מתווה קורס מפורט
Module 1 - Workloads: Deployments and Jobs
- Creating deployments.
- Inspecting deployments.
- Updating deployments.
- Adopting other deployment strategies.
- Using Jobs and Cronjobs
- Cluster scaling.
- Controlling Pod placement with labels and affinity rules.
- Controlling Pod placement with taints and tolerations.
- Getting software into your cluster.
Module 2 - Google Kubernetes Engine Networking
- Pod networking
- Kubernetes Services
- Service type and load balancers
- Ingress
- Container-native load balancing
- Network policies
Module 3 - Persistent Data and Storage
- Volumes
- Ephemeral volumes
- Durable volumes
- Statefulsets
- Configmaps
- Secrets
Module 4 - Access Control and Security in Kubernetes and Google Kubernetes Engine
- Explore Kubernetes authentication and authorization.
- Define Kubernetes RBAC and how it works with IAM to secure GKE clusters.
- Configure Workload Identity to access Google Cloud services from within GKE.
- Secure GKE with Pod Security Standards and Pod Security Admission.
- Implement Role-Based Access Control with GKE.
Module 5 - Google Kubernetes Engine Logging and Monitoring
- Cloud Observability
- Cloud Logging
- Cloud Monitoring
- Inspecting logs with the kubectl command
- Inspecting logs with Cloud Logging and logging agents
Module 6 - Using Google Cloud Managed Storage Services with Google Kubernetes Engine
- Using Google Cloud services
- Using Cloud Storage
- Using Google Cloud databases
- Using Cloud SQL and SQL Auth Proxy.
- Comparing storage options.
Module 7 - Using CI/CD with Google Kubernetes Engine
- What is CI/CD?
- CI/CD pipeline construction
- CI/CD tools available in Google Cloud
- Best practices for using CI/CD on Google Cloud
Module 8 - Course Summary