Network Analyzer Agents for Elastic
Use three Elastic Agent Builder agents and supporting ES|QL tools to analyze network health, packet evidence, Suricata findings, DNS/TLS risks, HTTP failures, and top conversations.
Get content for Kibana, Elasticsearch, Logstash and more
Elastic Content Share
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.
Use three Elastic Agent Builder agents and supporting ES|QL tools to analyze network health, packet evidence, Suricata findings, DNS/TLS risks, HTTP failures, and top conversations.
Analyze live network topology, packet inspection signals, application flows, DNS/TLS posture, and Suricata findings with reusable Kibana dashboards and Vega visualizations.
Explore ServiceNow CMDB and ITSM data faster with two Kibana dashboards for asset topology, incident priority, change activity, and people-focused operations review.
Turn Kubernetes health signals into error-budget decisions. Use these OTel SLO templates when alerts show something broke, but you need to know which workload is burning reliability budget and how urgent the response should be.
Start an incident from evidence instead of a blank chat. This RCA workflow uses Agent Builder to investigate observability alerts, create a case, and attach the reasoning trail so engineers can review the likely cause faster.
Search Labs companion app and ES|QL queries for OpenTelemetry-based search analytics, click quality, conversions, personalization, and SLO reliability analysis.
A hands-on Kubernetes observability demo with Beats manifests and a sample guestbook app for sending infrastructure and application signals into Elastic.
A community Python monitoring daemon for IBM AIX with Metricbeat/Filebeat-style outputs and Kibana dashboard bundle for AIX infrastructure.
Filebeat, ingest pipeline, Elasticsearch template, sample logs, and Kibana dashboard assets for monitoring Kafka with Elastic Stack.
A GKE and Elastic Cloud on Kubernetes observability example with Filebeat, Metricbeat, Heartbeat, guestbook manifests, and ECK deployment guidance.