24. GKE Security: GKE provides various security features, such as encryption of data at rest, container-native load balancing, and integration with Google Cloud security services like Cloud Armor and Identity-Aware Proxy.
25. GKE Add-ons: GKE supports add-ons that extend the functionality of the platform, such as Istio for service mesh, Knative for serverless applications, and Cloud Run for running containers as a service.
26. GKE Networking: GKE provides advanced networking features like VPC-native clusters, alias IPs, and network peering, allowing for seamless integration with your existing network infrastructure and providing low-latency communication between services.
27. Resource Quotas: Resource quotas can be applied to namespaces to limit the amount of resources consumed by applications within that namespace. This helps ensure fair usage of cluster resources and prevents a single application from consuming all available resources.

• Command: kubectl create -f [RESOURCE_QUOTA_MANIFEST_FILE]

28. GKE Maintenance Windows: Maintenance windows allow you to define specific time periods during which GKE can perform maintenance tasks like node upgrades and repairs. This helps minimize the impact of maintenance on your applications and users.

• Command: gcloud container clusters update [CLUSTER_NAME] –zone [ZONE] –maintenance-window=[MAINTENANCE_WINDOW]

29. GKE Pricing: GKE offers various pricing options, including pay-as-you-go, committed use contracts, and preemptible VMs. Understanding the different pricing models can help you optimize costs for your workloads.
30. GKE Best Practices: Following GKE best practices, such as using namespaces, labeling resources, and monitoring your applications, ensures that your clusters run efficiently, securely, and reliably.
31. GKE Upgrade Strategies: GKE supports multiple upgrade strategies, such as automatic and manual upgrades, to ensure your clusters are always running the latest Kubernetes version with the latest security patches and features.

• Command: gcloud container clusters upgrade [CLUSTER_NAME] –zone [ZONE] –master

32. GKE and Anthos: Anthos is Google Cloud’s hybrid and multi-cloud application platform that allows you to modernize, build, and deploy applications across on-premises, GKE, and other cloud environments. GKE serves as a key component of the Anthos platform.
33. GKE and Service Mesh: Service mesh technologies, such as Istio, can be integrated with GKE to provide advanced traffic management, security, and observability features for your microservices architecture.

• Command: gcloud beta container clusters create [CLUSTER_NAME] –addons=Istio –istio-config=auth=[AUTH_MODE]

34. GKE and CI/CD: GKE integrates with various CI/CD tools and platforms, such as Cloud Build, Jenkins, and GitLab, to automate the building, testing, and deployment of containerized applications.
35. GKE Custom Resource Definitions (CRDs): CRDs allow you to extend the Kubernetes API by defining your own custom resources. This enables you to manage and store additional application-specific data within your GKE cluster.

• Command: kubectl create -f [CRD_MANIFEST_FILE]

36. GKE and GitOps: GitOps is a methodology for managing application deployments and infrastructure updates using Git repositories as the source of truth. GKE can be integrated with GitOps tools like Argo CD and Flux to automate application deployments and infrastructure updates based on changes in Git repositories.
37. GKE and Serverless: GKE supports serverless computing through the use of Knative, which enables you to build, deploy, and manage serverless applications on your GKE cluster.

• Command: gcloud beta container clusters create [CLUSTER_NAME] –addons=Knative

38. GKE and Windows Containers: GKE supports running Windows containers alongside Linux containers, allowing you to deploy and manage Windows-based applications in your GKE cluster.

• Command: gcloud container node-pools create [NODE_POOL_NAME] –cluster [CLUSTER_NAME] –image-type=WINDOWS_LTSC –zone [ZONE]

39. GKE and GPUs: GKE supports running containers with GPUs, enabling you to perform GPU-accelerated workloads like machine learning and data processing in your cluster.

• Command: gcloud container clusters create [CLUSTER_NAME] –zone [ZONE] –accelerator=[ACCELERATOR_TYPE]=[ACCELERATOR_COUNT]

40. GKE and Virtual Machines: GKE can be used alongside Google Compute Engine to manage both containerized and VM-based applications, providing a unified platform for managing all your infrastructure needs.

41. GKE Backup and Disaster Recovery: GKE provides features to ensure high availability, fault tolerance, and disaster recovery, such as regional clusters, node auto-repair, and integration with backup solutions like Velero.
42. GKE and Cloud NAT: GKE can be integrated with Cloud NAT to provide outbound internet connectivity for your private GKE clusters, ensuring that your cluster nodes can access external resources without being exposed to the public internet.

• Command: gcloud compute routers nats create [NAT_NAME] –router=[ROUTER_NAME] –nat-all-subnet-ip-ranges –enable-logging

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