Search, analyze, and act with log analytics

Logs are everywhere, record everything, and are the richest source of context. Elastic cuts through the noise with agentic AI — turning messy, unstructured logs into operational answers.

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Goodbye log swamp, hello Streams!

Forget grepping through terabytes of logs

Streams automatically detects patterns humans can't see, parsing, partitioning, and structuring logs and surfacing significant events with AI — so you can focus on problem solving, not pipelines.

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  • Old way:

    Chaotic log lines, fragile pipelines, messy schemas, wasted time.

  • New way:

    Streams does the heavy lifting, so you can focus on resolving incidents, not onboarding logs.

GUIDED DEMO

From raw logs to real answers

Logs tell you what happened. Elastic helps you understand why.

DIFFERENTIATORS

More data, more problems? Not anymore.

Most logging solutions weren't built for today's scale. Elastic is. Our architecture is designed to handle petabytes of logs with indexing, compression, and efficient data storage — along with AI-driven analysis — so you have all the telemetry you need, without breaking the bank.

  • LOG PARSING AND STRUCTURING

    Tame the logstream

    Turn chaotic log lines into clean, structured fields. Streams parses, partitions, and maps your logs using AI so you can focus on solving problems — not wrangling pipelines. Schema on read, or write.

  • ADVANCED ANALYTICS

    One query to rule them all

    Filter, transform, join, correlate, and aggregate logs. ES|QL's piped syntax puts complex data analysis at your fingertips. Faster queries. Precise answers. Less noise.

  • AGENTIC AI & ML

    Cut through the noise

    Agentic AI in Elastic goes well beyond answering questions. It automatically surfaces significant events, generates queries, builds dashboards, and even runs machine learning jobs — all through natural language.

  • CONTEXT-AWARE AI ASSISTANT

    Bolster team expertise

    Elastic AI Assistant interprets log messages, investigates anomalies, and pulls answers from your organizational knowledgebases using retrieval augmented generation (RAG). Get root cause, remediation steps, and even the right runbook.

  • LOGS OPTIMIZATION WITH LOGSDB

    Stretch your storage, not your costs

    Use Elasticsearch logsdb index mode for high-volume logging. Get smarter index sorting and denser compression — up to 70% smaller footprint without sacrificing speed or searchability.

  • OPEN SOURCE & OTEL FIRST

    Open by design

    Built on Elasticsearch, the world’s most popular open source search engine, Elastic gives you flexibility and control over your logs and uses standardized OpenTelemetry (OTel) semantic conventions that make it easier to filter, search, and connect the dots at scale.

CAPABILITIES

Billions of logs, one clear picture

Elastic ingests logs from anywhere and automatically groups them into patterns, highlights anomalies, and pinpoints spikes — so you get answers, not overload.

Streams brings AI-assisted log management and processing (incl. parsing, partitioning, and proactive event detection) into a simple, intuitive workflow.

  • Hundreds of out-of-the-box integrations

    No matter the source or format, Elastic offers 450+ integrations to ingest logs and metrics from cloud services, CI/CD pipelines, databases, Kubernetes, and more.

  • Automatic ingest

    Elastic's AI-driven auto-import generates custom ingest pipelines for unstructured data. It maps raw data to ECS fields, enriches context, and categorizes events — cutting ingest time from days to minutes for bespoke use cases.

  • Standardized on OpenTelemetry

    Since Elastic donated Elastic Common Schema (ECS) to OTel Semantic Conventions, all logs are automatically normalized to the OTel schema, so you get rich out-of-the-box dashboards, consistent log fields, and trace-log-metric correlation.

See why companies like yours choose Elastic Observability

Get log analytics at scale to turn messy logs into operational answers.

  • Customer spotlight

    Comcast ingests 400 terabytes of data daily with Elastic to monitor services and accelerate root cause analysis ensuring a top-notch customer experience.

  • Customer spotlight

    Discover reduced storage costs by 50% and improved data retrieval times by implementing a centralized logging platform with Elastic.

  • Customer spotlight

    Informatica cut costs and reduced MTTR by migrating its entire logging workload to Elastic for 100+ applications and 300+ Kubernetes clusters.

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