AWS Auto Scaling vs. Mirantis Kubernetes Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Auto Scaling
Score 8.6 out of 10
N/A
AWS Auto Scaling monitors applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. The vendor states that using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes.N/A
Mirantis Kubernetes Engine
Score 9.4 out of 10
N/A
The Mirantis Kubernetes Engine (formerly Docker Enterprise, acquired by Mirantis in November 2019)aims to let users ship code faster. Mirantis Kubernetes Engine gives users one set of APIs and tools to deploy, manage, and observe secure-by-default, certified, batteries-included Kubernetes clusters on any infrastructure: public cloud, private cloud, or bare metal.
$500
per year per node
Pricing
AWS Auto ScalingMirantis Kubernetes Engine
Editions & Modules
No answers on this topic
Free
$0.00
per year
Basic
$500.00
per year
Offerings
Pricing Offerings
AWS Auto ScalingMirantis Kubernetes Engine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details—These pricing options are compatible with Linux or Windows Server and are per year, per node. The basic version requires maximum online purchase not to exceed 50 nodes. Support/professional services are not included.
More Pricing Information
Community Pulse
AWS Auto ScalingMirantis Kubernetes Engine
Top Pros
Top Cons
Best Alternatives
AWS Auto ScalingMirantis Kubernetes Engine
Small Businesses
NGINX
NGINX
Score 9.1 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.4 out of 10
Medium-sized Companies
NGINX
NGINX
Score 9.1 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.4 out of 10
Enterprises
NGINX
NGINX
Score 9.1 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Auto ScalingMirantis Kubernetes Engine
Likelihood to Recommend
8.1
(4 ratings)
8.3
(37 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(1 ratings)
Usability
-
(0 ratings)
8.0
(2 ratings)
Support Rating
-
(0 ratings)
7.8
(3 ratings)
User Testimonials
AWS Auto ScalingMirantis Kubernetes Engine
Likelihood to Recommend
Amazon AWS
1. When down time needs to be eliminated. 2. Have templates that can be used for future application deployments. 3. Templates can serve as a documentation for keep track of server configuration. 4. Handling of high usage periods like reporting season.
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Mirantis
[Mirantis Cloud Native Suite (Docker Enterprise)] is the most advanced tool till now, which works as a VMs
and separates any single application from the dependencies. Also, this tool is
helping me in the agile development of the processes. It is strongly recommended to
almost all major organizations.
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Pros
Amazon AWS
  • Better fault tolerance
  • Better availability[,] Amazon EC2 Auto Scaling helps ensure that your application always has the right amount of capacity to handle the current traffic demand
  • Better cost management
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Mirantis
  • Containers - Docker is the go-to when using Containers, which are super useful if you need an environment that works both for Windows and Linux
  • Efficiency - Docker is very lightweight and doesn't demand too much from your CPU or server
  • CI/CD - Docker is excellent for plumbing into your build pipeline. It integrates nicely, is reliable, and has an easy set up.
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Cons
Amazon AWS
  • Provide more documentations.
  • Provide in-house training for better use of product.
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Mirantis
  • Containers are often opaque - if a container doesn't work out of the box, it's messy to fix.
  • Logging is complexified by the multiple containers and logs are often not piped to places you expect them to be.
  • Networking is complexified due to internal port mapping between containers, etc.
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Usability
Amazon AWS
No answers on this topic
Mirantis
Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.
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Support Rating
Amazon AWS
No answers on this topic
Mirantis
The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.
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Alternatives Considered
Amazon AWS
1. AWS Auto Scaling has better UI level configuration. 2. Akamai is cheaper.
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Mirantis
We've used XAMPP, PHPmyAdmin and similar local environments (our app is on PHP). Because of how easy you can change the configuration of libraries on PHP and versions (which is SO painful on XAMPP or other friendly LAMP local servers) we are using Docker right now. Also, being sure that the environment is exactly the same makes things easier for developing.
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Return on Investment
Amazon AWS
  • optimized the cost effectiveness
  • save lot of money which help the organization to use it in effective areas
  • Not applicable for all use cases.It is specific use cases and business problems
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Mirantis
  • Docker has made it possible for us to deploy code faster, increasing the productivity of our development teams.
  • Docker has made it possible for us to decentralize our build and release system. This means that teams can deploy on their own schedule and our dev ops team can concentrate on building better tools rather than deploying for the teams
  • Docker has allowed us to virtualize our entire development process and made it much simpler to build out new data centers. This, in turn, is significantly increasing our ROI by providing a path forward for internationalization.
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ScreenShots