Google Cloud Run Cost Optimization in 2026: CPU Allocation, Concurrency, GPU, and CUDs
Cut Google Cloud Run bills by 40-70% in 2026. Real-world tuning for request-based CPU, concurrency, min instances, GPU L4, Jobs, and CUDs.
FinOps practitioner who's cut seven-figure cloud bills more than once. Believes most cost overruns are an architecture problem in disguise.
Cut Google Cloud Run bills by 40-70% in 2026. Real-world tuning for request-based CPU, concurrency, min instances, GPU L4, Jobs, and CUDs.
EKS Auto Mode adds a 12% management fee to EC2 hours, but replaces the platform-team labor of running Karpenter, EBS CSI, and load balancer controllers yourself. Break-even math from real production fleets, plus hidden costs and a safe incremental migration path.
A field-tested 2026 playbook for cutting Amazon OpenSearch bills: OR2/OM2 instances, UltraWarm and cold tiers, ISM lifecycle policies, Serverless NextGen, and Reserved Instance math that turned one $48K/month cluster into $18K.
A practical FinOps playbook for cutting Databricks bills 40-60% in 2026. Covers DBU pricing, job vs all-purpose clusters, serverless SQL, Photon breakeven, cluster policies, spot fleets, and Delta housekeeping.
Cut AWS Athena bills 80-95% with partitioning, Snappy Parquet, and Iceberg tables. Runnable DDL, current pricing, partition projection, Capacity Reservations breakeven math, and workgroup guardrails to stop runaway analyst queries.
A practical playbook for cutting OpenAI, Anthropic, and Bedrock spend by 50-70% using prompt caching, batch APIs, model routing, and output token control, with working code examples.