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.
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.
David Hope- Streams Demo-FINAL
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.
Elastic Observability
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Elastic Observability allows you to centralize and search through petabytes of logs, easily.
Bring your data. We'll do the rest.
STEP 1: Ingest anything — within minutes.
STEP 2: Query and analyze any data — structured or unstructured.
STEP 3: Detect significant events — AI-driven investigations quickly turn data into actions.
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.
AI-driven log processing with Streams
Automatically organize data into logical streams, applying parsing, partitioning, field extraction, and lifecycle policies with minimal manual setup.
Significant events (Streams)
Cut through log volume and speed investigations with agentic AI, automatically highlighting "features" to keep an eye on, such as critical errors, anomalies, and system changes.
Log categorization
Elastic automatically groups millions of similar log lines into categories for faster triage.
Pattern analysis
Automatic out-of-the-box machine learning is applied to every log message for quick anomaly detection and pattern analysis. Anomalies are surfaced when log rates fall outside expected patterns, such as sudden drops indicating service failure.
Log rate spikes
Log rate analysis is automatically run on all log data to surface spikes. Get a description of the issue with recommendations on how to proceed, or launch a chat with the Observability AI Assistant to go deeper into your investigation.
ES|QL query engine
Execute lightning-fast queries across structured or unstructured data to filter, transform, and analyze petabytes of logs. Use the AI Assistant to generate complex queries from natural language prompts.
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.
Discover reduced storage costs by 50% and improved data retrieval times by implementing a centralized logging platform with Elastic.
Informatica cut costs and reduced MTTR by migrating its entire logging workload to Elastic for 100+ applications and 300+ Kubernetes clusters.
Leading the future of observability
See why Elastic was named a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms.