Logging¶
Logging refers to the collection, processing, and analysis of log data generated by cloud and cloud-native systems, enabling troubleshooting, auditing, and operational visibility in distributed environments.
| Name | Description | Link |
|---|---|---|
| ELK Stack | Is an acronym that stands for Elasticsearch, Logstash, and Kibana. Together, these three components provide a powerful, integrated solution for managing large volumes of data, offering real-time insights and a comprehensive analytics suite. Centralized logging and analytics stack commonly used in cloud and distributed environments | ELK |
| Fluentd | Is a cross-platform open-source data collection software project originally developed at Treasure Data. Cloud-native log collector and forwarder designed for containers and dynamic infrastructures. | Fluentd |
Logging Fundamentals¶
Log Levels¶
- DEBUG - Detailed information for diagnosing problems
- INFO - General information about system operation
- WARN - Warning messages for potentially harmful situations
- ERROR - Error events that might still allow the application to continue
- FATAL - Very severe error events that might cause the application to abort
Log Types¶
- Application logs - Logs generated by cloud-native applications and services
- System logs - Operating system and runtime-level events
- Security logs - Authentication, authorization, and security-related events
- Audit logs - Compliance and governance tracking
- Access logs - API gateway, load balancer, and service access records
Logging Architecture¶
Log Collection¶
- Log agents - Collect logs from various sources
- Log forwarding - Send logs to centralized systems
- Log parsing - Structure unstructured log data
- Log enrichment - Add context and metadata
Log Processing¶
- Filtering - Remove irrelevant log entries
- Transformation - Convert log formats
- Aggregation - Combine related log entries
- Correlation - Link related events across systems
Log Storage¶
- Centralized storage - Single location for all logs
- Indexing - Enable fast log searching
- Retention policies - Manage log lifecycle
- Compression - Optimize storage usage
Log Analysis¶
- Search and query - Find specific log entries
- Visualization - Create charts and dashboards
- Alerting - Notify on specific log patterns
- Reporting - Generate regular log reports
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