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Zorluk: KolaySelecting and Designing Compute and Application Platforms

A software development team needs to deploy a simple, stateless HTTP web microservice packaged as a standard Docker container. The microservice experiences highly variable traffic patterns and must automatically scale down to zero instances during idle periods to minimize operational costs. The team wants to avoid managing Kubernetes clusters, node pools, or underlying operating system maintenance. Which Google Cloud compute platform best fulfills these requirements with the lowest operational overhead?

  1. Cloud RunCevap
  2. B
    Google Kubernetes Engine (GKE)
  3. C
    Compute Engine Managed Instance Group (MIG)
  4. D
    Cloud Storage hosted container runtime

Cevap

Cloud Run is the optimal solution because it executes stateless containerized workloads serverlessly, scales automatically down to zero when idle, and eliminates cluster infrastructure management overhead.
Cloud Run is Google Cloud's managed serverless platform for deploying containerized applications. It automatically handles request-based scaling, scales down to zero when no traffic is present, and requires no cluster or node administration.

Adım Adım Çözüm

1
Identify workload characteristics and operational constraints
Workload is a stateless HTTP container requiring automatic scale-to-zero capabilities with minimal operational maintenance.
Establishing workload parameters allows narrowing down compute choices based on GCP platform capabilities.
2
Evaluate GCP compute platforms against operational overhead limits
Cloud Run fulfills the serverless container requirement directly without requiring virtual machines or Kubernetes cluster administration.
Choosing full Kubernetes orchestration or IaaS virtual machines for basic stateless containerized services introduces unnecessary cost and management complexity.

Anahtar Kavram

Selecting Cloud Run for stateless containerized web applications to achieve serverless execution, scale-to-zero capabilities, and minimal operational overhead.
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Selecting and Designing Compute and Application Platforms