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Ahmed Zidan
Ahmed Zidan

Posted on • Originally published at dailytask.co

Mastering Google Cloud Developer Exam

Embarking on the journey to become a Professional Cloud Developer? Here's a comprehensive guide to help you ace the exam by mastering key tools, practices, and services.

Professional Cloud Developer

Building & Testing Applications 🛠️

Develop Locally:

  • minikube: Local Kubernetes for easy learning and development.

  • Skaffold : Fast, repeatable, simple container & Kubernetes development.

  • Packer: Automate image builds for efficiency.

  • buildpacks : transform your application source code into images that can run on any cloud

  • Google code : use Google code or you can integrate it with vs code and use it as extention.

  • Google Emulator: to emulate GCP Services for local Application development currently you can use it for bigtable, datastore, firestore and pub/sub

Build Your App:

  • Artifact collection of source code, dependencies, configuration files, binaries, etc, which can be build using different processes.

  • Google Container Registry: Store your container image.

  • Artifact Registry : The next generation of Container Registry. Store, manage, and secure your build artifacts.

  • Cloud Source Repositories: Offers a private git repository

  • Cloud build: where you can build you CI/CD and nicely intgreted with other Google services

Testing Tools:

  • Load test where you stress your application with a heavy load.

    • Run before putting the application into production
    • Design to simulate the real-world traffic as closely as possible
    • Test the maximum load you expect to encounter
    • Test how your Google Cloud costs increase as the number of users increase
    • Test the application when traffic suddenly increases
  • Resilence tests where you see what happens when various infrastructure components fails.

    • Test infrastructure failures
    • App should keep running
    • Example terminate a random instance within an auto scaling group
  • Vulnerability tests where you see if your application can withstand hacker attacks.

    • Peer review: Developer check each other's code
    • Integrate static code analysis tools such as the vulnerability scanning featur of Google's container analysis service into CICD pipeline
    • At least once a year you should run penetration tests

Deploying Applications 🚀

Explore:

  • GKE (Standard & Autopilot): Google Kubernetes Engine for microservices.

-Cloud Run: Fully managed service for deploying containers.

  • Pub/Sub: Scalable messaging service for decoupled services.

  • App Engine: Build server-side rendered websites.

  • A/B Testing: Test a feature on a small set of users.

  • Feature Flags: Control to toggle features on and off.

  • Backward Compatibility: Ensure app works with older versions.

Managing Deployed Applications 📊

Leverage Google Services:

  • Cloud Logging: Store logs securely at an exabyte scale.

  • Cloud Monitoring: Store application metrics.

  • SLO/SLI-based Alerting: Create SLI-based alerts.

  • Cloud Profiler: Continuous CPU and memory profiling.

  • Cloud Trace: Distributed tracing system for latency data.

  • Open Telemetry: Portable telemetry for effective observability.

  • Error Reporting: Real-time exception monitoring and alerting.

Designing Cloud-Native Applications 🌐

Skills to Showcase:

  • Deploying Code: GKE, Cloud Run, App Engine, Cloud Function, VM.

  • Caching Solutions: Memcache, Redis.

  • Asynchronous Apps: Apache Kafka, Pub/Sub, Eventarc.

  • Databases: Cloud SQL, Cloud Spanner, BigQuery, Firestore, Datastore.

Ready to ace the exam? Dive deeper into each category and own your Google Cloud Developer journey! 💡🚀

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