How to Build Your Own Elastic

Create secure API keys and tokens for programmatic access with fine-grained permission control.

Track and log all administrative and security-relevant actions for compliance and forensics.

Create and manage security incidents, assign cases, and track investigation progress.

Monitor and secure cloud infrastructure with posture management and cloud-native threat detection.

Define custom detection rules for threats and anomalies using YARA-L and Elastic Rule Language.

Automatically replicate indices across multiple clusters for disaster recovery and data redundancy.

Query and analyze data across multiple Elasticsearch clusters from a single search request.

Automatically optimize storage costs by moving data between hot, warm, cold, and frozen tiers based on usage patterns.

Centrally manage, update, and monitor Elastic Agents and Beats across your infrastructure.

Automatically manage data retention and performance by moving indices through warm, cold, and delete phases.

Create custom alerts based on complex conditions across logs, metrics, and traces with flexible notification channels.

Trace transactions across services to identify performance bottlenecks and errors in distributed systems.

Centralize, parse, and analyze logs from all applications and infrastructure with fast query performance.

Monitor system and application performance metrics with dynamic alerting and visualization.

Create automated alerts that trigger actions based on search results and thresholds.

Build complex aggregations to summarize, group, and analyze data across multiple dimensions.

Design pixel-perfect, real-time infographics and dynamic displays with Elastic Canvas.

Create interactive dashboards with hundreds of visualization types to explore and present data insights.

Generate PDF and PNG reports from dashboards and send them automatically on a schedule.

Use Kibana Query Language (KQL) and Lucene query syntax for powerful, flexible data exploration.

Instantly search across terabytes of structured and unstructured data with relevance tuning.

Save and reuse frequently run searches to streamline analysis and reduce repetitive work.

Query Elasticsearch data using standard SQL syntax for easier adoption and integration.

Leverage AI to detect unusual behavior and anomalies in metrics and logs without manual thresholds.

Predict future trends in metrics data using automated machine learning forecasting models.

Automatically detect anomalies, forecast trends, and identify unusual patterns in your data.

Add context to your data by enriching events with reference data from internal or external sources.

Process and transform data in flight using processors for validation, enrichment, and formatting.

Process and enrich data from multiple sources with filters, plugins, and pipelines before sending to Elasticsearch.

Lightweight data shippers that collect logs, metrics, network data, and uptime information.

Unified agent for collecting logs, metrics, and security data from endpoints and applications.