Azure DevOps Services vs. Mirantis Kubernetes Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure DevOps Services
Score 7.7 out of 10
N/A
Azure DevOps (formerly VSTS, Microsoft Visual Studio Team System) is an agile development product that is an extension of the Microsoft Visual Studio architecture. Azure DevOps includes software development, collaboration, and reporting capabilities.
$2
per GB (first 2GB free)
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.
$0
per year
Pricing
Azure DevOps ServicesMirantis Kubernetes Engine
Editions & Modules
Azure Artifacts
$2
per GB (first 2GB free)
Basic Plan
$6
per user per month (first 5 users free)
Azure Pipelines - Self-Hosted
$15
per extra parallel job (1 free parallel job with unlimited minutes)
Azure Pipelines - Microsoft Hosted
$40
per parallel job (1,800 minutes free with 1 free parallel job)
Basic + Test Plan
$52
per user per month
Free
$0.00
per year
Basic
$500.00
per year
Offerings
Pricing Offerings
Azure DevOps ServicesMirantis Kubernetes Engine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsThese 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
Azure DevOps ServicesMirantis Kubernetes Engine
Best Alternatives
Azure DevOps ServicesMirantis Kubernetes Engine
Small Businesses
GitHub
GitHub
Score 9.0 out of 10
Portainer
Portainer
Score 9.6 out of 10
Medium-sized Companies
GitHub
GitHub
Score 9.0 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
Perforce P4
Perforce P4
Score 7.7 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure DevOps ServicesMirantis Kubernetes Engine
Likelihood to Recommend
8.1
(0 ratings)
8.3
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
9.1
(0 ratings)
Usability
6.6
(0 ratings)
8.0
(0 ratings)
Support Rating
8.1
(0 ratings)
7.8
(0 ratings)
Implementation Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
Azure DevOps ServicesMirantis Kubernetes Engine
Likelihood to Recommend
ADO is well suited for the visibility of day-to-day tasks and responsibilities as well as things such as Features, user stories, etc. Off the top of my head, I can't think of any scenario where it might not be well suited, as you can customize ADO to your liking to a degree.
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Docker is great for when you would want to use a VM for any given application, but don't need the overhead of the whole OS. Docker containers use very little computing resources, boot up very quickly, and are very easy to set up. An instance where Docker may not be appropriate would be for an application that requires good security. If in this situation, a true VM would probably be your best bet.
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Pros
  • Flexible Requirements Hierarchy Management: AZDO makes it easy to track items such as features or epics as a flat list, or as a hierarchy in which you can track the parent-child relationship.
  • Fast Data Entry: AZDO was designed to facilitate quick data entry to capture work items quickly, while still enabling detailed capture of acceptance criteria and item properties.
  • Excel Integration: AZDO stands out for its integration with MS Excel, which enables quick updates for bulk items.
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  • Containerization - allowing multiple micro-services to function together without in-depth orchestration at the VM level.
  • Rapid deployment - a developer with appropriate access can simply push to the correct remote and the deploy happens automatically from there
  • Decouples provisioning from VM administration - allows containers to be deployed (more) regardless of VM set up.
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Cons
  • Need to make the changes so that it doesn't occupy most of the CPU utilization and memory
  • Execution of Bulky SQl Queries leads to either the SQl being out of exception or the VS being unresponsive
  • Integration with Microsoft products is easy, but with non-Microsoft products it is more difficult, and you have to make a lot of configuration changes to integrate
  • With every upgrade of the Visual Studio, like from VS 2010 to VS 2013 , we need to upgrade our hardware/machine, as the VS hardware requirement also increases
  • If code is getting compiled in one visual studio, like in VS 2010, that the same code could possibly give an error when compiled in VS 2013, due to certain changes in keyword, data format, etc., with the VS upgrade
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  • Docker has a bit of a learning curve, and it takes some time to become familiar with the tooling and syntax. Transitioning an existing architecture to docker can represent a significant investment.
  • Docker attempts to provide some level of cross-host container orchestration via swarm, but it falls short of third-party solutions like kubernetes.
  • We occasionally run into stability issues when the docker daemon is subjected to high load (many applications starting/stopping frequently). In these cases, docker hangs and we have to restart or replace the node.
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Likelihood to Renew
I don't think our organization will stray from using VSTS/TFS as we are now looking to upgrade to the 2012 version. Since our business is software development and we want to meet the requirements of CMMI to deliver consistent and high quality software, this SDLC management tool is here to stay. In addition, our company uses a lot of Microsoft products, such as Office 365, Asp.net, etc, and since VSTS/TFS has proved itself invaluable to our own processes and is within the Microsoft family of products, we will continue to use VSTS/TFS for a long, long time.
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No answers on this topic
Usability
Azure DevOps is a powerful, complex cloud application. As such there are a number of things it does great and something where there is room for improvement. One of those areas would be in usability. In my opinion it relies too much on search. There is no easy way to view all projects or to group them in a logical way. You need to search for everything.
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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
When we've had issues, both Microsoft support and the user community have been very responsive. DevOps has an active developer community and frankly, you can find most of your questions already asked and answered there. Microsoft also does a better job than most software vendors I've worked with creating detailed and frequently updated documentation.
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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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Implementation Rating
Was not part of the process.
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No answers on this topic
Alternatives Considered
Jira is fantastic for project management and customer facing portal. It is not good for pure development (no integration with Git, pipeline management, automated testing features). If DevOps were to integrate and adopt the project features of Jira as well as the customer facing interfaces, I feel it would be a complete project management system.
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I have not used any other software as a container management solution. Its containerized apps allow the usage of less memory, thus
they start and shut down very fast. This tool is helping the enterprise
software to work quickly against the changing conditions thus offers great
scaling by simultaneously allowing me to meet the demands, which also leads to
easy implementation of the strategies.
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Return on Investment
  • Increased dev team efficiency through more streamlined development processes and task automation.
  • Improved quality of software deployments due to better source control, automated testing, and release management options available in DevOps.
  • Better collaboration between the dev team, business analysts, and agile project managers.
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  • We are able to try things very quickly compared to before. If you need to debug it, changes on X/Y/Z will have an impact on the way your app works, and changing libraries or configurations of the environment easily can improve your development cycles.
  • In case someone new arrives, the onboarding is pretty easy thanks to Docker. We have tried many configs and images until we reached a point were we have what we want. We don't have to painfully do that again for every new user. We just send him the image.
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