Instiq
Chapter 5 · Optimizing performance and cost·v1.0.0·Updated 6/15/2026·~12 min

What's changed: Created Professional Cloud DevOps Engineer Chapter 5 (Domain 5 "Optimize": APM performance collection, Active Assist insights/recommendations, recommenders (cost/security/performance/manageability/reliability); FinOps = Spot VMs/CUD/SUD/network tiers, utilization/rightsizing, observability cost, per-workload optimization for GKE/Cloud Run/Compute Engine).

5.1Collecting performance information and Active Assist

Key points

Understand collecting performance information via application performance monitoring (APM) and obtaining continuous optimization hints through Active Assist insights/recommendations.

Optimization starts with measurement. Continuously observe app performance and incorporate platform-provided recommendations to improve performance and cost intelligently.

5.1.1Application performance monitoring

Application performance monitoring (APM) continuously collects performance information such as latency, throughput, error rate, and resource utilization. Combine the three pillars (metrics, logs, traces) to locate bottlenecks. Detect degradations/regressions against SLIs/SLOs to decide what to optimize. Map "continuous performance observation = APM" and "bottleneck identification = traces + metrics."

5.1.2Active Assist insights and recommendations

Active Assist analyzes usage and automatically surfaces insights and recommendations. Examples: removing idle VMs/disks, rightsizing oversized VMs, releasing unused IPs, and reducing over-privileged IAM. Receive these from recommenders (cost/security/performance/manageability/reliability categories) and apply them safely. Map "automatic optimization suggestions = Active Assist/recommenders."

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