Analyzing and Optimizing Processes

Development Models on GCP

The PCA exam expects you to recommend development processes, not just infrastructure. Understanding how teams develop, test, and release software on GCP is critical for architecture decisions.

Testing Strategy

Cloud Build

Cloud Build is a serverless CI/CD platform. It executes build steps defined in cloudbuild.yaml using builder images. Each step runs in its own container.

# cloudbuild.yaml — Build, test, push, deploy
steps:
  # Step 1: Run unit tests
  - name: 'python:3.12'
    entrypoint: 'bash'
    args:
      - '-c'
      - 'pip install -r requirements.txt && pytest tests/'

  # Step 2: Build Docker image
  - name: 'gcr.io/cloud-builders/docker'
    args: ['build', '-t', 'us-central1-docker.pkg.dev/$PROJECT_ID/my-repo/my-app:$SHORT_SHA', '.']

  # Step 3: Push to Artifact Registry
  - name: 'gcr.io/cloud-builders/docker'
    args: ['push', 'us-central1-docker.pkg.dev/$PROJECT_ID/my-repo/my-app:$SHORT_SHA']

  # Step 4: Deploy to Cloud Run
  - name: 'gcr.io/cloud-builders/gcloud'
    args:
      - 'run'
      - 'deploy'
      - 'my-app'
      - '--image=us-central1-docker.pkg.dev/$PROJECT_ID/my-repo/my-app:$SHORT_SHA'
      - '--region=us-central1'
      - '--platform=managed'

options:
  logging: CLOUD_LOGGING_ONLY

triggers:
  - name: 'push-to-main'
    github:
      owner: 'my-org'
      name: 'my-repo'
      push:
        branch: '^main$'

Cloud Deploy

Cloud Deploy provides managed continuous delivery with promotion, approval gates, and rollback. It defines delivery pipelines as code.

# cloud-deploy pipeline definition
apiVersion: deploy.cloud.google.com/v1
kind: DeliveryPipeline
metadata:
  name: my-pipeline
serialPipeline:
  stages:
    - targetId: dev
      profiles: [dev]
    - targetId: staging
      profiles: [staging]
      strategy:
        canary:
          runtimeConfig:
            cloudRun:
              automaticTrafficControl: true
          canaryDeployment:
            percentages: [25, 50, 75]
    - targetId: production
      profiles: [production]
      strategy:
        canary:
          runtimeConfig:
            cloudRun:
              automaticTrafficControl: true
          canaryDeployment:
            percentages: [10, 25, 50]

Artifact Registry

Artifact Registry is the successor to Container Registry. It stores Docker images, language packages (npm, pip, Maven), and OS packages. Key features include vulnerability scanning, remote repositories (proxy for Docker Hub, npm), and virtual repositories (single endpoint for multiple repos).

DR Patterns

RPO and RTO

RPO (Recovery Point Objective) — Maximum acceptable data loss, measured in time. How much data can you afford to lose?

RTO (Recovery Time Objective) — Maximum acceptable downtime. How quickly must the system be back online?

Communication and Change Management

The PCA exam includes questions about non-technical skills — how to communicate architecture decisions and manage organizational change during cloud adoption.

• Executive Stakeholders — Focus on TCO, risk reduction, competitive advantage. Use business metrics, not technical jargon.
• Development Teams — Focus on developer experience, CI/CD improvements, reduced ops burden. Show migration path and training plan.
• Security/Compliance Teams — Focus on control mechanisms, audit capabilities, compliance certifications. Demonstrate defense in depth.
• Operations Teams — Focus on monitoring, alerting, incident response, IaC. Show how managed services reduce toil.

Compute Cost Savings

Storage Cost Savings

• Lifecycle Policies — Automatically transition objects to cheaper storage classes based on age.
• Autoclass — GCS automatically manages storage classes based on access patterns. Zero configuration.
• BigQuery Storage Optimization — Partitioning (reduce scanned data), clustering (sort optimization), materialized views (pre-computed results).
• Nearline/Coldline for Backups — Use appropriate storage class for backup frequency.

Cost Management Tools

# Set up a billing budget alert
gcloud billing budgets create \
    --billing-account=01ABCD-234567-EFGH89 \
    --display-name="Monthly Budget" \
    --budget-amount=5000 \
    --threshold-rule=percent=50,basis=current-spend \
    --threshold-rule=percent=90,basis=current-spend \
    --threshold-rule=percent=100,basis=current-spend \
    --notifications-rule-pubsub-topic=projects/my-project/topics/billing-alerts

# Export billing to BigQuery for analysis
gcloud billing accounts describe 01ABCD-234567-EFGH89

# View Recommender insights for right-sizing
gcloud recommender insights list \
    --insight-type=google.compute.instance.MachineTypeRecommender \
    --project=my-project \
    --location=us-central1-a