Analyzing and Optimizing Technical and Business Processes
Optimization questions usually hide a cost or performance lever that the distractors ignore.
Cost levers
Sustained use discounts apply automatically to Compute Engine - you cannot buy them. Committed use discounts are a purchase for a predictable baseline (1 or 3 years) and are scoped to a region and resource family. Spot VMs suit fault-tolerant batch work at deep discounts but can be preempted. Rightsizing recommendations, idle-resource cleanup, and autoscaling remove waste. Network egress is the lever candidates forget: keep compute near the data, use Cloud CDN for outbound content, Private Google Access to avoid public egress, and be careful with cross-region replication. Export billing data to BigQuery, join it with labels, and set budgets with alerts for showback.
Performance levers
Autoscaling (managed instance groups, GKE HPA), caching (Cloud CDN, Memorystore), batching chatty calls, and choosing a region near users. BigQuery cost depends on pricing model: on-demand per byte scanned versus capacity-based slots (editions) for predictable heavy workloads; partitioning and clustering cut bytes scanned.
Business processes
Map the current state, define KPIs, measure before and after, and automate the repetitive steps with pipelines. FinOps is a process: assign owners via labels, review spend on a cadence, and tie optimization to SLA rather than to raw cost alone.
Traps
Assuming committed use discounts apply automatically or cover every machine family; proposing spot VMs for stateful production; optimizing cost while breaking an availability requirement; ignoring egress in a TCO estimate.
Rule of thumb: buy 1-year commitments for the steady floor of usage, cover the burst with on-demand, and push genuinely interruptible work onto Spot.