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Google Kubernetes Engine VS Azure Kubernetes Service (AKS)

Compare Google Kubernetes Engine VS Azure Kubernetes Service (AKS) and see what are their differences

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Google Kubernetes Engine logo Google Kubernetes Engine

Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

Azure Kubernetes Service (AKS) logo Azure Kubernetes Service (AKS)

Container Management
  • Google Kubernetes Engine Landing page
    Landing page //
    2023-02-05
  • Azure Kubernetes Service (AKS) Landing page
    Landing page //
    2023-08-23

Google Kubernetes Engine features and specs

  • Managed Service
    GKE is a fully managed service, which means Google takes care of tasks like provisioning, maintenance, and updates of the cluster, reducing the operational burden on users.
  • Scalability
    GKE offers robust scalability options, allowing you to easily scale your applications up or down based on demand. This is facilitated through auto-scaling features for both nodes and pods.
  • Integration with Google Cloud Services
    GKE integrates seamlessly with other Google Cloud services such as Cloud Storage, BigQuery, and more, providing a streamlined experience for leveraging multiple cloud tools.
  • Security
    GKE offers advanced security features like private clusters, and integrates with Google Cloud IAM, which allows for fine-grained access control, helping to secure your Kubernetes environment.
  • Ease of Use
    GKE's comprehensive dashboard, command-line interface, and supporting documentation make it easy to deploy, manage, and monitor Kubernetes clusters.
  • Global Reach
    With GKE, you can deploy clusters across multiple regions and zones, giving you the ability to build highly available, geographically dispersed applications.

Possible disadvantages of Google Kubernetes Engine

  • Cost
    While GKE offers extensive features, it can be more expensive compared to other Kubernetes solutions, especially when additional services and high-availability features are utilized.
  • Limited Customization
    As a managed service, GKE has some limitations in terms of customization and control over the underlying infrastructure compared to self-managed Kubernetes environments.
  • Complexity
    Despite its ease of use features, GKE still requires a certain level of expertise to efficiently manage Kubernetes clusters, which can be a steep learning curve for beginners.
  • Dependence on Google Cloud
    Using GKE ties you to the Google Cloud ecosystem, which may limit flexibility if you decide to migrate to a different cloud provider or adopt a multi-cloud strategy.
  • Resource Constraints
    Like all cloud services, GKE nodes can be subject to resource limits and quotas imposed by Google Cloud, which can impact performance if not properly managed.
  • SLA and Downtime
    While Google Cloud offers Service Level Agreements (SLAs), there is still a risk of downtime which could affect your applications. Additionally, relying on a third-party provider means issues may take time to resolve.

Azure Kubernetes Service (AKS) features and specs

  • Managed Service
    AKS is a managed Kubernetes service, which means Azure handles critical tasks such as health monitoring and maintenance, reducing the operational overhead for development teams.
  • Integration with Azure Services
    AKS offers seamless integration with a wide range of Azure services such as Azure Active Directory, Azure Monitor, and Azure DevOps, providing a comprehensive ecosystem for building and managing applications.
  • Scalability
    AKS supports easy scaling of applications, which allows businesses to quickly adapt to changes in demand by adjusting the number of nodes or implementing autoscaling policies.
  • Enhanced Security
    With features such as Azure Policy, Role-Based Access Control (RBAC), and network isolation, AKS provides robust security mechanisms to protect containerized applications.
  • Cost Effective
    AKS does not charge for the Kubernetes control plane, so users only pay for the resources (VMs, storage) they use, which can make it cost-effective for many applications.

Possible disadvantages of Azure Kubernetes Service (AKS)

  • Complex Setup for Beginners
    For organizations or individuals new to Kubernetes, the initial setup and configuration of AKS can be complex and may require a steep learning curve.
  • Limited Customization
    As a managed service, AKS abstracts away some of the low-level control over Kubernetes components, which might not be ideal for all use cases that require extensive customization.
  • Regional Availability
    AKS is not available in all Azure regions, which may limit its use for globally distributed teams or applications that require specific regional deployments.
  • Dependency on Azure Ecosystem
    While tight integration with Azure services is an advantage, it can also be a limitation for organizations preferring multi-cloud or hybrid cloud strategies.

