Ross ROSS = Recommend OSS · open-source software intelligence for agents

rsyslog/rsyslog

High-performance log ingestion and ETL engine observed · 2026-08-28

github.com/rsyslog/rsyslog · homepage · C · LGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 86
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 59.0
  • age_days: 4839
  • days_rel: 15
  • days_push: 8
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

2329 stars · 732 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Rsyslog is a high-performance open-source log ingestion and ETL engine written in C, originally a syslog daemon and now a modular pipeline system for collecting, parsing, transforming, and routing event data. It supports 100+ input/output modules including Kafka, Elasticsearch, MongoDB, HTTP endpoints, and files, and can process over one million messages per second.

Use cases

  • centralize syslog from many servers into one log store
  • ship logs to elasticsearch for search and dashboards
  • forward application logs to kafka
  • parse and enrich log messages before routing
  • collect linux journal and log files into a pipeline
  • relay syslog over tcp and udp in containerized environments
  • buffer logs reliably with disk-assisted queues
  • filter and route log messages by severity or content

When to choose

  • you need a battle-tested, very fast syslog server on linux
  • you want a lightweight log shipper with modular inputs and outputs
  • you need reliable buffering and forwarding of log data at scale
  • you want to transform, normalize, or filter logs in a pipeline before storage

When to avoid

  • you need a full log analytics UI with dashboards out of the box
  • you prefer config-as-code in a general-purpose language rather than rainerscript
  • your stack is windows-only and you cannot use the separate commercial windows agent

Facets

service · maturity stable

logging etl streaming message-queue search-engine monitoring monitoring backend infrastructure-as-code self-hosted windows self-hosted cli syslog log-aggregation log-processing kafka elasticsearch rainerscript log-forwarding c devops linux docker

6 sources

Member repositories

RepositoryRoleHealth v2
rsyslog/rsyslogmain95

For agents

markdown · JSON · MCP: product_card(name="rsyslog/rsyslog")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem