Kubernetes Engine

Deploy, manage, and scale containerized applications on Kubernetes, powered by Google Cloud

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Containerized Application Management at Scale

Google Kubernetes Engine is a managed 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.

Google has been running production workloads in containers for over 15 years, and we build the best of what we learn into Kubernetes, the industry-leading open source container orchestrator which powers Kubernetes Engine.

Ship Early, Ship Often

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 will provision and manage the underlying cloud resources automatically.

Reliable and Self-Healing

Google Site Reliability Engineers (SREs) constantly monitor your cluster and its compute, networking, and storage resources so you don't have to. Liveness checks detect and replace hung or crashed applications inside your deployments. Using included container replication strategies, monitoring, and automated repairs, you can achieve highly available services and offer a seamless experience to your users.

Resource-Optimized Deployments

Kubernetes Engine handles the scheduling, so you can focus on your application. Your containerized workloads are deployed using sophisticated scheduling that gets the most out of your VMs for better resource optimization. Mix a variety of workloads, such as frontend, backend, and batch workloads, on a shared pool of resources. You can define subsets of VMs with specific characteristics, such as preemptible VMs, to save money on lower-priority jobs.

Scale Effortlessly to Meet Demand

Go from a single machine to thousands: Kubernetes Engine autoscaling allows you to handle the increased user demand of 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.

Your Deployments, Your Way

We run upstream Kubernetes, a popular open source container orchestrator originally developed by Google, now managed by a diverse community of contributors. Kubernetes puts you in the driver's seat: you can customize system components including monitoring, logging, and CI/CD by taking advantage of any number of open source and commercial solutions designed for Kubernetes. There’s no vendor lock-in, you’re free to take your workloads out of Kubernetes Engine and run them anywhere Kubernetes is supported, including on your own on-premise servers.

Kubernetes Engine Features

Run Docker containers on Google Cloud Platform, powered by Kubernetes.

Identity & Access Management
Control access in the cluster with your Google accounts and role permissions.
Hybrid Networking
Reserve an IP address range for your container cluster, allowing your cluster IPs to coexist with private network IPs via Google Cloud VPN.
Security and Compliance
Kubernetes Engine is backed by the 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 is fully managed by Google 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 Container Builder to reliably deploy your containers on Kubernetes Engines without needing to setup authentication.
Open Source Portability
Kubernetes Engine runs upstream Kubernetes, enabling workload portability to other Kubernetes platforms across clouds and on-prem.

“Kubernetes Engine delivers a high-performing, flexible infrastructure that lets us independently scale components for maximum efficiency.”

- George Yianni Inventor of Hue and head of technology-connected lighting for the home at Philips Lighting

“Niantic chose Kubernetes Engine for its ability to orchestrate their container cluster at planetary-scale, freeing its team to focus on deploying live changes for their players.”

- Kubernetes Engine powers Pokémon GO

Kubernetes Engine Pricing

Kubernetes Engine charges a flat fee per hour per cluster for management, depending on the number of nodes in that cluster. Compute Engine instance pricing applies to nodes, until a cluster is deleted. Learn more in our pricing guide.

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Monthly
Hourly
Nodes in the cluster Referred to on your bill as... Price for cluster
0 to 5 nodes Basic Cluster
6+ nodes Standard Cluster
If you pay in a currency other than USD, the prices listed in your currency on Cloud Platform SKUs apply.

Increasing a cluster to 6 or more nodes automatically begins charging. Resizing down to 5 or fewer nodes automatically removes any charge going forward.
Compute Engine instance pricing applies to nodes, until a cluster is deleted.

Kubernetes Engine cluster pricing includes hosting and maintenance of the Kubernetes master.

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