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Google's GKE AI infrastructure docs list ~40 integrations. Here's a field map of which ones actually matter when the workload is a HIPAA-aware multi-agent medical AI, and where the gaps sit.
₹100 Cr / ~$12M in proven savings across a year-plus engagement. The four levers that did the heavy lifting, the lever I expected to win that didn't, and the post-engagement playbook that became a Searce managed service.
Capacity-based slot reservation is the biggest single FinOps lever for predictable batch workloads, but the transition is harder than the math. Notes from sizing reservations across enterprise GCP customers.
Storage was the second-biggest line item on the Tata BigQuery bill. Long-term storage, physical-vs-logical billing, and column-level retention together took a 6-figure monthly line down to a 5-figure one.
Every Professional Cloud Security Engineer exam bullet, mapped to a file path in an RBI FREE-AI aligned Go platform. Where the implementation matches, where the analog substitutes, and where the honest gaps are.
Moving a workload from Azure to GCP while it continues to authenticate against on-prem Azure AD (Entra ID). Federation lets the GCP workload assume a GCP service account based on its Azure identity.
Vote integrity needed two things the platform team couldn't fake even by accident: signing keys we couldn't access, and continuous security monitoring we couldn't silence. KMS + SCC delivered both.