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Cloud & infrastructure · #gcp
Decide whether a regional or zonal Cloud SQL instance best meets your availability, cost, and operational needs. Compare key trade‑offs, and see how to validate your choice with a failover test and cost check.
Learn how to add a Redis cache to a Cloud Run service, reduce DB load, and measure hit ratios. Includes example, trade-offs, and a verification checklist.
Decide between Cloud Run’s CPU options—none, 1, or 2—to balance cost and latency. Use a concise decision table, update with gcloud, and validate with Cloud Monitoring and billing.
Prevent 'poison pill' messages from blocking your Pub/Sub pipelines. Learn how to configure Dead Letter Topics, manage the required IAM permissions, and build a recovery workflow.
Compare GCS storage classes (Standard, Nearline, Coldline, Archive) and implement automated cost-saving transitions using Object Lifecycle Management.
Configure Cloud SQL high availability with a synchronous standby in another zone. Covers gcloud setup, failover testing, cost, and tier limits.
Learn how to run the Cloud SQL Proxy on a Compute Engine VM, authenticate with IAM, and connect to Cloud SQL without managing SSL certificates.
When BigQuery tables grow to terabytes, careless queries can explode costs. Partitioning and clustering let you prune data and pay only for what you read.
Learn how to run Cloud SQL Auth proxy as a sidecar in Cloud Run, use IAM database users, and verify the connection without storing passwords.
redis