Elastic Observability In Action: Monitoring the Modern Stack

Modern applications run on distributed systems: microservices, containers, serverless functions, Kubernetes and every layer emits signals. Elastic Observability brings all these signals together so engineers can understand what’s happening and why it’s happening across the entire stack.
In this Hyperflex internal training, participants will walk through how Elastic captures logs, metrics, traces, uptime data, and user experience analytics into a unified observability platform.
Through guided demos, hands-on walkthroughs, and real-world troubleshooting scenarios, you'll see how data flows from applications and infrastructure into Elastic, how it gets enriched and transformed, and how Elastic helps you detect, investigate, and resolve issues efficiently.
This session focuses on giving trainers the clarity and confidence to demonstrate Elastic Observability in action — from ingestion to correlation to insights.

Learning GoalsBy the end of this session, participants will:

• Understand what Elastic Observability is and how logs, metrics, and traces work together.
• Learn how Elastic collects data from apps, containers, Kubernetes, and serverless environments.
• Understand how data is ingested through Elastic Agent, integrations, and OpenTelemetry.
• Explore Logs, Metrics, APM, Uptime, and Dashboards in Kibana for day-to-day monitoring.
• Learn how Elastic Streams uses AI to automatically parse and structure raw logs with no manual pipelines.
• Understand the basics of LLM Observability for tracking prompt performance, latency, and cost.
• Learn how Elastic’s correlations, AI insights, and alerts help with incident response and root-cause analysis.

Agenda Overview

• Introduction to Elastic Observability and the three pillars (Logs, Metrics, Traces).
• Overview of the modern monitoring landscape: containers, Kubernetes, and serverless.
• Data ingestion flow: Elastic Agent, integrations, and OpenTelemetry basics.
• Guided walkthrough of Logs, Metrics, APM, Uptime, and Dashboards in Kibana.
• Deep dive into Elastic Streams for AI-powered log analysis with raw log ingestion.
• Overview of LLM Observability: tracking prompt behavior, errors, and cost.
• Real-world troubleshooting flow: correlate logs → metrics → traces → alerts using AI-assisted root-cause analysis.

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