GenAI Articles
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.
Automated log parsing in Streams with ML
Learn how a hybrid ML approach achieved 94% log parsing and 91% log partitioning accuracy through automation experiments with log format fingerprinting in Streams.
Windows Event Log Monitoring with OpenTelemetry & Elastic Streams
Learn how to enhance Windows Event Log monitoring with OpenTelemetry for standardized ingestion and Elastic Streams for smart partitioning and analysis.
Streams Processing: Stop Fighting with Grok. Parse Your Logs in Streams.
Learn how Streams Processing works under the hood and how to use it to build, test, and deploy parsing logic on live data quickly.
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.
Elastic Observability: Streams Data Quality and Failure Store Insights
Discover how the Streams a new AI driven Elastic Observability feature help manage data quality with a failure store to help you monitor, troubleshoot, and retain high-quality data.
Reconciliation in Elastic Streams: A Robust Architecture Deep Dive
Learn how Elastic's engineering team refactored Streams using a reconciliation model inspired by Kubernetes & React to build a robust, extensible, and debuggable system.
How Streams in Elastic Observability Simplifies Retention Management
Learn how Streams simplifies retention management in Elasticsearch with a unified view to monitor, visualize, and control data lifecycles using DSL or ILM.
Live logs and prosper: fixing a fundamental flaw in observability
Stop chasing symptoms. Learn how Streams, in Elastic Observability fixes the fundamental flaw in observability, using AI to proactively find the 'why' in your logs for faster resolution.
Automating User Journeys for Synthetic Monitoring with MCP in Elastic
This post explores how you can automatically create user journeys with Synthetic Monitoring in Elastic Observability, TypeScript, and FastMCP, and walks through the app and its workflow.
LLM Observability with Elastic’s Azure AI Foundry Integration
Gain comprehensive visibility into your generative AI workloads on Azure AI Foundry. Monitor token usage, latency, and cost, while leveraging built-in content filters to ensure safe and compliant application behavior—all with out-of-the-box observability powered by Elastic.
Optimizing Spend and Content Moderation on Azure OpenAI with Elastic
We have added further capabilities to the Azure OpenAI GA package, which now offer content filter monitoring and enhancements to the billing insights!