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Docker has proven to be a versatile tool with a wide range of use cases. Users have found that Docker simplifies the packaging and …
Starting at $500 per year per node
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What is Mirantis Kubernetes Engine?
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…
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Free
$0.00
Cloud
per year
Basic
$500.00
Cloud
per year
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://store.mirantis.com
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $500 per year per node
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- Tech Details
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What is Mirantis Kubernetes Engine?
Mirantis Kubernetes Engine Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
Frequently Asked Questions
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.
Mirantis Kubernetes Engine starts at $500.
Reviewers rate Support Rating highest, with a score of 7.8.
The most common users of Mirantis Kubernetes Engine are from Small Businesses (1-50 employees).
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Recommendations
Docker has proven to be a versatile tool with a wide range of use cases. Users have found that Docker simplifies the packaging and deployment of applications and services, allowing developers to match their development environment to production and eliminate cross-cutting software dependencies. It has been utilized as the backbone of a hosted app infrastructure, where every element is broken down into microservices deployed on the AWS cloud. Additionally, Docker has been instrumental in creating specialized microservices such as a Selenium Grid for automated web-based testing.
Moreover, Docker has played a crucial role in maintaining environmental consistency and streamlining deployment processes. It has enabled users to swiftly containerize Continuous Deployment and Integration pipelines, facilitating easy deployment and updates of the system and its environments. With Docker, users have been able to quickly deploy and monitor servers, firewalls, switches, and other components, providing a consistent and efficient environment for prototyping and testing. Another notable use case is spinning up new databases for microservices using Docker, ensuring consistency and independence across different environments.
Furthermore, Docker has integrated seamlessly with orchestration frameworks like Apache Mesos and Mesosphere Marathon. This combination has allowed for more efficient application development and deployment through effective management of containers. Docker has also demonstrated its utility in building server deployment files and running tests, enabling consistent deployments and reliable testing procedures.
In addition to these technical applications, Docker has proved to be valuable in hosting MySQL databases for production websites. Its stability, security features, and easy provisioning of identical instances have made it a preferred choice for users. Moreover, Docker has been extensively used in CI builds as it enables the creation of custom Linux images and seamless deployment of the latest code from the Docker registry.
The flexibility offered by Docker comes to the forefront when it comes to testing practices. It provides a highly configurable environment that makes cross-platform testing significantly more efficient. Users have leveraged Docker for both automated website/application testing pipelines as well as creating flexible environments for manual testing. Moreover, Docker has acted as a viable alternative to custom build and deploy solutions, offering a more flexible and decentralized process.
Notably, Docker has been embraced by a large global financial services provider to enhance efficiency and agility in application development. This adoption has resulted in increased innovation and productivity within the organization. Another significant benefit of using Docker is its ability to provide identical application environments across multiple deployment environments, leading to the deployment of more stable applications.
Furthermore, Docker has played a role in differentiating between server/compute infrastructure and application infrastructure. Operations teams can efficiently manage the cluster of servers, while application developers can run containers on the cluster, ensuring a clear separation and easier management of the two layers.
Teams have leveraged Docker for various development and deployment practices. Engineers can build applications in the same environment, eliminating local configuration issues that often arise when working across different setups. Docker has been particularly useful for WordPress development, replacing tools like Vagrant and providing tighter integration with Windows Hyper-V and better performance.
One of the significant advantages of Docker is its ability to containerize applications, resulting in consistent deployment environments across different stages and compatibility with various cloud platforms. This has greatly simplified the deployment process for users and enhanced their productivity. Additionally, Docker has been highly beneficial for the development team in resolving issues related to different setups on Windows, Linux, and Mac operating systems, while also providing easy configurations for automation QA.
Docker's impact extends beyond software development into the realm of research reproducibility. Users have developed Docker containers to encapsulate research pipelines, leveraging GitHub and DockerHub as public repositories. This approach has effectively addressed the challenge of ensuring reproducibility in research experiments.
Moreover, Docker Swarm has been employed to deploy internal applications in a managed cluster, successfully tackling scaling and load balancing issues during peak business hours. The combination of Docker with Kubernetes has also gained popularity among teams for containerizing projects and facilitating the development of microservices.
