Elastic Examples Kubernetes Monitoring Pack
A hands-on Kubernetes observability demo with Beats manifests and a sample guestbook app for sending infrastructure and application signals into Elastic.
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What you can do with Observability downloads
Observability examples help observability teams analyze logs, metrics, traces, uptime, and operational signals with reusable Elastic dashboards and content.
How should I use these examples?
Download the content, import it into your Elastic environment, review the saved objects or rules, and adapt the fields, filters, and visualizations to your own data.
Where should I go next?
Use the related collections below to move between dashboards, security content, observability examples, pipelines, Elasticsearch resources, and AI-assisted Elastic workflows.
Explore Elastic content
Start from a use case, solution area, or content type to find useful Elastic resources.
End-to-End Observability
Business Critical Service health across UX, CDN, origin, network, and platform—including async hops without a single shared trace.
Kubernetes Observability
Kubernetes monitoring, OpenTelemetry, SLO, EKS, and ECK resources for Elastic users.
Network Observability
Packetbeat, DNS analytics, network signals, and observability patterns for Elastic.
Telco industry
Telco-focused paths for network visibility, service reliability, Kubernetes, and security monitoring.
Kibana dashboards
Ready-to-use dashboard examples for visualizing Elasticsearch data.
Observability examples
Elastic Kafka Monitoring Example
Filebeat, ingest pipeline, Elasticsearch template, sample logs, and Kibana dashboard assets for monitoring Kafka with Elastic Stack.
Elastic Kubernetes Observability with ECK
A GKE and Elastic Cloud on Kubernetes observability example with Filebeat, Metricbeat, Heartbeat, guestbook manifests, and ECK deployment guidance.
Elastic EKS Monitoring Pack
Elastic examples for monitoring Amazon EKS with Filebeat, Metricbeat, AWS IAM policy configuration, Kubernetes manifests, and Kibana-oriented walkthroughs.
Elastic Machine Learning Recipes
Elastic examples for ML anomaly detection and analytics across IT operations, security analytics, business metrics, getting started datasets, and notebooks.