LogStore

LogStore is a storage subsystem designed to persist log events produced by software systems. It provides a durable backend for log aggregation, observability, and analytics, prioritizing high ingestion throughput, efficient queries, and long-term retention.

In typical implementations, ingestion, storage, and indexing are separated. Logs are written in append-only fashion to time-partitioned segments, often replicated across nodes to improve durability. The data model usually includes timestamp, level, source, and message, with optional structured fields or JSON payloads. Indexes on time and key fields enable fast range queries and filters.

LogStore commonly integrates with log shippers and messaging systems such as syslog, Fluentd or Fluent Bit, and Kafka, providing write APIs and query interfaces that support searching by time window, severity, source, or text. Some implementations expose SQL-like queries or streaming APIs and integrate with dashboards and alerting tools.

Key properties include scalability, reliability, and data safety. Horizontal partitioning, replication, and configurable retention policies help manage growth and cost. Techniques such as compaction, deduplication, and tombstoning support storage efficiency and data lifecycle management.

Deployment patterns vary from on-premises deployments to cloud-managed services and hybrid architectures. LogStore can be built on distributed file systems or specialized storage engines and is often integrated with existing observability stacks, SIEMs, and analytics pipelines.

Security and governance features, such as access control, encryption in transit and at rest, and audit logging, help meet compliance requirements and protect sensitive data.