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Logstash

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Centralize, transform, and ship your data with a powerful processing pipeline

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About Logstash

Logstash is a server-side data processing pipeline designed to ingest, parse, and transform data from diverse sources before routing it to various destinations. It supports continuous streaming ingestion from logs, metrics, web applications, data stores, and cloud services, enabling enterprises to unify scattered data for comprehensive analysis. The platform dynamically structures unstructured data using advanced filters like grok, anonymizes sensitive information, and standardizes data formats to enhance downstream analytics and business intelligence.

Built for enterprises requiring robust observability and data integration, Logstash offers a pluggable architecture with over 200 plugins, allowing customization and extension to meet unique pipeline requirements. It ensures data durability with persistent queues and dead letter queues, guaranteeing at-least-once delivery even during failures. Centralized management through a UI simplifies orchestration, while monitoring tools provide visibility into pipeline performance and bottlenecks. Logstash integrates seamlessly with Elasticsearch but supports multiple output destinations, offering flexibility in data storage and analysis strategies.

Key Capabilities

  • Dynamic ingestion from diverse data sources
  • Real-time data parsing and transformation
  • Extensible plugin framework with 200+ plugins
  • Persistent queues for reliable event delivery
  • Centralized pipeline management and monitoring

Integrations

ElasticsearchAWS ServicesVarious data stores

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

www.elastic.co/logstash
CategoryObservability & Monitoring
PricingSubscription
DeploymentSaaS
Target SizeEnterprise