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Google Kubernetes Engine VS Apache Aurora

Compare Google Kubernetes Engine VS Apache Aurora and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Apache Aurora logo Apache Aurora

Aurora is a Mesos framework for long-running services and cron jobs.
  • Google Kubernetes Engine Landing page
    Landing page //
    2023-02-05
  • Apache Aurora Landing page
    Landing page //
    2021-10-07

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.

Apache Aurora features and specs

No features have been listed yet.

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

Apache Aurora videos

+ Add

Introduction to Apache Aurora

More videos:

  • Review - William Farner - Introduction to Apache Aurora

Category Popularity

0-100% (relative to Google Kubernetes Engine and Apache Aurora)

Google Kubernetes Engine

Apache Aurora

Developer Tools
92 92%
Developer Tools
8% 8
Cloud Computing
100 100%
Cloud Computing
0% 0
DevOps Tools
86 86%
DevOps Tools
14% 14
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 Apache Aurora

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

Apache Aurora Reviews

We have no reviews of Apache Aurora yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Kubernetes Engine seems to be a lot more popular than Apache Aurora. While we know about 49 links to Google Kubernetes Engine, we've tracked only 1 mention of Apache Aurora. 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

Apache Aurora mentions (1)

  • Launch HN: Moonrepo (YC W23) – Open-source build system
    Take a look at Apache Aurora [1] if you want some inspiration on how to mold python into a config language. I used this system for a few years and mainly agree with the person you're replying to – having a proper programming language to define config is a very nice feature that I miss. [1]: https://aurora.apache.org/. - Source: Hacker News / about 2 years ago

What are some alternatives?

When comparing Google Kubernetes Engine and Apache Aurora, 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.

JPPF - The open source grid computing solution.

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

Gardener - Gardener's Supply is America's number one resource for gardening. Raised Beds, Pots and Planters, Supports, Soils and More. 100% Satisfaction Guaranteed.

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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