Welcome

Welcome to the Logship documentation!

What's Logship?

Logship is a scalable, highly available, all-in-one platform for metrics, logging, and analytics. It's designed to be simple to host and deploy on commodity infrastructure while remaining enterprise-ready for regulated environments.

Platform at a glance

Unified observability: metrics, logs, events, traces (beta) with one storage and query engine.
Built for AOT .NET 9/10: small footprint, high throughput, predictable performance.
Open by default: self-host anywhere, keep control of your data, integrate via REST/CLI/SDKs.

Solutions

A massively scalable database and query engine for time-series and event data.
CLI and UI tools for data management, configuration, and control.
Open-source agents for metrics and logs ingestion across Windows, Linux, and container platforms.

All of this easily deployed almost anywhere. See how easy it is to start collecting on your own observability platform.

Why?

We're tired of cloud-based observability providers drawing users in with low introductory costs; meanwhile locking your data into their cloud and later charging big bills on everything they can (e.g. users, time series, alerts, resources, SSO). At Logship, we believe that your data is your data. Why wouldn’t it be? Whether it be a laptop, desktop, datacenter, homelab, or something in-between: Logship services give you total control.

Don’t pay to play

As you grow, Logship scales with your hardware. You don’t pay more.

Infinite horizontal scale

The more machines you have, the more Logship can parallelize your query workloads.

Simple Deployment

A Logship deployment is made up of 3 components:

Logship Management Service
Logship Database
Logship Agent

Simple Management

We provide tools to make managing Logship easy in all environments:

Logship UI: A web interface for managing and querying Logship.
Logship CLI (logsh): A command-line interface for managing and querying Logship.

Deployment options

Single node: fastest way to try Logship locally via docker-compose.
Multi-node: scale horizontally by splitting database and backend roles.
Air-gapped: mirror container images and use offline schema/agent bundles.

What you'll learn in these docs

Getting started quickly with a laptop or homelab.
Operating the database, frontend, and agent services with production-ready defaults.
Writing performant Kusto queries, complete with samples you can paste into the UI or CLI.
Automating workflows with logsh and CI/CD.