Google Cloud Platform Boot Camp Virtual Classroom Live July 08, 2020

Course Overview

Part 1: Google Cloud Platform (GCP)

1. What makes GCP different?
2. GCP core fundamentals (services, projects, etc.)
3. Identity access management (IAM)
4. GCP console tour​

Exercise: Create a GCP account and the first project

Part 2: GCP App Engine

1. App engine overview
2. App engine management (requests, routes, instances)
3. App engine security: how to secure your applications by integrating it with other security services
4. Microservices on app engine: how to deploy and manage microservices based-applications
5. Standard environment: creating applications with pre-configured environments
6. Flexible environment: creating applications with containers or any other version of the supported languages​

Exercise: Create a hello world with Go

Part 3: GCP Networking

1. Networking overview
2. VPC network: how it’s different from traditional networks
3. Network services: the different ones that GCP offers and how/when to use each one of them
4. Network tiers: the difference between standard and premium tiers
5. Network VPN: connect on-prem servers with GCP securely
6. How security works in networking

Part 4: GCP Compute Engine

1. Compute engine overview
2. Virtual machine instances: the different types you can create and configure in GCP
3. Compute engine storage: how to integrate VMs with different storage options and when to use them
4. Compute engine networking: how networking works for VMs.
5. Compute engine security (ACL): secure VMs by integrating them with the IAM service and grant access to users
6. Creating high availability VMs that are always up and running
   • Load balancers
   • Scaling
   • Regions and zones​

Exercise: Create and manage a VM

Part 5: GCP Kubernetes Engine

1. Kubernetes Engine overview: learn what is it and why you’d choose the Kubernetes managed service from GCP
2. Kubernetes clusters: learn how to administer Kubernetes in GCP as a platform
3. Deploying Kubernetes workloads to GKE
4. Configuring Kubernetes cluster security
5. Configuring Kubernetes cluster networking
6. Working with storage in GKE​

Exercise: Deploy a containerized application

Part 6: GCP Cloud Functions

1. Cloud functions overview: learn about the serverless offering from GCP
2. Node.js runtime: learn how to create Node.js functions
3. Python runtime: learn how to create Python functions
4. Events and triggers: integrating cloud functions with other GCP services
5. Adding security to functions​

Exercise: Create an HTTP function interacting with storage

Part 7: GCP Storage Options

1. Storage options overview
2. Storage services: learn about the most relevant storage services in GCP
   • Bigtable: No-SQL service for high volumes of data and  performing data analytics
   • Datastore: No-SQL service for high-value transactional data for high traffic applications
   • Firestore: No-SQL service for mobile applications
   • Cloud storage: learn about the object storage service
   • Cloud SQL: the managed service for relational DBs
   • Spanner: the managed horizontal scalable service for relational DBs
3. How to choose the proper storage option​

Exercise: Create MySQL and PostgreSQL instances

Part 8: GCP Stackdriver

1. Stackdriver monitoring overview
2. Logging and error reporting
3. Stackdriver APM: understanding and improving your applications with the different services from GCP
   • Stackdriver trace: a service used to know how requests are propagated in the application
   • Stackdriver debugger: a service used to know how to debug live running applications
   • Stackdriver profiler: a service used to monitor CPU and heap of applications