Search, Analyze, and Visualize Data in Real Time

Website | Elasticsearch Docs | Kibana Docs

Elasticsearch-Kibana is an open-source stack for searching, analyzing, and visualizing data in real time. Elasticsearch offers a distributed search and analytics engine, while Kibana provides a modern UI for dashboards, visualizations, and alerting.

Deploy and Host

About Hosting Elasticsearch-Kibana

Elasticsearch and Kibana are typically deployed together to form the heart of the Elastic Stack (formerly known as ELK).

Elasticsearch indexes and stores structured or unstructured data and provides a robust search engine.
Kibana connects to Elasticsearch to visualize data through interactive dashboards, charts, and maps.

Hosting them on Railway means you don’t need to manage infrastructure. You can spin up both services using Docker images, with persistent volumes for Elasticsearch and resource-optimized containers for Kibana. This setup is ideal for observability pipelines, centralized logging, application analytics, and search features in your app stack.

Common Use Cases

Centralized Logging
Aggregate logs from applications, microservices, or cloud platforms into a searchable and visual dashboard.
Real-Time Monitoring and Alerting
Use Kibana to visualize system health, KPIs, or APM metrics in real time.
Full-Text Search for Applications
Power rich search functionality for product catalogs, documentation, support tickets, and more.

🌟 Key Features

🔍 Full-Text Search

Built on Apache Lucene, Elasticsearch delivers powerful and flexible search capabilities with filters, relevance scoring, and fuzzy queries.

📊 Interactive Dashboards

Use Kibana to explore data visually through time series graphs, pie charts, maps, and custom dashboards.

⚙️ Horizontal Scalability

Elasticsearch supports clustering and sharding for scaling across multiple nodes.

🧰 API Clients and SDKs

Official clients for Node.js, Python, Go, Java, and more — ideal for seamless integration.

🔐 Access Control (Optional)

Role-based access, encryption, and SSO are supported through Elastic commercial features or open alternatives.

Dependencies for Elasticsearch-Kibana Hosting

Persistent volume for Elasticsearch (/usr/share/elasticsearch/data)
Minimum 2GB RAM for Elasticsearch, 1GB RAM for Kibana
Railway environment with Docker support

Deployment Dependencies

Why Deploy Elasticsearch-Kibana on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying Elasticsearch-Kibana on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.