Cloud Logging vs Elastic Stack

Developers should use Cloud Logging when building or maintaining applications in the cloud to centralize logs from distributed systems, which simplifies debugging and monitoring across microservices or serverless architectures 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.

Cloud Logging

Nice Pick

Developers should use Cloud Logging when building or maintaining applications in the cloud to centralize logs from distributed systems, which simplifies debugging and monitoring across microservices or serverless architectures

Pros

• It is essential for compliance and security auditing, as it helps track user activities and system events, and it supports real-time alerting to quickly respond to incidents, improving operational reliability and reducing downtime
• Related to: google-cloud-logging, aws-cloudwatch-logs

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. Cloud Logging is a tool while Elastic Stack is a platform. We picked Cloud Logging based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Cloud Logging wins

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