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.
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.
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
One OTLP endpoint, three teams, zero routing rules: Elasticsearch Streams AI Partitioning
Stop writing log routing rules upfront. See how Streams AI Partitioning reads your data, proposes child streams, and lets you set per-team retention in minutes.
How to trace MCP server tool calls with OpenTelemetry and Elastic APM
Add OpenTelemetry tracing to an MCP server, visualize tool call performance in Elastic APM, and query the trace data from Claude Desktop using the Agent Builder MCP.
Kubernetes observability: MCP specialist agents for safer EKS triage
Scope a specialist EKS MCP agent for cluster checks while the Elastic AI Agent triages; fix a service misconfiguration using the specialist agent in a few prompts.
Kubernetes Observability from alert to root cause: Dashboards, Alerts, and Anomaly Detection with Elastic
Kubernetes observability with Elastic includes dashboards, alert rules, and ML anomaly detection for alerts with root-cause context.
How Streams Generates a Log Pipeline in Seconds
Streams generates a complete, tested log processing pipeline from a single click. Here's the two-stage mechanism behind it: deterministic fingerprinting, a reasoning agent that iterates against real data, and hard validation thresholds that enforce quality before you see the result.
Automated Reliability: The Architecture of Self-Healing Enterprises
Discover how to close the remediation gap using automation and artificial intelligence. Learn to build self-healing systems that detect, analyse, and fix infrastructure issues automatically. Improve system reliability and eliminate manual operations today.
Network monitoring with Elastic: Unifying network observability
Learn how to unify network monitoring using Elastic observability and AI. We'll showcase how to correlate network data, identify root causes and fix issues.
Agentic CI/CD: Kubernetes Deployment Gates with Elastic MCP Server
Deploy agentic CI/CD gates with Elastic MCP Server. Integrate AI agents into GitHub Actions to monitor K8s health and improve deployment reliability via Observability (O11y)
Troubleshooting your Agents and Amazon Bedrock AgentCore with Elastic Observability
Discover how to achieve end-to-end observability for Amazon Bedrock AgentCore: from tracking service health and token costs to debugging complex reasoning loops with distributed tracing.