I use it to containerize microservices. It's a comprehensive container solution for managing microservices.
Cloud architect at Vodafone
Multi-cloud support has positively influenced and streamlines the operation of our e-commerce systems for major brands
Pros and Cons
- "It is a stable solution. It is nearly perfect. I would rate the stability a ten out of ten."
- "More integrations with other platforms would be beneficial."
What is our primary use case?
How has it helped my organization?
It streamlines the operation of our e-commerce systems for major brands, making deployment easy and cost-effective.
It significantly simplifies our deployment and management processes. We've containerized over ten microservices, improving efficiency and deployment speed.
For Kubernetes management, the key thing is managing containers. It reduces errors compared to traditional servers. Since containers are lighter weight, deploying them is faster. Think about it this way - if an image is smaller and lighter, you can install it much quicker. This is especially beneficial when you need to deploy a large number of containers, potentially in just minutes or even seconds.
What is most valuable?
The multi-cloud support has positively influenced our maintenance and operational efficiency.
What needs improvement?
More integrations with other platforms would be beneficial.
Buyer's Guide
Mirantis Container Cloud
January 2025
Learn what your peers think about Mirantis Container Cloud. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
832,138 professionals have used our research since 2012.
For how long have I used the solution?
I have been using it for more than five years.
What do I think about the stability of the solution?
It is a stable solution. It is nearly perfect. I would rate the stability a ten out of ten.
What do I think about the scalability of the solution?
It is a scalable solution. I would rate the scalability a ten out of ten.
It was extensively used in our company. There were around a thousand end users using it.
How was the initial setup?
Deployment time varies depending on the cluster configuration. Sometimes, it can take days. It depends on the configuration of the clusters. In some cases, like the configuration assessment can take longer. But that's not because of Docker itself.
It's just because we might not have information about the Docker configuration, for example. Let's say you have a cluster in another Kubernetes environment, and you want to use a port from that other cluster on your current Kubernetes cluster. That can make things more complex.
What about the implementation team?
We used a consultant's help.
What other advice do I have?
I recommend it.
Overall, I would rate the solution a seven out of ten.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Cloud Native Architect | Edge | Kubernetes | Security | DevOps | SRE | Consultant | Public Speaker at a tech company with self employed
A stable solution with valuable volume binding features, but room for improvement in scalability and integration
Pros and Cons
- "I think the volume binding is a really interesting feature."
- "With the Mirantis runtime being removed from Kubernetes, which is the industry-wide standard for orchestration of containers, I think it's going in a direction that is not super scalable."
What is our primary use case?
We use Mirantis for nearly everything, starting with development. The developers use Mirantis to basically package the application. We use Kubernetes, and both Mirantis and Kubernetes are used locally by developers. The container runtime is done by Mirantis.
We use Mirantis for our CICD pipelines as well. For very runner in GitLab, a Mirantis container is spawned and then an application is built and some tests are run, and all of that is done in Mirantis containers.
The same goes for production. An image is promoted and tagged and published to a Mirantis registry, and then later pulled in by another agent that's running in Kubernetes.
How has it helped my organization?
Did not use Mirantis Container Cloud in the organization.
What is most valuable?
I think the volume binding is a really interesting feature. For example, if you're running a Mirantis container on your host machine, you can bind a directory of files by the container and use the overlay file system.
Swarm is quite okay for smaller cases. You don't need Kubernetes and all the other orchestration tools for everything. It works for that use case pretty well.
What needs improvement?
I think the build time can be better. There's a lot of work done by Mirantis for BuildKit, for example, or Buildx, and I think there is a lot of stuff that can be done over there.
Some improvements can be made on the Docker Compose level with some dependencies. For example, if you have a service that's dependent on another service, you can't do that today with Docker Compose.
Also, if Mirantis can leverage open source Kubernetes as part of its own offering, I think it would be a huge hit because every developer uses Mirantis. People know Containers because of Docker, and I feel that if they collaborate or incorporate Kubernetes into the Mirantis runtime it would be a big thing because everybody needs local environments and everybody needs to assemble environments for testing, A/B deployments, or production, and have as much of a reproducible environment as possible. I think that would be a huge success.
I would love to see the QUIC protocol support apart from TCP and UDP in Mirantis. I think that they would be the first one to do it because it's not really there at the moment with any other container runtimes that I know of.
For how long have I used the solution?
I have been using this solution for about six years now.
What do I think about the stability of the solution?