Google Kubernetes Engine videos

+ Add

Getting Started with Containers and Google Kubernetes Engine (Cloud Next '18)

More videos:

  • Review - Optimize cost to performance on Google Kubernetes Engine
  • Tutorial - Google Kubernetes Engine (GKE) | Coupon: UDEMYSEP20 - Kubernetes Made Easy | Kubernetes Tutorial

Azure Kubernetes Service (AKS) videos

+ Add

Introduction To Azure Kubernetes Service (AKS) | Azure Container Service | Azure Training | Edureka

Category Popularity

0-100% (relative to Google Kubernetes Engine and Azure Kubernetes Service (AKS))

Google Kubernetes Engine

Azure Kubernetes Service (AKS)

Developer Tools
86 86%
Developer Tools
14% 14
Cloud Computing
90 90%
Cloud Computing
10% 10
DevOps Tools
76 76%
DevOps Tools
24% 24
Containers As A Service
0 0%
Containers As A Service
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Kubernetes Engine and Azure Kubernetes Service (AKS)

Google Kubernetes Engine Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
Google Kubernetes Engine (GKE) is a prominent choice for a Kubernetes alternative. It is provided and managed by Google Cloud, which offers fully managed Kubernetes services.
Source: humalect.com
11 Best Rancher Alternatives Multi Cluster Orchestration Platform
Google Kubernetes Engine is a CaaS (container as a service) platform that lets you easily create, resize, manage, update, upgrade, and debug container clusters. Google Kubernetes Engine, aka GKE, was the first managed Kubernetes service, and therefore, it is highly regarded in the industry.
Source: technicalustad.com
Top 10 Best Container Software in 2022
If you need a speedy creation of developer environments, working on micro services-based architecture and if you want to deploy production grade clusters then Docker and Google Kubernetes Engine would be the most suitable tools. They are very well suited for DevOps team.
Source: www.softwaretestinghelp.com
7 Best Containerization Software Solutions of 2022
If you’re looking for a managed solution to help you deploy and scale containerized apps on your virtual machines quickly, Google Kubernetes Engine is a great choice.
Source: techgumb.com

Azure Kubernetes Service (AKS) Reviews

We have no reviews of Azure Kubernetes Service (AKS) yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Kubernetes Engine should be more popular than Azure Kubernetes Service (AKS). It has been mentiond 49 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Kubernetes Engine mentions (49)

  • Google Cloud Unveils A4 VMs with NVIDIA Blackwell GPUs for AI
    Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 1 month ago
  • Deploy Gemini-powered LangChain applications on GKE
    In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 3 months ago
  • Securing Applications Using Keycloak's Helm Chart
    Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 5 months ago
  • Simplify development of AI-powered applications with LangChain
    In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / 7 months ago
  • 26 Top Kubernetes Tools
    Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
View more

Azure Kubernetes Service (AKS) mentions (5)

  • Grant Kubernetes Pods Access to AWS Services Using OpenID Connect
    Having this foundation in place, it's easy to extend this pattern to managed Kubernetes clusters such as Azure Kubernetes Service (AKS) or Google Kubernetes Engine (GKE). All you need from the managed Kubernetes cluster is the OIDC configuration endpoint, which in turn has the JWKs URL. With that, you can create the trust relationship in AWS or any other Service Provider and grant the relevant access to your... - Source: dev.to / about 1 year ago
  • Microsoft Announced Application Gateway for Containers.
    Application Gateway for Containers is the evolution of the Application Gateway Ingress Controller (AGIC), a Kubernetes application that enables Azure Kubernetes Service (AKS) customers to use Azure's native Application Gateway application load-balancer. In its current form, AGIC monitors a subset of Kubernetes Resources for changes and applies them to the Application Gateway, utilizing Azure Resource Manager (ARM). Source: almost 2 years ago
  • Learn How to Dockerize Strapi v4
    Another option is to use Docker to facilitate the deployment to various cloud providers, or Kubernetes managed services such as Amazon EKS, Microsoft AKS, or others. - Source: dev.to / over 2 years ago
  • How To Deploy Apache Kafka With Kubernetes
    Instructions for setting up Kubernetes to run in your cloud provider of choice can be found in the documentation for each provider (for example, AWS, GCP, or Azure), but the YAML configuration files listed below should work across all providers, with minor adjustments for IP addresses and related fields. - Source: dev.to / almost 3 years ago
  • Getting started with AKS
    This place will help you to get started on the Kubernetes and AKS, even if you have a piece of simple knowledge on the cloud computing concepts. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing Google Kubernetes Engine and Azure Kubernetes Service (AKS), you can also consider the following products

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance​ container management service that supports Docker containers.

Rancher - Open Source Platform for Running a Private Container Service

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

Helios - Docker container orchestration platform, by Spotify

Amazon EKS - Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

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