The provided code examples showcase configurations and scripts related to log management systems such as Vector, Filebeat, Loki, and Elasticsearch. Here's a detailed breakdown of each:
Code Example 1: Vector Configuration for Log Egress
This YAML configuration file sets up Vector to collect logs from various sources (e.g., Docker containers) and send them to Loki via HTTP POST requests.
- Sources: Configured to read logs from
/var/log/containers/*.log. - Transforms: Applies a transformation to add Kubernetes metadata to each log entry.
- Sinks: Sends the transformed log entries to Loki using an HTTP sink with specific headers (e.g.,
X-Scope-OrgID).
Code Example 2: Loki Configuration
This YAML file configures Loki, a horizontally-scalable, highly-available multi-tenant log aggregation system.
- Ingester: Defines how logs are chunked and stored. It includes settings for chunk size, idle period before flushing to storage, and maximum series per query.
- Storage Config: Specifies the use of GCS (Google Cloud Storage) for long-term retention of chunks and TSDB index for short-term indexing.
- Compactor: Sets up periodic compaction tasks that merge
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