Architecting with Google Kubernetes Engine Training
This course will teach you how to create, monitor and maintain Kubernetes clusters on Google Kubernetes Engine (GKE). You will learn how to secure applications deployed to Kubernetes and to provision resources such as storage and networks for your Kubernetes applications.
Course Outline
Module 1
- Introduction to Google Cloud Platform
- Use the Google Cloud Platform Console
- Use Cloud Shell
- Create GCP projects
- Understand the differences among GCP compute platforms
- Cloud Resource Manager, Quotas, Billing
Module 2
- Launching Workloads in Kubernetes Engine
- Understand the architecture of Kubernetes: pods, namespaces
- Understand the components of Kubernetes
- Create Docker containers using Google Container Builder
- Store container images in Google Container Registry
- Create a Kubernetes Engine cluster
- Install software using Helm charts
Module 3
- Debugging, Monitoring, Logging, Error Reporting
- Introspect Kubernetes containers
- View pod logs
- Troubleshoot common Kubernetes problems
- Use Stackdriver Kubernetes Monitoring
- Use Prometheus monitoring with Stackdriver
Module 4
- Scheduling and Autoscaling Workloads in Kubernetes Engine
- Apply labels
- Create and manage Deployments
- Perform rolling upgrades and rollbacks of Deployments
- Define Services
- Expose Services with LoadBalancers and NodePorts
- Run cron jobs
- Control pod execution with taints and tolerations
- Configure Kubernetes Engine clusters for autoscaling
Module 5
- Kubernetes and Google Cloud VPC Networking Fundamentals
- Understand the Kubernetes networking model
- Understand how Kubernetes networking differs from Docker networking
- Understand how Kubernetes networking differs from Compute Engine networking
- Understand VPC networks and subnets
- Understand load balancer types
- Use Kubernetes DNS
Module 6
- Persistent Data and Storage
- Use Secrets to isolate security credentials
- Use ConfigMaps to isolate configuration artefacts
- 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 7
- 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 cluster role bindings for accessing cluster-scoped resources
- Define Kubernetes pod security policies to only allow pods with specific security-related attributes to run
- Define Kubernetes network policies to allow and block traffic to pods Understand the structure of GCP IAM
- Define IAM roles and policies for Kubernetes Engine cluster administration
- Decide between building one larger cluster and many smaller clusters
Module 8
- Using GCP Managed Storage Services from Kubernetes Applications
- Understand the pros and cons of using a managed storage service versus self-managed containerized storage
- Understand use cases for Cloud Storage, and use Cloud Storage from within a Kubernetes application
- Understand use cases for Cloud SQL and Cloud Spanner and use them from within a Kubernetes application
- Understand use cases for Cloud Datastore, and use Cloud Datastore from within a Kubernetes application
- Understand use cases for Bigtable, and use Bigtable from within a Kubernetes application
Please contact us for any queries via phone or our contact form. We will be happy to answer your questions.
3 Appian Place,373 Kent Ave
Ferndale,
2194 South Africa
Tel: +2711-781 8014 (Johannesburg)
+2721-020-0111 (Cape Town)
ZA
Ferndale,
2194 South Africa
Tel: +2711-781 8014 (Johannesburg)
+2721-020-0111 (Cape Town)
ZA
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