logbxk

Logbxk is a software platform for collecting, storing, and analyzing log and event data from distributed software systems. It is designed to scale from small deployments to large, high-volume environments and to support both batch processing and real-time streaming of log records. The goal is to provide operational visibility through fast search, structured querying, and flexible data modeling.

At its core, logbxk comprises data ingest components, a storage layer optimized for time-stamped events, and a query/analytics layer. Ingesters normalize input from diverse sources (applications, servers, network devices) and route it to the storage backend. The storage layer supports retention policies, compression, and scalable indexing. The query layer offers a SQL-like interface and an API for programmatic access, enabling dashboards, alerting, and ad-hoc analysis. The project emphasizes pluggability, with backends for local disks, cloud object stores, or distributed filesystems, and adapters to export data to SIEMs and monitoring tools.

Features include schema-free event data, per-tenant access controls, and configurable retention; high-throughput ingestion; search and aggregations across large log volumes; streaming support for near-real-time analytics; and integration points for visualization dashboards. It supports common authentication methods and can be deployed on-premises or in cloud environments.

Logbxk is distributed as open-source software with contributions from a community of developers. It is intended as a general-purpose platform for log management, telemetry, and incident response workflows, and it is often discussed in data engineering contexts as an example of scalable log processing architectures.