Developing in GCP Training

Course #:TP2740

Developing in GCP Training (Coming Soon)

In this course, application developers will learn to design, develop, and deploy applications using components from the Google Cloud Platform.

OBJECTIVES

This course teaches participants the following skills:

• Best practices of automation, error handling, Microservices development and security in this platform
• Details of google cloud environment
• Picking the right Data Models and data storage patterns
• Utilizing the various execution environments in GCP

AUDIENCE

Application developers and Solution Architects who want to build cloud native applications or are interested in application modernization deployed on Google Cloud Platform

DURATION

Three Days.

Outline of Developing in GCP Training

1. Best Practices

a.    Automation

i.    Code Repository
ii.    CI/CD Infrastructure
iii.    Test-driven development
iv.    Dependency Management
v.    Automated Deployment

b.    Loose Coupling

i.    Asynchronous Function Calls
ii.    Stateless Structures
iii.    Internal Load balancing
iv.    Message processing

c.    Error Handling

i.    Try/Catch on function calls
ii.    Use Error responses to adapt
iii.    Create circuit breakers

d.    Microservice Architecture

i.    Use Service Boundaries
ii.    Access services via API calls
iii.    Data and databases controlled by the service

e.    Security

i.    Categorize data
ii.    Implement controls based on data categories
iii.    Use Identity federation and user management tools

2. Google Cloud Environment

a.    Projects
b.    Identity
c.    Tools

i.    Console
ii.    Cloud Shell
iii.    Google Cloud APIs
iv.    Google APIs

d.    Application Environments

i.    Google Compute Engine
ii.    Google App Engine
iii.    Google Container Engine
iv.    Google Cloud Functions

3. Data

a.    Data models

i.    Cloudy Approach - nothing local
ii.    Unstructured and bulk - Google Cloud Storage
iii.    Structured Data - Data Storage Engines

b.    Data Storage Patterns

i.    Google Cloud Storage (Lab)
ii.    Data Storage Engines

4. Relational (SQL)

a.    Cloud SQL
b.    Spanner

5. Non-Relational

a.    Datastore (Lab)
b.    BigTable

6. Compute

a.    Google App Engine (covered in Datastore Lab)
b.    Google Cloud Functions (Lab)
c.    Google Container Engine (Lab)
d.    Google Compute Engine (Lab)

7. Implementing Best Practices

a.    Loose Coupling

i.    Pub/Sub
ii.    Internal Load Balancing

b.    Security

We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC.