing

User need	Action
Enabling/onboarding a service to Application Signals (auto-instrumentation)	Read application-signals-onboarding.md
Propagating ServiceEvents git/deployment metadata through CI/CD	Read application-signals-cicd-metadata.md
Per-platform/per-language enablement steps	Read the matching `references/appsignals-guides/<platform>-<language>.md` (e.g. eks-python.md)
Writing Log Insights queries	Read log-insights.md
Configuring alarms (metric, composite, anomaly)	Read alarms.md
Publishing custom metrics or using EMF	Read metrics.md
Setting up X-Ray tracing or ADOT	Read tracing.md
Building dashboards	Read dashboards.md
Debugging observability issues	Read troubleshooting.md — starts with the 5 most common fixes
Debugging canary failures	Read synthetics.md — see Common failures table
CloudTrail operational auditing	Read cloudtrail.md
Setting up Lambda monitoring with CDK	Use alarm-template.ts as a starting point
Creating synthetic canaries	Read synthetics.md
Configuring ADOT collector	Use otel-config.yaml as a starting point
Debugging a running service with breakpoints/snapshots — Dynamic Instrumentation (modifies live services and capture live data)	Read dynamic-instrumentation.md in full before acting. Confirm with the user before any create/delete, and narrate before significant actions: observation → hypothesis → proposed action → expected result. Diagnosing running-service root cause from source/code inspection. Source inspection alone identifies hypotheses, not confirmed root causes. Keep suspected causes tentative until runtime evidence confirms them.
Spans multiple areas	Read the most specific reference first, then consult others as needed

Files

File	Content
application-signals-onboarding.md	Enable Application Signals auto-instrumentation: EKS add-on, CloudWatch Agent IAM, OTLP endpoints, ServiceEvents env vars, Dynamic Instrumentation — two-tier scope by platform/language
application-signals-cicd-metadata.md	ServiceEvents git & deployment metadata propagation through CI/CD (the 5 `OTEL_AWS_SERVICE_EVENTS_*` vars)
`references/appsignals-guides/` (e.g. eks-python.md)	16 per-platform × per-language enablement guides (EC2/ECS/EKS/Lambda × Python/Node.js/Java/.NET)
alarms.md	Metric, composite, anomaly detection alarms — configuration, constraints, recommended defaults
log-insights.md	Complete query syntax, commands, functions, known issues, reusable query library
metrics.md	Custom metrics, EMF spec, metric filters, high-resolution, retention
tracing.md	X-Ray → ADOT migration, sampling rules, annotations vs metadata, collector config
dashboards.md	Widget types, cross-account/region, dynamic labels, sharing
troubleshooting.md	Error → cause → fix for all observability services
cloudtrail.md	Operational auditing, event types, S3+Athena queries
synthetics.md	Canary runtime/blueprint constraints, VPC networking, common failures
alarm-template.ts	Best-practice CDK Lambda monitoring (alarms + dashboard)
otel-config.yaml	ADOT collector config for X-Ray traces + CloudWatch EMF metrics
dynamic-instrumentation.md	Dynamic Instrumentation debugging loop — breakpoints/probes on live code, snapshot capture + correlation analysis, create/delete gating, snapshot PII handling. Runs via `scripts/di_instrumentation.py` + `scripts/di_snapshots.py`.