GKE Fleets
1. GKE Fleets
Google Kubernetes Engine, or GKE, is a powerful container orchestration tool that helps you manage your clusters in Google Cloud. But what if you have many clusters spread across different projects? Or maybe your clusters are hosted outside Google Cloud, either on-premises, in other public clouds, or both. How do you successfully manage all this infrastructure? GKE offers extended capabilities like multi-environment deployments, consistent data security, and multi-cluster capability. GKE provides tools and features to help govern, manage, and operate containerized workloads at enterprise scale, enabling you to adopt the same best practices and principles that Google uses to run their services. You can use GKE to modernize your existing applications and infrastructure without needing to completely rebuild them, use a unified cloud-operating model to create, update, and optimize container clusters, regardless of where they're located, scale large multi-cluster applications as fleets-- logical groupings of similar environments with consistent security, configuration, and service management-- and enforce consistent governance and security from a unified control plane. GKE uses fleets to streamline operations and provide a unified platform for managing multiple clusters. A fleet is a logical grouping of Kubernetes clusters that can be managed together. A fleet can include any Kubernetes cluster, whether it's running on Google Cloud, on-premises, or on another public cloud, like AWS or Azure. This course focuses on GKE clusters running on Google Cloud. And GKE expands beyond just Kubernetes. Yes, Kubernetes is at its core, but it incorporates other Google Cloud Services and engineering practices to simplify multi-cluster and multi-cloud workloads. Additional GKE services and tools that span beyond Kubernetes include configuration and policy management tools to scale your workloads by automatically adding and updating identical configurations, features, and security policies across your fleet. Team management tools provide team access and visibility to infrastructure resources and workloads. Cloud Service Mesh provides powerful tools for application security, networking, and observability across your cluster infrastructure-- often called a mesh-- for microservice-based applications running in your fleet, and identity management features to consistently configure authentication for fleet workloads and users, and observability features to monitor and troubleshoot your clusters and applications, including their health, resource utilization, and security posture.2. Let's practice!
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