Google Kubernetes Engine (GKE)

With support for up to 65,000-node clusters, integration with AI Hypercomputer, and GPU and TPU support, GKE makes it easy to run ML, HPC, and other workloads that benefit from specialized hardware accelerators.

GKE inference capabilities with gen AI-aware scaling and load balancing techniques help to reduce serving costs by over 30%, tail latency by 60%, and increase throughput by up to 40% compared to other managed and open source Kubernetes offerings.

GKE provides security at scale with built-in best practices, compliant infrastructure, and real-time alerts, so you can quickly and swiftly mitigate security threats and compliance issues in a unified view.

Backed by a Google security team of over 750 experts, GKE’s built-in security posture includes patching and hardening, isolation and segmentation, Confidential GKE Nodes, identity and access management, and integrations with Cloud Logging and Cloud Monitoring. 

Plus, with GKE Sandbox, you can add a second layer of defense between containerized workloads on GKE for enhanced workload security.

Fleets and Teams can be used to organize clusters and workloads and assign resources to multiple teams easily to improve velocity and delegate ownership. Team scopes let you define subsets of fleet resources on a per-team basis, with each scope associated with one or more fleet member clusters.

You might choose multiple clusters to separate services across environments, tiers, locales, teams, or infrastructure providers. Fleets strive to make managing multiple clusters as easy as possible.

GKE runs Certified Kubernetes and embraces open standards to let customers run their applications, unmodified, on existing on-premises hardware investments or in the public cloud. 

GKE attached clusters lets you register, or attach, any conformant Kubernetes cluster you’ve created yourself to the GKE management environment. Attaching a cluster gives you GKE management and control over it, along with access to additional features like Config Sync, Cloud Service Mesh, and Fleets.