Graylog vs Elastic Stack

Developers should learn Graylog when they need to centralize and analyze logs from distributed systems, applications, or infrastructure for troubleshooting, security monitoring, or compliance meets developers should learn elastic stack for centralized logging, application performance monitoring, and security analytics in distributed systems, such as microservices or cloud-native applications. Here's our take.

Graylog

Nice Pick

Developers should learn Graylog when they need to centralize and analyze logs from distributed systems, applications, or infrastructure for troubleshooting, security monitoring, or compliance

Pros

• It is particularly useful in DevOps and SRE roles for real-time log analysis, detecting anomalies, and setting up alerts to respond to incidents quickly
• Related to: elasticsearch, logstash

Cons

• Specific tradeoffs depend on your use case

Elastic Stack

Developers should learn Elastic Stack for centralized logging, application performance monitoring, and security analytics in distributed systems, such as microservices or cloud-native applications

Pros

• It's particularly valuable for DevOps and SRE roles to troubleshoot issues, analyze trends, and create dashboards for operational insights, with use cases including log aggregation, business analytics, and threat detection
• Related to: elasticsearch, logstash

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Graylog is a tool while Elastic Stack is a platform. We picked Graylog based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Graylog wins

Based on overall popularity. Graylog is more widely used, but Elastic Stack excels in its own space.