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Elastic Observability

Unified logs, metrics, and traces powered by the Elastic Stack.

Free-Limited
Observability Monitoring Logging
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Overview

Part of the Elastic Stack, it brings together logs, metrics, and APM tracing.

Key Features

  • Elasticsearch for fast, scalable log and metric storage
  • Kibana for visualisation, dashboards, and alert management
  • Elastic APM for distributed tracing and application performance monitoring
  • Beats and Elastic Agent for lightweight data collection from any source
  • Machine learning for anomaly detection on log and metric streams
  • OpenTelemetry compatible for vendor-neutral data ingestion

Real-World Workflows

Centralised log management for microservices

  1. 1Deploy Filebeat as a DaemonSet to collect container logs from all Kubernetes nodes
  2. 2Ship logs to Elasticsearch via Logstash for parsing and enrichment
  3. 3Build Kibana dashboards to search and visualise logs by service and severity
  4. 4Set up Kibana alerts on ERROR log spikes to notify on-call via PagerDuty
  5. 5Use Lens for ad-hoc queries during incident investigation

APM tracing for a Python application

  1. 1Install the Elastic APM Python agent: pip install elastic-apm
  2. 2Configure the agent with the APM Server URL and service name
  3. 3Traces are automatically collected for Django, Flask, and HTTPX calls
  4. 4Correlate slow traces with corresponding log lines in Kibana

Getting Started

# Start Elasticsearch and Kibana with Docker Compose:
docker compose up -d
# Or install Elastic Cloud (managed):
# Visit https://cloud.elastic.co

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