Observability Labs
Explore Elastic Observability Labs for expert-led resources and hands-on learning. Enhance your skills and optimize your observability strategy with Elastic.
AI root cause analysis in Elastic Agent Builder that cites its evidence
The new release failed at 27.2%, the old one at 28.2%, so the deploy was never the cause; the agent worked that out in 72 seconds and handed back a trace ID for the failure that was.
Drain Vercel into Elastic: serverless observability with nothing to install
LLM tracing in Elastic APM: prompts, responses, and token counts in the span view
Your AI agent needs an alibi: Observability and audit trails for Agent Builder in Elastic
Blog
Developer insights and practical observability articles from our experts to inspire and empower your monitoring stack
From a 582ms latency spike to the team that owns it, using Kibana Discover
Getting there takes a data view, some filter pills, a KQL query and a switch to Lucene query syntax, but the part that actually names the team is one ES|QL LOOKUP JOIN against a service catalog index.
From recommendation to remediation in 4 stages: human-in-the-loop automation with Elastic Workflows
An approval gate that pauses incident response automation before the action and gives the reviewer enough evidence to decide in seconds. Whatever happens next, approved or declined, lands in one auditable record.
From alert to root cause in 3 minutes: automated root cause analysis with Elastic Agent Builder
Automated root cause analysis only works if the agent compares the incident window against the last healthy one. Skip that step and you get a summariser. The read-only skill, the scoped role and the Elastic Workflow are all here.
AI agent observability for Microsoft Foundry: two env vars, no collector
Set up LLM tracing once and every model call, tool execution and handoff from your Foundry agent arrives in Kibana as one queryable trace, with token counts on each span and code for Agent Framework, LangGraph and Node.js.
Sleep through the 3am page: automated incident response with Elastic on Red Hat OpenShift
Elastic Observability handles three routine incidents on its own: it scales, restarts or rolls back the workload, then confirms the service recovered, all with the reasoning model inside your own cluster.
OpenTelemetry Java extensions: customize traces without forking the agent
One JAR, loaded at startup by the OpenTelemetry Java agent, lets you filter health checks, rename spans, add resource attributes, and control sampling with no application code changes.
Kubernetes observability: SLO templates that turn alerts into error budgets
Two bad rollouts burned 88% of a 30-day error budget while the SLI still read 99.56%. This post adds four SLO templates that bring burn-rate tracking to the OTel-based alert rules from Part 1, no new instrumentation required.
Elastic Agent now runs as an OpenTelemetry Collector: Less memory overhead, zero config changes
Elastic Agent 9.3 sends logs, metrics and traces through one OTel Collector pipeline, running Beats integrations alongside native OTel sources in a single Fleet-managed agent.
Correlate logs, metrics, and traces in one ES|QL query
Walk through four investigations, from CPU saturation to pod memory pressure, each answered by a single query across signal types.
vLLM Prometheus metrics for self-hosted LLM tuning: TTFT, KV Cache, and GPU Utilization
Tuning a self-hosted vLLM inference using its Prometheus metrics in Elastic Observability — TTFT, KV cache, prefix caching and DCGM GPU counters
Android application monitoring with OpenTelemetry: distributed tracing from tap to backend
EDOT Android adds mobile APM to your Android app with one Gradle dependency: crash reporting, session tracking and distributed tracing visible in Kibana.
How we rebuilt the APM service map for incident time: the design story behind Observability 9.5
14 enterprise interviews, two prototype rounds, one rebuilt APM service map. The design story behind Elastic Observability 9.5.
From CrashLoopBackOff to OOMKilled with PromQL in Elasticsearch and Kibana
Use PromQL in Elasticsearch and Kibana to move from a CrashLoopBackOff alert to OOMKilled, memory versus the limit, and a verified fix.
One edit, every dashboard updated: managing Kibana observability at scale with Terraform
Define your golden-signals panels once in a shared HCL library and use for_each to generate every team's dashboard, with drift detection and git rollback built in.
Skip writing alert rules: 6 ready-made ES|QL templates ship inside the NGINX OTel integration
Elastic integrations come with alerting rule templates, each one an ES|QL query with a threshold already set. Create Elasticsearch alert rules in minutes, tune them to your traffic, and catch silent data streams early.