Elastic Ramen: A CLI harness for SRE investigation and remediation
Exploring Elastic Ramen, a CLI harness that brings Agent Builder conversations, skills, and tools into the terminal so engineers can move from investigation to remediation in a single thread.
Agentic Powered Kubernetes Investigations with Elastic Observability and MCP
See how Elastic's Agentic powered Kubernetes observability uses MCP App, agent skills to let agents investigate clusters, detect anomalies, and automate root cause analysis.
Agent Skills for Elastic Observability
Learn how Agent Skills for Elastic Observability help SREs and developers run observability workflows through natural language to instrument apps with OpenTelemetry, search logs, manage SLOs, understand service health, and help with LLM observability.
Using Azure SRE Agent and Elasticsearch to boost SRE productivity
Learn how to integrate the Azure SRE Agent with Elasticsearch to benefit from AI-driven autonomous operations, smarter detection, and proactive prevention.
How to Troubleshoot Kubernetes Pod Restarts & OOMKilled Events with Agent Builder
Learn how to immediately troubleshoot Kubernetes pod restarts and OOMKilled events with Elastic Agent Builder. We’ll show how to detect, analyze, and remediate failures.
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.
AIOps with Elastic Observability: Modern AIOps & Log Intelligence
Exploring modern AIOps capabilities, including anomaly detection, log intelligence, and log analysis & categorization with Elastic Observability.
Introducing Streams for Observability: Your first stop for investigations
Introducing Elastic Streams, an new AI observability feature that transforms logs from a noisy and expensive data source into a primary investigation signal.
AI-driven incident response with logs: A technical deep dive in Elastic Observability
How Elastic combines ML anomaly detection, ES|QL, and the AI Assistant to accelerate incident response using logs.
The next evolution of observability: unifying data with OpenTelemetry and generative AI
Generative AI and machine learning are revolutionizing observability, but siloed data hinders their true potential. This article explores how to break down data silos by unifying logs, metrics, and traces with OpenTelemetry, unlocking the full power of GenAI for natural language investigations, automated root cause analysis, and proactive issue resolution.
Using Anomaly Detection in Elastic Cloud to Identify Fraud
Follow the step-by-step process of using Elastic Cloud’s anomaly detection to analyze example credit card transactions to detect potential fraud.