An e-commerce company is preparing for an upcoming flash sale expected to increase traffic to five times normal peak volume on Google Cloud. As the Cloud Architect responsible for capacity planning and workload scaling optimization, which TWO actions should you recommend to ensure seamless infrastructure scaling and prevent availability bottlenecks? (Select TWO answers.)
- Review regional GCP quota limits for CPU cores and IP addresses in advance, submitting quota increase requests prior to the event.Cevap
- Configure Compute Engine Managed Instance Group (MIG) autoscaling policies based on custom application metrics such as request latency or HTTP queue depth.Cevap
- CMigrate the existing single-region Cloud SQL relational database to a multi-region Cloud Spanner instance specifically to handle the temporary event load.
- DDefer capacity planning configuration changes and rely on GCP default quota limits, assuming compute quotas scale automatically as demand increases.
Cevap
Review regional GCP quota limits for CPU cores and IP addresses in advance, submitting quota increase requests prior to the event, AND configure Compute Engine Managed Instance Group (MIG) autoscaling policies based on custom application metrics such as request latency or HTTP queue depth.
Effective capacity planning requires requesting regional resource quota increases well ahead of anticipated high-volume events because quota requests are not instant. Additionally, configuring scaling policies to utilize custom workload metrics (such as queue depth or HTTP throughput) ensures instance groups scale out responsively when I/O or connection limits are reached.
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Capacity Planning and Infrastructure Workload Scaling Optimization
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