Logaxr

Logaxr is a modular, open-source framework designed for collecting, indexing, and analyzing large volumes of log data. It provides a unified pipeline that covers ingestion, storage, querying, and visualization, with an emphasis on real-time analytics.

The project emerged in the open-source community in the early 2020s and is maintained by a rotating core team of volunteers. It has released multiple major versions and emphasizes compatibility with diverse data sources and pluggable backends to support distributed deployments.

Architecture and features include an ingestion layer that accepts agents and formats such as JSON, Syslog, and Common Event Format (CEF). A streaming backbone handles real-time data, paired with a storage backend optimized for time-series and columnar workloads. The framework includes a dedicated Logaxr Query Language (LQL) that supports filtering, aggregations, and time-window operations, along with a web-based user interface for dashboards and ad-hoc exploration. Extensibility is achieved through a plugin system, enabling custom parsers, backends, and visualizations.

Adoption and reception: Logaxr is used by several small to mid-sized teams for security monitoring, application observability, and incident response. Users highlight straightforward integration with existing data pipelines and flexible backend options, while critiques point to an ecosystem size and documentation level that are smaller than those of larger platforms.

See also: Loki, ELK stack, Graylog, Splunk.