Availability Metrics vs Performance Metrics
Developers should learn and use availability metrics when building, deploying, or maintaining critical systems to ensure reliability, meet user expectations, and comply with contractual obligations like SLAs meets developers should learn and use performance metrics to ensure their applications meet user expectations for speed and reliability, particularly in production environments where poor performance can lead to lost revenue or user churn. Here's our take.
Availability Metrics
Developers should learn and use availability metrics when building, deploying, or maintaining critical systems to ensure reliability, meet user expectations, and comply with contractual obligations like SLAs
Availability Metrics
Nice PickDevelopers should learn and use availability metrics when building, deploying, or maintaining critical systems to ensure reliability, meet user expectations, and comply with contractual obligations like SLAs
Pros
- +Specific use cases include monitoring cloud services, setting SLOs for microservices architectures, and conducting post-incident analyses to improve system resilience in industries such as e-commerce, finance, and healthcare where downtime can lead to significant revenue loss or safety issues
- +Related to: site-reliability-engineering, monitoring
Cons
- -Specific tradeoffs depend on your use case
Performance Metrics
Developers should learn and use performance metrics to ensure their applications meet user expectations for speed and reliability, particularly in production environments where poor performance can lead to lost revenue or user churn
Pros
- +This is critical for web applications, APIs, and microservices where metrics like load time and uptime directly impact user experience and business outcomes
- +Related to: application-performance-monitoring, load-testing
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Availability Metrics if: You want specific use cases include monitoring cloud services, setting slos for microservices architectures, and conducting post-incident analyses to improve system resilience in industries such as e-commerce, finance, and healthcare where downtime can lead to significant revenue loss or safety issues and can live with specific tradeoffs depend on your use case.
Use Performance Metrics if: You prioritize this is critical for web applications, apis, and microservices where metrics like load time and uptime directly impact user experience and business outcomes over what Availability Metrics offers.
Developers should learn and use availability metrics when building, deploying, or maintaining critical systems to ensure reliability, meet user expectations, and comply with contractual obligations like SLAs
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