ELKpino

ELKpino is an open-source logging and observability solution that integrates the Pino JSON logger for Node.js with the ELK stack (Elasticsearch, Logstash, and Kibana). It is designed to support high-volume, low-overhead log collection, indexing, and visualization across distributed applications.

Overview: Logs produced by Node.js applications are emitted in Pino's compact JSON format and transported to the ELK backend. Depending on deployment, logs may be ingested via Logstash or directly into Elasticsearch through lightweight transports. The Elasticsearch cluster indexes the data, while Kibana provides search interfaces and dashboards for analysis and monitoring.

Architecture: The typical ELKpino deployment comprises a Node.js application using Pino, a log-shipper or transport layer, an Elasticsearch cluster, and a Kibana instance. Optional components include Beats for light agents and Logstash pipelines for enrichment, filtering, and routing. The pipeline emphasizes high-throughput ingestion, structured fields, and secure access to the data.

Key features: high logging throughput with low overhead, structured JSON logs for easy querying, compatibility with the ELK stack, real-time search and visualization, centralized storage for logs across services, and extensible pipelines for enrichment and alerting.

Usage and status: ELKpino is used in Node.js ecosystems to reduce observability friction in large and microservice environments. As with many open-source projects, deployments vary by infrastructure and security requirements, and users typically adapt transports and pipelines to fit their data models. Documentation and community support are available in its repository and related ELK resources.

See also: ELK stack, Elasticsearch, Logstash, Kibana, Pino.