Kubernetes Engine

Reliable, efficient, and secured way to run Kubernetes clusters

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Containerized Application Management at Scale

Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.

Launched in 2015, Kubernetes Engine builds on Google’s experience of running services like Gmail and YouTube in containers for over 12 years. Kubernetes Engine allows you to get up and running with Kubernetes in no time, by completely eliminating the need to install, manage, and operate your own Kubernetes clusters.

Deploy a Wide Variety of Applications

Kubernetes Engine enables rapid application development and iteration by making it easy to deploy, update, and manage your applications and services. Kubernetes Engine isn’t just for stateless applications either; you can attach persistent storage, and even run a database in your cluster. Simply describe the compute, memory, and storage resources your application containers require, and Kubernetes Engine provisions and manages the underlying cloud resources automatically. Support for hardware accelerators makes it easy to run Machine Learning, General Purpose GPU, High-Performance Computing, and other workloads that benefit from specialized hardware accelerators.

Operate Seamlessly with High Availability

Control your environment from the built-in Kubernetes Engine dashboard in Google Cloud console. Use routine health checks to detect and replace hung, or crashed, applications inside your deployments.Container replication strategies, monitoring, and automated repairs help ensure that your services are highly available and offer a seamless experience to your users. Google Site Reliability Engineers (SREs) constantly monitor your cluster and its compute, networking, and storage resources so you don't have to, giving you back time to focus on your applications.

Scale Effortlessly to Meet Demand

Go from a single machine to thousands: Kubernetes Engine autoscaling allows you to handle increased user demand for your services, keeping them available when it matters most. Then, scale back in the quiet periods to save money, or schedule low-priority batch jobs to use up spare cycles. Kubernetes Engine helps you get the most out of your resource pool.

Run Securely on Google’s Network

Connect to and isolate clusters no matter where you are with fine-grained network policies using Global Virtual Private Cloud (VPC) in Google Cloud. Use public services behind a single global anycast IP address for seamless load balancing. Protect against DOS and other types of edge attacks on your containers.

Move Freely between On-premises and Clouds

Kubernetes Engine runs Certified Kubernetes ensuring portability across clouds and on-premises. There’s no vendor lock-in: you’re free to take your applications out of Kubernetes Engine and run them anywhere Kubernetes is supported, including on your own on-premises servers. You can tailor integrations such as monitoring, logging, and CI/CD using Google Cloud Platform (GCP) and third party solutions in the ecosystem.

Deploy a Kubernetes Cluster and Update Production Code in Seconds

Now it's your turn. Type commands into the following terminal emulator and learn how to create a Kubernetes cluster on Kubernetes Engine.

Kubernetes Engine Features

Run containerized applications on production-ready Kubernetes, managed by Google Cloud.

Identity & Access Management
Control access in the cluster with your Google accounts and role permissions.
Hybrid Networking
Reserve an IP address range for your cluster, allowing your cluster IPs to coexist with private network IPs via Google Cloud VPN.
Security and Compliance
Kubernetes Engine is backed by Google security team of over 750 experts and is both HIPAA and PCI DSS 3.1 compliant.
Integrated Logging & Monitoring
Enable Stackdriver Logging and Stackdriver Monitoring with simple checkbox configurations, making it easy to gain insight into how your application is running.
Auto Scale
Automatically scale your application deployment up and down based on resource utilization (CPU, memory).
Auto Upgrade
Automatically keep your cluster up to date with the latest release version of Kubernetes. Kubernetes release updates are quickly made available within Kubernetes Engine.
Auto Repair
When auto repair is enabled, if a node fails a health check Kubernetes Engine initiates a repair process for that node.
Resource Limits
Kubernetes allows you to specify how much CPU and memory (RAM) each Container needs, which is used to better organize workloads within your cluster.
Stateful Application Support
Kubernetes Engine isn’t just for 12-factor apps. You can attach persistent storage to containers, and even host complete databases.
Docker Image Support
Kubernetes Engine supports the common Docker container format.
Fully Managed
Kubernetes Engine clusters are fully managed by Google Site Reliability Engineers (SREs), ensuring your cluster is available and up-to-date.
OS Built for Containers
Kubernetes Engine runs on Container-Optimized OS, a hardened OS built and managed by Google.
Private Container Registry
Integrating with Google Container Registry makes it easy to store and access your private Docker images.
Fast Consistent Builds
Use Google Cloud Build to reliably deploy your containers on Kubernetes Engine without needing to setup authentication.
Workload Portability, on-premises and cloud
Kubernetes Engine runs Certified Kubernetes, enabling workload portability to other Kubernetes platforms across clouds and on-premises.
GPU supportBETA
Kubernetes Engine supports GPU and makes it easy to run ML, GPGPU, HPC, and other workloads that benefit from specialized hardware accelerators.
Built-in dashboard
GCP Console offers useful dashboards for your project's clusters and their resources. You can use these dashboards to view, inspect, manage, and delete resources in your clusters.

Kubernetes Engine Pricing

Kubernetes Engine charges according to Compute Engine instance pricing for each node in your cluster, until a cluster is deleted. Learn more in our pricing guide.

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