Elastic Redefines Observability with AI-Powered Streams
Streams presents a unified intelligence layer for extracting structure from messy, unstructured logs, enabling rapid root cause identification and remediation
SREs are often overwhelmed by dashboards and alerts that show what and where things are broken, but fail to reveal why. This industry-wide focus on visualizing symptoms forces engineers to manually hunt for answers. The crucial "why" is buried in logs, but their massive volume and unstructured nature have led the industry to toss them aside or treat them as lesser. This has forced teams into costly tradeoffs: either spend countless hours building complex data pipelines, drop valuable log data and risk critical visibility gaps, or log and forget.
Streams directly addresses this challenge by reimagining the entire log pipeline. It leverages the
“For too long, SREs have been forced to treat logs as a noisy, expensive last resort for investigations. Teams hunt through dashboards for what is broken, while the actual why is buried,” said
Streams can:
- Log everything, effortlessly: Ingest any log format from any source directly, with AI-driven processing making data "ready for investigation."
- Get answers, not just data: Streams surfaces "Significant Events" like critical errors and anomalies, providing prioritized starting points.
- Achieve complete, cost-effective visibility: Intelligently manage and organize data to reduce operational complexity and lower total ownership costs.
Additional Materials
- Blog: Introducing Streams for Observability: Your first stop for investigations
- Manifesto: Live logs and prosper: fixing a fundamental flaw in observability
Availability
Streams in
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