Introduction
1. Introduction
Multi-cluster GKE infrastructure provides a centrally managed, highly available, and secure platform for running your containerized workloads at scale. Before exploring the architecture and features of multi-cluster GKE, let's begin with the review of single cluster Google Kubernetes Engine and containers. Containers are portable, standalone, executable packages of software that include everything needed to run an application-- code, runtime, system tools, system libraries, and settings. DevOps teams can leverage containers to rapidly deploy and scale applications. Managing containers at scale is complex and involves tasks like placement, traffic distribution, and release management. Kubernetes automates container management tasks by providing platform as a service features like automated placement, service discovery and load balancing, automated rollouts and rollbacks, resource management, health monitoring and healing, and centralized management for containerized applications. Google Kubernetes Engine, or GKE, is a fully managed service that handles infrastructure provisioning, networking, load balancing, security, and upgrades. GKE offers a user-friendly console, scalability, high availability, security, and cost-effectiveness. Now that you've reviewed GKE and containers, let's transition to scaling GKE to multi-cluster architectures. Understanding the difference in a scaled architecture is critical for leveraging GKE capabilities and optimizing your multi-cluster scale deployments. So in this section of this course, titled Multi-cluster GKE Architecture, you'll learn to recognize how GKE can be used to centralize cluster management for multi-cluster environments; examine the architecture of multi-cluster GKE; create, connect, and manage GKE fleet clusters; and securely access GKE fleet clusters.2. Let's practice!
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