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ELK Stack

Monitor app performance, ingest/process data from multiple sources with logstash, quickly search/filter data with Elasticsearch.

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What is ELK Stack?

The ELK Stack is a collection of three open-source tools for collecting, processing, and analysing data at scale. Elasticsearch provides fast search and analytics capabilities across large datasets. Logstash ingests and transforms data from multiple sources into a standardised format. Kibana visualises the data, making it easier to spot patterns and troubleshoot issues. Together, they form a complete logging and monitoring solution for applications and infrastructure. The stack is popular with development teams, DevOps engineers, and system administrators who need visibility into how their systems are performing. It's particularly useful for organisations handling large volumes of logs and metrics from distributed systems.

Key features

Data ingestion from multiple sources

Logstash collects data from applications, servers, and services across your infrastructure

Full-text search and filtering

Elasticsearch indexes data for rapid querying, allowing you to find specific log entries in seconds

Real-time dashboards and visualisation

Kibana creates customisable dashboards to display metrics, logs, and alerts

Log parsing and transformation

Logstash filters and enriches raw data before it's stored, making it more useful for analysis

Scalability

Handles large volumes of data across distributed clusters, suitable for enterprise-scale deployments

Pros & cons

Advantages

  • Open-source and free to use, with no licensing costs for basic deployments
  • Powerful search capabilities make it easy to find specific events in massive log files quickly
  • Well-documented with a large community, so finding answers and examples is straightforward
  • Flexible data pipeline allows you to process and transform data from almost any source
  • Widely adopted, so integrations and third-party tools are readily available

Limitations

  • Requires significant setup and configuration expertise; it's not a plug-and-play solution for beginners
  • Infrastructure costs can grow quickly when handling very large data volumes, particularly for storage and compute
  • The learning curve is steep, especially for mastering Logstash pipeline configuration and Elasticsearch query syntax

Use cases

Application performance monitoring: Track application logs, errors, and performance metrics in real-time

Infrastructure monitoring: Collect and analyse logs from servers, containers, and cloud infrastructure

Security and compliance: Ingest security logs to detect anomalies and maintain audit trails

Troubleshooting production issues: Search through logs to identify the root cause of application failures

Business analytics: Process and visualise business events and user behaviour data

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Pricing

Free

Free

Open-source versions of Elasticsearch, Logstash, and Kibana with core functionality; suitable for development and small-scale deployments

Elastic Cloud Standard

Varies by usage

Managed Elasticsearch with automatic scaling, backup, and updates; includes Kibana and basic features

Elastic Cloud Gold

Varies by usage

Advanced features including machine learning, alerting, and enhanced security options

Elastic Cloud Platinum

Varies by usage

All features including advanced security, custom roles, and enterprise support

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Try ELK Stack free
  • Free plan available
  • No credit card