Monitor and analyze key infrastructure metrics including system reliability, performance, capacity utilization, and operational efficiency to ensure platform stability and identify areas for optimization.
Report Objective
Track and analyze critical infrastructure metrics across our online services platform, focusing on system reliability, performance trends, resource utilization, and operational efficiency. This quarterly review enables proactive capacity planning, identifies potential bottlenecks, and ensures service level objectives are consistently met.
System Reliability and Availability
Line charts showing uptime trends and incident metrics
Questions to Consider:
How does our actual uptime compare to our SLA commitments?
What are the patterns in incident frequency and resolution times?
Which services experience the most frequent disruptions?
Are there correlations between incidents and specific deployment windows or traffic patterns?
Are there any services showing declining uptime trends?
How do uptime patterns vary between critical and non-critical services?
What impact have recent infrastructure changes had on uptime?
Which services are experiencing the most incidents?
Are there patterns in incident frequency that suggest systemic issues?
How effective are our incident prevention measures?
Resource Utilization and Capacity
Bar charts and histograms showing resource usage patterns
Questions to Consider:
Where are we seeing concerning trends in resource consumption?
Which services are approaching capacity limits?
How effective is our auto-scaling during peak loads?
What is our projected capacity needs based on growth trends?
Which resources are approaching critical utilization levels?
How does current utilization compare to optimal ranges?
What is our remaining capacity headroom?
Which resources are growing fastest and require attention?
Are growth rates aligned with business expansion plans?
Where might we need capacity upgrades soon?
Performance Metrics
Line charts and tables showing response times and throughput
Questions to Consider:
Are there concerning trends in latency across our services?
How do peak traffic periods impact performance?
Which endpoints show degraded performance?
What is our headroom for handling increased load?
Are there concerning trends in response time?
How do response times vary during peak vs. off-peak hours?
What impact have recent optimizations had on performance?
What is the distribution of error rates across services?