That e2-standard-4 Uses 12% of Its CPU: Right-Size It and Save 40% Instantly 📐

GCP gives you something AWS and Azure don't: custom machine types. Instead of picking from a fixed menu of predefined VMs, you can specify exact vCPU and memory to match your workload. Your app needs 2 vCPUs and 5 GB RAM? Don't pay for the 16 GB that comes with e2-standard-4. Create an e2-custom-2-5120 and stop overpaying. Here's the problem: teams pick "standard" machine types during initial setup, and nobody ever changes them. That e2-standard-4 with 4 vCPUs and 16 GB of RAM? Your monitoring shows it uses 12% CPU and 4 GB of memory. You're paying for 3.5 vCPUs and 12 GB of RAM that sit idle every single day. Studies show that 78% of organizations waste 21-50% of their cloud compute spend on oversized VMs. GCP's Recommender API identifies exactly which VMs are oversized, and custom machine types let you right-size them to the exact resources needed. Let's fix this with Terraform. 📊 The Cost of Over-Provisioning Here's what you're paying vs what you could be paying for a typical web AP