Elastic Demo Gallery
Little examples designed to let you explore various facets of the Elastic Stack, from Kibana dashboards and Canvas workpads to Elasticsearch SQL snippets and machine learning jobs. Because trying is better than seeing.
FILTERS
Type
Solutions
Elastic Features
Observability
Observability Overview
Try out this hands-on demo to learn how to bring your logs, metrics, and traces together for complete visibility into your application environment.
Suche
Einführung in MCP mit Elasticsearch MCP-Server
Observability
Root cause analysis with AI
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.
Suche
Run the Chatbot RAG App with OpenAI - using Docker
Observability
Getting value from logs
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
Erfassung von Logs, Metriken und Traces mit OpenTelemetry
Grundlagen der Beobachtbarkeit: Lektion 2 von 4 – Starten Sie mit Elastic Observability, indem Sie Logs, Metriken und Traces mit Elastic Distribution for OpenTelemetry (EDOT) aufnehmen. In diesem 15-minütigen Lab verwenden Sie den OpenTelemetry (OTEL) Kollektor, um Logs mit Struktur und Definition zu versehen.
Suche
Praktische Anleitung zum Erstellen einer RAG-App
Search AI 101: Lektion 4/4 – Erstellen Sie eine Retrieval-Augmented Generation (RAG) App mit der generativen KI von Elastic. Richten Sie Elastic für ein RAG-System ein und erstellen Sie einen RAG-Chatbot.
Observability
Monitoring your infrastructure with OpenTelemetry
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.