Overall, Docker's value proposition lies in its ability to provide consistent development environments, prevent deployment issues, streamline configurations, enhance testing efficiency, and simplify the overall software packaging and deployment processes. Its widespread usage across various industries highlights its robustness, ease of setup, community support through open-sourced images, and its ability to create and test configurations as needed. Docker has become an indispensable tool for many organizations seeking to optimize their software development lifecycle while improving productivity and innovation.
Based on the reviews, here are the three most common recommendations:
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Users recommend trying Docker for deploying web services and running micro-services. They suggest doing tutorials to learn how to create Dockerfiles and docker-compose files correctly. Additionally, they advise considering whether Docker is necessary or if statically linked binaries can be used instead.
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Users also recommend using Docker for QA environments and setting up developers with the environment they need. They find Docker to be an easy-to-use development tool with great rewards for a small amount of effort. However, some users caution that while Docker is a good solution, there may be better alternatives available.
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Another common recommendation is to carefully consider the use of Docker in a workflow and discuss its usability within the organization before implementing it. Users emphasize the importance of learning the basics of Docker and understanding if continuous integration/deployment is the right approach. They also mention that Docker has a supportive community and is widely used in the industry.
Overall, users suggest experimenting with Docker, especially for new applications or running micro-services. They recommend taking advantage of Docker's simplicity and portability while being mindful of specific requirements and considering other options if needed.
Attribute Ratings
Reviews
(1-8 of 8)Companies can't remove reviews or game the system. Here's why
Through
[Mirantis Cloud Native Suite (Docker Enterprise)] I have got rid of the improperly-signed and even unsigned container
workloads. This tool is easy to configure and easily I can tag the workloads
for execution on appropriate node types. Further through this application, it is
very convenient for me to use specialized hardware in bare metal which includes
FPGAs and GPUs, that offer great machine learning and helps in scientific
computing.
- It is advanced tool for balancing loads and managing routes.
- It is easy to edit container contents.
- Alerts are very useful which helps us handling the entire network.
- I am mostly satisfied with all of its features but I have faced issues in the continuous data storage no doubt they offer features like Dockers Data Volumes but still there is much room for improvement.
- Moreover, I am a happy user of this platform.
March 15, 2021
Save space and time!
Docker is heavily used to containerized the projects and upload it to kubernetes. It is helpful when developing microservices. Due to Dockers isolation and portability feature, it is easy to deploy run and get a microservice up in no time. Docker is being used across the whole organization. Docker address following business problems: building independent microservices, isolation and easy potability.
- Manage software application easily
- Distribute apps within the team or organization
- Saves space
- Security is still a concern
- Docker is difficult to use when using different operating system
- Docker is an evolving technology which involves a learning curve
August 14, 2019
Productivity Booster
Docker is used by most of our teams as part of their development and deployment practice. For development, it enables engineers to build applications in the same environment without worrying about local configuration issues. Nearly all of our CI/CD and infrastructure runs in Docker containers as well, which makes debugging production issues (especially around deployment) as simple as pulling down the right image and poking at it locally.
- Isolation of dependencies.
- "Black box" services like databases and packaged applications.
- Infrastructure as code.
- The CLI can take some getting used to if you aren't familiar with it.
- For running many Docker containers locally, you'll need a lot of disk and RAM.
- There are a lot of concepts to be familiar with when learning Docker, and the documentation could be more beginner-focused.
March 03, 2018
Docker: Streamlined DevOps with a little overhead
Docker is used across our whole engineering organization. It is used to simplify packaging and deployment of the apps and services we develop. Using docker allows us to match our development environment more closely to production and run polyglot applications without worrying about cross-cutting software dependencies and server configuration.
- Simple interface for defining and building an application runtime environment. This makes applications easy to inspect because aspects like exposed ports and environment variables can be defined declaratively and consistently.
- Local environment parity with production. Docker manages dependency installation and allows you to easily run apps locally in the same environment as they run in production, giving you confidence that your app will work as expected when deployed and making configuration-related bugs easier to reproduce.
