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Logs Management πŸ“œ

Logs management is the process of collecting, storing, processing, and analyzing logs from systems, applications, and devices to track activity, detect incidents, ensure security, and support rapid troubleshooting.

πŸ” What is Logs Management?

Logs management is the process of collecting, aggregating, analyzing, storing, and retrieving logs from applications and infrastructure systems. Logs contain critical information about system activity, helping detect incidents, optimize performance, and ensure security compliance.


Elastic Stack (ELK Stack)

πŸ“ Overview: Elastic Stack, formerly known as the ELK Stack, includes Elasticsearch (search and analytics), Logstash (data processing), Kibana (visualization), and Beats (data collection). It is a popular solution for logs management with high scalability.

πŸ”Ή Key features:

  • Real-time log search and analysis.
  • Supports multiple data formats.
  • Scales well for enterprise environments.
  • Provides a visual interface with Kibana.

Use Elastic Stack to collect logs from web servers, analyze errors, and create dashboards that track traffic patterns.

πŸ“š Useful resources:


Loki

πŸ“ Overview: Loki is a log aggregation system developed by Grafana Labs, optimized for Kubernetes and containers. Loki stores log labels instead of full-text indexes, saving resources.

πŸ”Ή Key features:

  • Tight integration with Grafana.
  • Uses LogQL, a query language similar to PromQL.
  • Optimized for Kubernetes and container environments.
  • Resource-efficient compared to other solutions.

Use Loki to track logs from containers in Kubernetes to detect application errors quickly.

πŸ“š Useful resources:


Graylog

πŸ“ Overview: Graylog is an open-source logs management platform that supports real-time log collection, storage, and analysis. It provides a friendly web interface and supports multiple log data types.

πŸ”Ή Key features:

  • Supports log collection protocols such as Syslog and GELF.
  • Powerful search interface.
  • Alerting capabilities for incident detection.
  • Real-time log queries.

Use Graylog to monitor security system logs and detect intrusion behavior.

πŸ“š Useful resources:


πŸ”₯ Example Code

Below is an example of sending logs to a log collection system using JavaScript:

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const winston = require('winston');

const logger = winston.createLogger({
    level: 'info',
    format: winston.format.json(),
    transports: [
        new winston.transports.Console(),
        new winston.transports.File({ filename: 'app.log' })
    ]
});

// Write logs
logger.info('Application started successfully');
logger.warn('Warning: Invalid input data');
logger.error('Error: Unable to connect to the database');

βœ… Conclusion

Logs management plays a vital role in monitoring systems and resolving incidents quickly. Tools such as Elastic Stack, Loki, and Graylog provide powerful solutions for log collection, analysis, and visualization. Choosing the right tool will help improve operational efficiency. πŸš€

πŸ‘‰ Next step: Learn about Container Orchestration - the process of automatically managing, deploying, scaling, and coordinating containers in infrastructure environments, ensuring availability, scalability, and optimized resource usage. Common tools for container orchestration include Kubernetes, Docker Swarm, and Apache Mesos.

Licensed under CC BY-NC-SA 4.0
Last updated on 12:59 15/02/2026