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.

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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