- Makes applications easy to publish and distribute. Docker's image registry makes it extremely easy to publish your applications and distribute them securely. This makes deployment much simpler and provides version control for your application artifacts, making rollbacks very easy.
- 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.
January 30, 2018
Quick Docker Review
Docker is used across our whole engineering organization in order to have a consistent dev environment for local testing. We also use Docker for our microservices on Rancher. Docker is extremely useful as we can easily spin up any sort of environment we want and create/test new features. The use of Docker also helps prevent those "it work on my computer" type of issues.
- Flexibility
- Ease of Use
- Very powerful
- Can be seen as a black box
- Hard to debug if unfamiliar with it
- Semi-steep learning curve
August 16, 2017
Docker FTW!
We use Docker to containerize our applications, we get many benefits from this such as:
- consistent, realizable deployment environments across dev, QA, prod - the same image used in dev is the exact same image deployed to production
- better utilization of server resources
- cross cloud compatibility
- the ease of scaling applications
- Docker makes deployments easier across environments.
- Docker allows to better utilization of server resources by easily allowing multiple applications (images) to run on the same server.
- Docker makes it easy to scale our applications out.
- Docker is somewhat new and new functionality comes with each release, sometimes it can be hard to stay on top of all the new features.
- It would be nice if a full GUI based container management system came with Docker.
April 03, 2017
Docker is for microservices and app delivery
We are using Docker today to spread multiple Tomcat instances across a single machine. Docker is currently being used by our devops team but we're a small company so that's pretty much the entire infrastructure team as well. Docker helps us keep our configs simple, easy to use, and reproducible in a really efficient manner.
- Docker makes it very easy to reproduce a service build and configuration. This is huge for rolling out quickly and efficiently.
- Docker can orchestrate your containers to auto scale up and down with Docker Compose. This is very useful on cloud providers where you pay for instance to keep prices down.
- Docker's intra-container networking works well for the most part but it does leave something to be desired when attempting to weave a complex deployment of microservices across multiple bare metal machines and networks. It would be nice to introduce some sort of modeling tool into container networking.
- A really neat feature for Docker could be to have an option to analyze container utilization and alert or notify on suggestions to improve efficiency.
February 15, 2017
Simple Up and Running Script Based Containerization
We use Docker to provide us fast containerization of our Continuous Deployment and Integration pipelines. Once our code is good for shipping, we trigger a test pipeline which will in turn compile all its dockerfiles, upload them to hub.docker.com if needed and then upload/install an updated version of the system and its environments at DigitalOcean via Docker drivers and swarm. Our developers as well as our production servers use it as well, being our stack composed of a total of 4 different nodes, a MongoDB container; an elasticsearch container; a nodejs container and our discovery service container, comprising Consul key-value database to store all data from our slave nodes. It's solely maintained by our development team, but the system built within is widely used by our staff as well as the company's clients, spread throughout the world.
- Its topology isolation is in my opinion an unbeatable feature. In our systems we have the need of parallel Java 7 and 8 versions to be running together. Without Docker that would not have been made possible.
- Docker Swarm, taking care of our load-balance characteristics so needed for our systems is a must have.
- Docker composer is a very powerful feature, therein I can have my containers scripted and each of its continuous integration and deployment separated with each of its own concerns isolated whilst all being nicely bootstrapped together under the same "docker-compose up" command.
- Some commands are not very intuitive. In order to have an entire swarm properly functioning [specifically for the scenario we have at our company] wasn't a simple task, having to maintain a very wide range of environment variables safely and nicely kept and good for use. The pipeline to have such a topology ready wasn't simple to figure out how to come up with.
- Some volumes, if not properly shut down when its necessary, will take up to all your disk space. The extra -v attribute wasn't too obvious to use when removing an specific volume leading us to a huge headache.
- Some containers, though exposed as official ones at docker.hub.com, are very space and memory consuming. We have do figure out our own containers for pretty much everything, even though the services that were necessary in the containers were pretty vanilla.