Docker image for Logstash 1.4.5 with optional Elasticsearch 1.7.0 and Kibana 3.1.2 integration.
pblittle/docker-logstash is a Docker image for running Logstash 1.4.5, a data processing pipeline for ingesting, transforming, and outputting logs and events. It provides a containerized solution for log management, supporting various deployment configurations from a full ELK stack (Logstash, Elasticsearch, Kibana) to individual components. The image emphasizes flexibility and ease of deployment within Docker-based environments.
Developers and DevOps engineers managing log processing pipelines in Docker containers, particularly those needing a configurable, all-in-one or modular ELK stack setup for testing, development, or production-like environments.
Developers choose this image for its high configurability, allowing them to run the full ELK stack or specific components (agent, config test, web) in a single container with sensible defaults. It offers flexible configuration loading via URLs or mounted volumes and supports multiple Elasticsearch integration methods, including linked containers, external servers, or an embedded instance.
Docker image for Logstash 1.4
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Allows running specific components like agent-only, configtest, or web-only modes by passing arguments, providing flexibility for different use cases without full stack overhead.
Supports loading Logstash configs via URL downloads or mounted host volumes, enabling easy updates and customization as documented in the configuration section.
Default run command starts Logstash, Elasticsearch, and Kibana in a single container, offering a complete logging solution with minimal setup for testing or development.
Integrates with linked containers, external servers, or an embedded instance, with environment variable support for seamless configuration, as shown in the Elasticsearch server integration section.
Based on Logstash 1.4.5, Elasticsearch 1.7.0, and Kibana 3.1.2, which are severely outdated and lack modern features, security patches, and compatibility with newer ecosystems.
The README explicitly warns that the embedded Elasticsearch server is not designed for production use, limiting deployment scenarios to development or testing only.
Requires in-depth knowledge of Logstash config syntax and Docker networking/volumes, which can be challenging for those new to either technology, with limited guidance for beginners.