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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

(1-1 of 1)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
  • easy setup for users
  • strong documentation
  • integration with other GCP services
  • errors from liveness probes can be ambiguous to resolve
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.
  • 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
  • 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
  • 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
  • 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.
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