Highlights
• Build scalable and reliable applications using Google App Engine Standard Environment.
• Leverage Google Cloud Endpoints to implement, deploy, and manage API backends.
• Create microservice-based applications using App Engine services.
• Manage application security, versioning, deployment, and monitoring.
• Store application data, optimize query performance, and use transactions in Google Cloud Datastore.
• Provide improved performance and capacity with Memcache and instance scaling.
Course Details
Module 1: Developing Solutions with Google Cloud Platform
- Benefits of Google Cloud Platform.
- Development tools and services for Google Cloud Platform.
- Google Cloud Platform solution architectures.
- Lab: Google Cloud Source Repositories.
Module 2: Google Cloud Endpoints
- Cloud Endpoints features.
- Developing APIs using Cloud Endpoints.
- Accessing Cloud Endpoints APIs using JavaScript clients.
- Lab
Module 3: App Engine Services
- Modular application design and App Engine services.
- Deploying services.
- Accessing App Engine services.
- Lab: Google App Engine Services.
Module 4: User Authentication and Credentials
- Authentication and authorization concepts.
- Securing access through application configuration.
- Authentication with the Users service.
- Authorization with API keys, OAuth, and application default credentials.
- Lab: User Authentication.
Module 5: Managing App Engine Applications
- Deploying and managing multiple application versions.
- Traffic splitting, incremental rollouts, and canary releases.
- Budgets and quotas.
- Stackdriver logging and application tracing.
- Lab: Managing Google App Engine Applications.
Module 6: Storage for Solution Developers
- Functionality and benefits of Cloud Platform storage options.
- Using Google Cloud Storage for immutable BLOB storage.
- Integrating Google Cloud SQL into App Engine Apps.
- Cloud Datastore fundamentals.
- Lab: Google Cloud Datastore.
Module 7: Queries and Indexes
- Implementing query filters with Cloud Datastore.
- Single-property and composite indexes.
- Configuring and optimizing indexes.
- Lab: Google Cloud Datastore Queries and Indexes.
Module 8: Entity Groups, Consistency, and Transactions
- Strong and eventual consistency in Cloud Datastore.
- Ensuring strongly consistent queries.
- Best practices for Cloud Datastore transactions.
- Lab: Google Cloud Datastore Transactions.
Module 9: App Engine Performance and Optimization
- Memcache use cases and implementation patterns.
- Manual, basic, and automatic scaling behavior.
- Configuring application scaling.
- Lab: Google App Engine Performance and Optimization.
Module 10: Task Queues
- Push and pull queue capabilities and configuration.
- Adding and consuming tasks with push and pull queues.
- Scheduling tasks with the Cron Service.
- Lab: Task Queue API.
- Lab: Deleting Google Cloud Platform Projects and Resources.
Who should attend
This course is intended for experienced application developers who want to learn how to migrate applications to the cloud or create native, cloud-based applications on Google Cloud App Engine.
Feedback
4.8 out of 5 average
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022