LogSysteme

LogSysteme is a modular log management platform designed to collect, store, index, and analyze log data from distributed software systems. It aims to provide centralized visibility into operations, security, and compliance by aggregating logs from cloud services, on-premises applications, and edge devices. The platform can be deployed as an on-premises solution, a cloud service, or a hybrid implementation and is designed to scale with growing data volumes.

Its architecture typically comprises an ingestion layer, a processing and enrichment pipeline, a scalable storage backend, and a querying and visualization interface. The ingestion layer accepts multiple protocols and formats, including syslog, JSON over HTTP, and streaming data. The processing pipeline normalizes data, applies schemas, extracts metadata, and can attach trace context. The storage backend may combine time-series stores for recent data with long-term archival in object storage, depending on policy.

Log events are modeled as records with fields such as timestamp, level, message, service, host, and metadata. The system supports indexing on time ranges and metadata keys, enabling fast searches, aggregations, and faceted navigation. Common features include full-text search, structured queries, alerting rules, dashboards, and export capabilities for downstream analytics or incident response.

Operational considerations include data retention policies, role-based access control, encryption in transit and at rest, and compliance auditing. Deployment patterns emphasize resilience, high availability, and security, with options for multi-region replication and backup strategies. Interoperability is facilitated through open APIs and connectors to popular platforms and observability stacks.

LogSysteme is used in software operations, security monitoring, and auditing, often as part of a broader observability strategy alongside metrics and traces.