Microsoft's Azure Kubernetes Service (AKS) is designed to make deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. It allows development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.
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Google Kubernetes Engine
Score 8.0 out of 10
N/A
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.
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Pricing
Azure Kubernetes Service (AKS)
Google Kubernetes Engine
Editions & Modules
No answers on this topic
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0000438
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Regular Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0014767
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0039380
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - Regular Price
$0.0049225
GKE Autopilot Price GB-hr
Autopilot Mode - Spot Price
$0.0133
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 3 year commitment price (USD)
$0.02
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0356000
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - Regular Price
$0.0445
vCPU Price vCPU-hr
Standard Mode
$0.10
per hour
Cluster Management
$0.10
per cluster per hour
Cluster Management
$74.40 monthly credit
per month per hour
Standard Mode - Free Version
Free
per hour
Offerings
Pricing Offerings
Azure Kubernetes Service (AKS)
Google Kubernetes Engine
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Kubernetes Service (AKS)
Google Kubernetes Engine
Considered Both Products
Azure Kubernetes Service (AKS)
Verified User
Anonymous
Chose Azure Kubernetes Service (AKS)
Integration with other standard azure services make Azure Kubernetes Service (AKS) case strong. As we use most of the azure services it is easy to integrate. It is difficult to use EKS as the user interface is not intuitive and difficult to integrate. The services need to be …
GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.
In comparison to functionality with EKS and AKS, it has a better upgrade path and the price is lower. Not sure why flannel is the primary overlay network provider but network policies are supported as well.
[Azure Kubernetes Service (AKS)] is great when you need to be able to deploy a large number of services in a highly repeatable way. Once you know how to use it, it is a very fast to stand up a new environment. However there is a lot you need to know to get to that point and it is a specialized area. This is not suitable for small teams who are supporting multiple product stacks.
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.
Barring certain missing features such as operator management , open cluster management, it does gives lot of options to host containerized applications. The GUI may be improved and can give user more insights to the cluster rather than using command line tools. The integration with standard azure monitoring tools is a big plus to use Azure Kubernetes Service (AKS)
It's a great product if you learn it. It has flexibility and is very strong. Autoscaling and Resource management make running huge applications a breeze. Using Helm with Kubernetes and Terraform for infrastructure creation can totally automate your CICD pipeline. You also get easy access to CUDA cores for machine learning.
Worked with very similar in-house-built Kubernetes/container management system. We are leveraging AKS as it's more robust and stable being in the technical space for quite some time. Also, it has got a vast number of management and security features which makes it more attractive. They even have a model where the cost can be reduced by up to 90% if the application can afford to handle a quick downtime once in a while.
We had to move several products to Google Cloud, and the Google Kubernetes Engine was the option recommended to us, so we investigated it and ran with it. Back then (2019), we were not aware of Cloud Run-provisioned K8s clusters, so our other option was a completely self-managed K8s cluster on Compute Engine VMs, which we did not have the knowledge of and capacity to handle.