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Elastic Observability

📑 5 slides 👁 3 views 📅 10/6/2026
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Observability with Elastic

Elastic Observability unifies logs, metrics, traces, and user experience data in one searchable platform.

Observability with Elastic
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Unify the Four Signals

  • Logs record discrete events, while metrics track numerical measurements such as latency and CPU usage.
  • Distributed traces follow requests across services, revealing where delays or errors occur along a path.
  • User experience monitoring captures page performance and real user journeys across browsers and devices.
  • Correlating all four signals connects infrastructure symptoms to service behavior and customer impact.
Unify the Four Signals
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Investigate Faster with APM

  • Application Performance Monitoring maps service dependencies and highlights latency, throughput, and error rates.
  • Trace waterfalls let engineers inspect individual requests and locate slow database calls or downstream services.
  • Service-level objectives define reliability targets, such as keeping 99.9% of requests within a latency threshold.
  • Alerting can notify teams when error budgets burn too quickly or key performance indicators breach limits.
Investigate Faster with APM
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Scale Search and Detection

  • Elasticsearch indexes operational data for fast filtering, aggregation, and investigation across large datasets.
  • Elastic Agent and integrations collect telemetry from cloud services, containers, hosts, and applications.
  • Kibana visualizations help teams explore trends, compare time ranges, and build role-specific operational views.
  • Shared analytics can connect observability workflows with security investigations using the same data platform.
Scale Search and Detection
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Turn Insight into Resilience

  • Start with priority services, define service-level objectives, and instrument the paths most critical to users.
  • Use consistent data collection and context to make telemetry comparable across teams and environments.
  • Combine actionable alerts with trace and log investigation so responders can move from detection to cause.
  • Review incident patterns regularly, reduce recurring failure sources, and measure reliability improvements over time.
Turn Insight into Resilience
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