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Google Kubernetes Engine

Google Kubernetes Engine

Overview

What is Google Kubernetes Engine?

Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.

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Recent Reviews
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Awards

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Pricing

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Autopilot Mode - 3 year commitment price (USD)

$0

Cloud
GKE Autopilot Ephemeral Storage Price GB-hr

Autopilot Mode - 1 year commitment price (USD)

$0.0000438

Cloud
GKE Autopilot Ephemeral Storage Price GB-hr

Autopilot Mode - Regular Price

$0.0000548

Cloud
GKE Autopilot Ephemeral Storage Price GB-hr

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://cloud.google.com/kubernetes…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $0.04 vCPU-hr Autopilot Mode
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Product Details

What is Google Kubernetes Engine?

Google Kubernetes Engine Video

A Short Explanation into Google Kubernetes Engine

Google Kubernetes Engine Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.

Google Kubernetes Engine starts at $0.0445.

Reviewers rate Usability and Support Rating highest, with a score of 9.

The most common users of Google Kubernetes Engine are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(66)

Attribute Ratings

Reviews

(1-3 of 3)
Companies can't remove reviews or game the system. Here's why
June 06, 2022

Best-in-market managed Kubernetes solution

NG
Nic Georgakopoulos
DevOps
Deloitte Digital (Internet, 1001-5000 employees)
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We use GKE to deploy our in-hours custom-made applications along with popular public applications like prometheus/grafana. The applications that we deploy and need to support are both stateful and stateless.
Pros and Cons
  • Deployment of a new GKE cluster is really fast in comparison to other cloud providers.
  • GCP is ahead other vendors and always provide the most up to date Kubernetes version.
  • GKE automation for master upgrade and the worker nodes pool works really well.
  • Support of IPv6.
  • Better GitOps.
  • A "serverless" Kubernetes so we can install Google config connector will be really awesome.
  • Container-native load balancers do not support internal TCP/UDP load balancers or network load balancers.
Likelihood to Recommend
GKE is the best managed Kubernetes solution out there, it is very well suited to deploy all kinds of application loads for Dev or Production. If you need to migrate your current workload from a monolithic infrastructure or VMs towards a container solution GKE is the go-to for the best results in terms of stability and feature-rich. If you are looking to take full advantage of IPv6 then GKE might not meet your expectations. Container-native load balancers do not support internal TCP/UDP load balancers or network load balancers, functionality of container-native load balancing is currently limited to the HTTP(S) /L7 load balancers only.
Return on Investment
  • Easy to use Kubernetes cluster.
  • Feature rich (istio/monitoring/logging).
  • Easy to upgrade and keep it up to date.
Support Rating
9
We had to engage support a couple of times and their response was always quick and the engineers dealing with our case very well trained and knowledgeable about the product.
Usability
9
GKE has nice integrations with other GCP services like monitoring, logging, node pools autoscaling.
April 28, 2022

GKE - good if you are using other GCP services

Verified User
Contributor in Other
Health, Wellness and Fitness Company, 501-1000 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
The major issue that Google Kubernetes Engine solves for us is that as a managed service, it makes maintenance of the cluster much easier - autoscaling and updating nodes, reliable, and cost-effective.
Using the cluster to keep the microservices for an application up and running - it is intended for workloads that can scale.
Pros and Cons
  • easy setup for users
  • strong documentation
  • integration with other GCP services
  • errors from liveness probes can be ambiguous to resolve
Likelihood to Recommend
Google Kubernetes Engine is well suited for dynamic and large workloads since it can scale up with usage. It is easily configurable, which allows for flexibility.
User interface is simple to navigate, which reduces roadblocks for a team with people unfamiliar with Kubernetes.
Great if you are already using other GCP services as it integrates well with that.
Return on Investment
  • Easy to use UI makes it easy to get started
  • Solid documentation has saved time
  • Integration with other GCP services reduces the need to explore alternatives
Support Rating
9
  • GCP makes submitting support tickets on the platform easy and provides a form that makes collecting information on any issue convenient
  • having a paid support contract might be helpful as it allows for better detail and attention devoted to a problem specific to your team
  • abundant documentation makes navigating GKE a lot easier
Usability
9
  • Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly
  • Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly
  • Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files
Professional Services
9
  • When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.
August 28, 2019

Easy for those already on the Google Cloud platform

Verified User
Manager in Information Technology
Higher Education Company, 51-200 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Google Kubernetes Engine is being used by our I.T. Department as part of its Cloud Infrastructure. At this time we have decided on Google Kubernetes Engine as our primary tool for Kubernetes and are running test/evaluation workloads with it. The idea is to drive down our cloud infrastructure costs by moving resources off general-purpose cloud environments.
Pros and Cons
  • Simple setup for new users
  • Easy integration with existing Google Cloud environments
  • Cost effective
  • Not as intuitive as it could be
  • Documentation could be better, especially for people using other Google Cloud tools
  • Not the preferred Kubernetes Engine for many apps
Likelihood to Recommend
Google Kubernetes Engine is a natural addition for users/organizations already using the Google Cloud Platform. For us, it was a simple addition and was up and running within minutes. Our challenge has been that the public documentation for applications that use Kubernetes is aimed at Amazon Web Services, so it requires extra research and work to get running on Google Kubernetes.
Return on Investment
  • Reduced cloud computing costs.
  • Easier management of applications.
  • Extra time investment to learn how to setup applications in Google versus Amazon.
Usability
8
If you are familiar with the Google Cloud Platform, the Kubernetes Engine is a natural addition. It uses the same easy interface and can be tied into an organization's existing Google Cloud infrastructure. For an organization new to Kubernetes, we were impressed by how easy it is to use and get an application operational.
Support Rating
8
Direct application support and documentation for Google Kubernetes is still significantly lacking. Anyone getting an application running on the platform will mostly be on their own. The world is dominated by Amazon. Having a paid support contract with the Google Cloud Platform should help, however, our organization does not have one which complicated things.
Alternatives Considered
Our organization went with Google's Kubernetes Engine because we are already significantly invested in the Google Cloud Platform. In our evaluation of Amazon's Elastic Kubernetes Service we were turned off by recent concerns about Amazon becoming overly dominant in the cloud computing sphere and as a result its long-term viability. Google Kubernetes Engine was just a natural move forward for us and easy to use.
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