Streams Articles
Exploring metrics from a new time series data stream in Discover
Discover helps you see and understand the metrics in a time series stream, with no manual work required. Once you see that your metrics data is flowing, you're ready to build dashboards, alerts, SLOs, and more.
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.
Process Kubernetes logs with ease using Elastic Streams
Learn how to process Kubernetes logs with Elastic Streams using conditional blocks, AI-generated Grok patterns, and selective drops to reduce noise and storage cost.
Log Processing UX Design in Elastic Streams
Explore log processing in Elastic Streams and the design decisions behind the Processing UX that make log data more accessible, consistent, and actionable.
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.
AIOps with Elastic Observability: Modern AIOps & Log Intelligence
Exploring modern AIOps capabilities, including anomaly detection, log intelligence, and log analysis & categorization with Elastic Observability.
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.