LogSammlung

LogSammlung is a German term used in information technology to describe the systematic collection of log data from computer systems, applications, and network devices. It encompasses the processes, technologies, and practices used to capture, transport, store, and analyze log records with the aim of supporting operations, security monitoring, incident response, and compliance.

Typical architectures separate sources, collectors, transport, and storage. Data sources include servers, containers, applications, network devices, and cloud services. Collectors or agents gather local logs and may perform initial filtering or enrichment. The transport layer forwards logs to a central repository, commonly via syslog, TLS-enabled HTTP, or message queues. Central stores provide indexing and long-term retention, with common choices including Elasticsearch/OpenSearch, Loki, Splunk, or cloud-native storage.

Processing involves parsing heterogeneous formats, normalizing data into structured fields, and enriching events with metadata such as host, service, and severity. Standardized formats and schemas (for example JSON, CEF, or LEEF) aid cross-system querying and correlation. Retention policies, access controls, encryption in transit and at rest, and data minimization are essential to meet privacy and compliance requirements.

Benefits include improved issue diagnosis, operational visibility, performance monitoring, security incident detection, and auditability. Challenges include handling high data volumes, schema evolution, time synchronization, duplicate events, and ensuring data quality. The term LogSammlung is often used descriptively rather than as a specific product, and its exact implementation varies by organization and technology stack.