# oklog/oklog

A distributed and coördination-free log management system

Repository: https://github.com/oklog/oklog
Canonical: https://ross.abutalabs.com/products/oklog
Language: Go
License: Apache-2.0
License Family: permissive
Topics: log, logging, distributed, distributed-systems, metallica
Archived: true
Last push: 2018-09-07T21:45:27+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3523, "days_push": 2917, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2971, forks 166 (observed 2026-08-28T04:07:32.795968+00:00)

## What it is
OK Log is a distributed, coordination-free log management system for large clusters, distributed as a single static Go binary. It aggregates logs from services and lets you query them on-prem without the operational complexity of Elasticsearch. The project is now archived and unmaintained.

## Use cases
- aggregate logs from many servers without manual tailing
- self-hosted alternative to Loggly
- simpler on-prem log store than Elasticsearch
- replace a slow Fluentd/Logstash pipeline
- just grep my logs across a cluster

## When to choose
- you want a simple, easy-to-operate on-prem log aggregation tool
- you find Elasticsearch overkill or unreliable for your log volume
- you want a single static binary with minimal dependencies

## When to avoid
- you need a maintained project with active support
- you need rich search features, dashboards, or alerting
- you want a cloud-native solution integrated with Kubernetes ecosystems

## Facets
- artifact type: service
- maturity: abandoned
- function: logging, search-engine, http-server, cli
- domain: microservices, monitoring, self-hosted
- platform: windows, go, self-hosted, cli
- tags: log-management, log-aggregation, coordination-free, on-prem, archived, devops, linux, macos

## Member repositories
- oklog/oklog (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:32.795968+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:31:43.372291+00:00, confidence not recorded.
  - readme: https://github.com/oklog/oklog (fetched 2026-08-28T04:07:32.795968+00:00, sha 3d72e7ff5656)
- Data as of 2026-08-30T08:39:29.467469+00:00.