Module 1 Introduction to Google Cloud
- Use the Google Cloud Console
- Use Cloud Shell
- Define Cloud Computing
- Identify Google Cloud Compute Services
- Understand Regions and Zones
- Understand the Cloud Resource Hierarchy
- Administer your Google Cloud Resources
- Identify Google Cloud services and their function.
- Choose the right Google Cloud services to create your own Cloud solution 1 lab and 1 quiz
Module 2 Containers and Kubernetes in Google Cloud
- Create a Container Using Cloud Build
- Store a Container in Container Registry
- Understand the Relationship Between Kubernetes and Google Kubernetes Engine (GKE)
- Understand how to Choose Among Google Cloud Compute Platforms
- Create a Container using Cloud Build.
- Store a Container in Container Registry.
- Compare and Contrast Kubernetes and GKE features.
Module 3 Kubernetes Architecture
- Understand the Architecture of Kubernetes: Pods, Namespaces
- Understand the Control-plane Components of Kubernetes
- Create Container Images using Cloud Build
- Store Container Images in Container Registry
- Create a Kubernetes Engine Cluster
- Conceptualize the Kubernetes Architecture.
- Deploy a Kubernetes Cluster using GKE.
- Deploy Pods to a GKE Cluster.
- View and Manage Kubernetes Objects.
- Conceptualize the Migrate for Anthos process
Module 04 Kubernetes Operations
- Work with the Kubectl Command.
- Inspect the Cluster and Pods.
- View a Pod’s Console Output.
- Sign in to a Pod Interactively.
Module 05 Deployment, Jobs, and Scaling
- Ways to Create Deployments
- Services and Scaling
- Updating Deployments
- Rolling Updates
- Blue/Green Deployments
- Canary Deployments
- Managing Deployments
- Jobs and CronJobs
- Parallel Jobs
- Cluster Scaling
- Node Pools
- Controlling Pod Placement
- Affinity and Anti-Affinity
- Pod Placement Example
- Taints and Tolerations
- Getting Software into your Cluster
- Create and Use Deployments.
- Create and Run Jobs and CronJobs.
- Scale Clusters Manually and Automatically.
- Configure Node and Pod Affinity.
- Get Software into your Cluster with Helm Charts and Kubernetes Marketplace.
Module 06 GKE Networking
- Pod Networking
- Finding Services
- Service Types and Load Balancers
- How Load Balancers Work
- Ingress Resource
- Container-Native Load Balancing
- Network Security
- Create Services to expose applications that are running within Pods.
- Use load balancers to expose Services to external clients.
- Create Ingress resources for HTTP(S) load balancing.
- Leverage container-native load balancing to improve Pod load balancing.
- Define Kubernetes network policies to allow and block traffic to Pods.
Module 07 Persistent Data and Storage
- Volume Types
- The PersistentVolume Abstraction
- More on PersistentVolumes
- Use Secrets to isolate security credentials.
- Use ConfigMaps to isolate configuration
- Push out and roll back updates to Secrets and ConfigMaps.
- Configure Persistent Storage Volumes for Kubernetes Pods.
- Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts.
Module 08 Access Control and Security in Kubernetes and Kubernetes Engine
- Understand Kubernetes Authentication and Authorization
- Define Kubernetes RBAC Roles and Role Bindings for Accessing Resources in Namespaces
- Define Kubernetes RBAC Cluster Roles and ClusterRole Bindings for
- Accessing Cluster-scoped Resources
- Define Kubernetes Pod Security Policies
- Understand the Structure of IAM
- Define IAM roles and Policies for Kubernetes Engine Cluster Administration
- Define IAM roles and policies for GKE.
- Define Kubernetes RBAC roles and role bindings.
- Define Kubernetes pod security policies
Module 09 Logging and Monitoring
- Use Cloud Monitoring to monitor and manage availability and performance
- Locate and inspect Kubernetes logs
- Create probes for wellness checks on live applications
- Create forensic logs for systems monitoring.
- Monitor your system performance from different vantage points.
- Create probes for wellness checks on live applications.
Module 10 Using Google Cloud Managed Storage Services from Kubernetes Applications
- Understand Pros and Cons for Using a Managed Storage Service Versus Self-managed Containerized Storage
- Enable Applications Running in GKE to Access Google Cloud Storage Services
- Understand Use Cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes Application
- Understand use cases for Cloud Storage within a Kubernetes application.
- Understand use cases for Cloud SQL and Cloud Spanner within a Kubernetes application.
- Understand use cases for Datastore within a Kubernetes application
- Understand use cases for Cloud Bigtable within a Kubernetes application.
Module 11 Logging and Monitoring
- CI/CD overview
- CI/CD for Google Kubernetes Engine
- CI/CD Examples
- Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline.
- Create a continuous delivery pipeline using Cloud Build and start it manually or automatically with a code change. Implement a canary deployment that hosts two versions of your application in production for release testing.