Google Cloud Cost Optimization

I spend a little over ₹3,000 every week on Google Cloud even though our traffic is light. Most of that amount comes from Gemini, Vertex AI, Cloud Run and a small Compute Engine instance, yet the charges still feel unpredictable. I need someone who understands these services inside out to pinpoint why the bill is spiking and then adjust the setup so costs rise or fall strictly with real usage.

Here’s what I have in mind:
• Start with a quick but thorough audit that shows exactly where the money goes.
• Tweak or right-size Gemini, Vertex AI and Cloud Run (for example, reviewing machine types, autoscaling settings, idle resources, model choices, and network egress).
• Introduce clear budget alerts and usage dashboards—if they’re not already there—so I can see a problem before it becomes an invoice.

The deliverable I expect is a concise report summarizing the findings, the changes applied (or recommended) and the estimated weekly savings, plus the monitoring setup ready for me to view in Cloud Monitoring/Billing. If you’ve done similar optimizations, let me know your approach and typical results.