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What metrics should I track to maintain reliable SLOs for cloud services?

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What metrics should I track to maintain reliable SLOs for cloud services?

Asked on Oct 31, 2025

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To maintain reliable Service Level Objectives (SLOs) for cloud services, it's crucial to track key metrics that reflect the performance, availability, and reliability of your services. These metrics should align with the principles of reliability engineering and the Well-Architected Framework.

Example Concept: Key metrics for maintaining SLOs include availability, latency, error rate, and throughput. Availability measures the uptime of your service, latency tracks response times, error rate monitors the frequency of failed requests, and throughput measures the volume of data processed over time. By continuously monitoring these metrics, you can ensure your services meet the agreed-upon performance standards and quickly identify areas for improvement.

Additional Comment:

Availability is often expressed as a percentage of uptime over a given period.
Latency should be measured at various points in your service architecture to identify bottlenecks.
Error rate can be tracked by monitoring HTTP response codes or application logs.
Throughput is critical for understanding the capacity and scalability of your service.
Consider using tools like Prometheus, Grafana, or AWS CloudWatch for metric collection and visualization.

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What metrics should I track to maintain reliable SLOs for cloud services?

Asked on Oct 31, 2025

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