Elastic EKS Monitoring Pack
Elastic examples for monitoring Amazon EKS with Filebeat, Metricbeat, AWS IAM policy configuration, Kubernetes manifests, and Kibana-oriented walkthroughs.
Get content for Kibana, Elasticsearch, Logstash and more
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Download overview
Elastic Observability dashboards help SREs, DevOps engineers, and platform teams understand service health with logs, metrics, traces, uptime checks, APM data, Kubernetes signals, OpenTelemetry data, and SLO context.
Use this category when you need a faster start for operational monitoring, incident review, or service dashboards. Many examples expect data from Elastic Agent, Beats, APM agents, Metricbeat, Filebeat, Kubernetes integrations, or OpenTelemetry collectors. Check the expected data source before importing.
Prebuilt dashboards save time because they show useful field groupings, filters, and visual patterns. They also help teams learn how logs, metrics, and traces can support root-cause analysis in Kibana.
Related resources include Kubernetes Observability, AI root-cause workflows, Logstash pipelines, and the official Elastic Observability overview.
Observability examples work best when the data source is clear. Check whether the download expects Elastic Agent integrations, Beats modules, APM agents, Kubernetes metadata, or OpenTelemetry fields. If your environment uses different service names or labels, adapt the filters first. Then use the dashboard during a test incident or game day before relying on it in production.
Use these downloads together with service ownership and deployment context. Observability content is strongest when a dashboard helps a responder answer what changed, who is affected, and what signal should be checked next.
Use this collection
Elastic Observability examples help observability teams analyze logs, metrics, traces, uptime, and operational signals with reusable Elastic dashboards and content.
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.
Use the related collections below to move between dashboards, security content, observability examples, pipelines, Elasticsearch resources, and AI-assisted Elastic workflows.
Elastic examples for monitoring Amazon EKS with Filebeat, Metricbeat, AWS IAM policy configuration, Kubernetes manifests, and Kibana-oriented walkthroughs.
Elastic examples for ML anomaly detection and analytics across IT operations, security analytics, business metrics, getting started datasets, and notebooks.
Download the Elasticsearch Performance Troubleshooting Kit to efficiently diagnose and resolve slow query issues in your Elasticsearch environment.
Elastic Resource Optimization Dashboard to seamlessly integrate APM insights with cloud cost data for actionable resource management and cost-saving strategies
Watcher job to integrate ChatGPT API from OpenAI in Elasticsearch. Helpful to find solutions for error messages very quick.
Dashboard to observe your logs
Terraform example scripts to deploy Elastic Cloud Clusters + all necessary components in AWS and GCP
Vega visualization to show the dependencies between the different Kubernetes components in a single visualization
Kibana vega example to show how to load visualize relationships between different infrastructure and network components in vega.
Dashboard to monitor GCP resources using different metrics and logs.