Elastic Demo Gallery

Try out this hands-on demo to learn how to bring your logs, metrics, and traces together for complete visibility into your application environment.

From zero to start, explore this 15 minute lab to master the basics and get started quickly on Elasticsearch. Learn how to ingest and parse your data with precision, explore patterns, and create interactive visualizations.

Observability 101: Lesson 1 of 4 — Learn the basics of logs and how to derive value by leveraging KQL and ES|QL, creating visualizations and anomaly detection jobs. By the end of this 15 minute Elastic Observability lab, you’ll be able to ask a question about your logs and return an answer.

Observability 101: Lesson 2 of 4 — Get started with Elastic Observability by onboarding logs, metrics and traces using Elastic Distribution for OpenTelemetry (EDOT). In this 15 minute lab, use the opentelemetry (otel) collector to provide structure and definition to logs.

Observability 101: Lesson 3 of 4 — In this 15 minute lab, use Elastic Observability to dive into a java issue with high-cpu usage using the data collected from the Elastic Distributions of OpenTelemetry (EDOT). Resolve this issue using the Elastic AI Assistant as well as leverage runbook to prevent recurrence.

Observability 101: Lesson 4 of 4 — Explore this 15 minute lab and use Elastic Observability's machine learning and AI technologies to perform Root Cause Analysis (RCA) of a customer-reported issue. Combine clues from traces and logs at scale with Elastic's AI Assistant to come to a faster resolution.

Follow the step-by-step process of using the AI Assistant for Observability to perform root cause analysis of a Service Level Objective (SLO) alert.

Test the latest AI search capabilities with AI Playground, now in Elasticsearch. Ingest your own data or use our sample data to explore how to build RAG systems, test different LLMs from various providers like OpenAI, Amazon Bedrock, Anthropic and more.