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
andpub/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 repositoryCloud 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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