I think it's really stable. There were problems in the past, like you have with every software, but I think it's pretty stable now. I have seen very few crashes of the Docker daemon itself, but I'm not talking about the containers because that's not Docker' s job. The stability of those depends what you have learning in your container. As far as the runtime is concerned, I think it's decently stable.
What do I think about the scalability of the solution?
The solution is definitely scalable, but only to some degree. For example, Mirantis did make an effort to get into the orchestration world by having Docker Swarm, but I don't think a lot of people use it because of the other orchestration tools available. I think that's where the scalability problem comes in.
But now with the Mirantis runtime being removed from Kubernetes, which is the industry-wide standard for orchestration of containers, I think it's going in a direction that is not super scalable. Also, with the recent licensing changing with Docker Desktop, a lot of companies are opting to stop using that and switching to another solution like Rancher Desktop, which gives you a UI. If you want to use Docker Desktop in a commercial environment, you have to pay a per user fee. It might be okay for conglomerates and enterprises, but it's not okay for midsize or small companies, because they're tight on budget.
I think there are some scalability issues from my point of view, from the business model and the tech model, and I think stepping out of Kubernetes is a huge setback.
There are currently 200+ people using this solution in my company.
How are customer service and support?
I have never had to use tech support because I use the documentation, which is pretty decent from my point of view. Also, the community is huge, so there's QAs and forums and discussions going on.
Which solution did I use previously and why did I switch?
I don't think there's strong reasoning behind why my company decided to go with Mirantis because it used to be, and still is to some degree, the standard for containers. When it comes to containers, what comes to your mind is basically Docker.
In my organization, we have a lot of developers that are developing applications on top of Kubernetes. Just to keep in sync with the newer version, they decided to switch from Mirantis to Containerd to run their containers, so I think it's changing. In my company, a lot of people are not even using Docker Desktop. Some people are using it because they're used to it and the company had a license for them, but a lot of people switched to an open source alternative to have some DUI for managing their containers.
How was the initial setup?
The initial setup is pretty easy. I think it's super easy with the universal builds offered by Docker for ARM64, Linux, Windows, etc. Even for people who are not familiar with terminal and text files, you can use the Docker Desktop UI to manage all your running containers, images, and modify your Docker daemon JSON file. I think it's really easy as a starting point.
What's my experience with pricing, setup cost, and licensing?
With open source, you can use Mirantis completely free. If you're using Docker Desktop in a commercial environment, you do have to pay a fee, but if you're using the Mirantis runtime, just the daemon and the runtime, you don't have to pay anything. It's all open source. The code is there for BuildKit on GitHub. There's a community, the MOBI project, and you don't have to pay anything.
What other advice do I have?
If you were to use Mirantis for the first time, I would really advise you just to look into the basics of understanding containers in general, anc realize that Mirantis is an abstraction or a way or runtime to run your containers. It is an industry-wide standard now, when it comes to distributing the images, but that's also shifting now to OCI images. I would advise looking into other container runtimes as well, and keep your vision broad and try to make conscious decisions rather than being biased and just following the herd.
I would rate this solution as a seven out of ten because it has really educated users. It created a lot of shift in the industry for using containers. I feel it's stable because it hasn't crashed very much in my experience. The reason I gave this a little bit of a lower number while saying good things about it, is because I don't like how the community' is responding nowadays, especially collaborating with other bigger communities. One of the examples is Kubernetes, for example. There was a backlash and they couldn't agree to stuff. It's really a big thing at the moment, and it will be for the next couple of years.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Buyer's Guide
Mirantis Container Cloud
January 2025
Learn what your peers think about Mirantis Container Cloud. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
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Cloud Expert | DevOps | Oracle Consultant at confidential
The most valuable is Docker images that allows you to build your own image and upload it to a repository
What is our primary use case?
Using Docker for most of the environments that I worked for. As an expert, I am working on different environments each time depending on the customer requirements. Development, staging, pre-production and production, each one of them having at least 25 servers implemented on different solutions sometimes like VMware, AWS, Azure and Oracle Cloud.
Docker allows me to automate everything for these environments which saves a lot of time to sync the environment with each other and keep them up to date anytime.
How has it helped my organization?
By using Docker and introducing this tool to different organizations, it provides repeatable development, build, test, and production environments, and allows every team member to work in a production parity environment, include to that, app isolation, simplicity, and faster configurations. And the most important benefits for most organizations is continuous deployment and testing.
What is most valuable?
Different features, but the most valuable is Docker images that allows you to build your own image and upload it to a repository, and use it again anytime.
Another feature which is Docker scaling using a docker-compose file: It's very simple and easy to use in preventing any human interaction.
The last one is Docker Swarm that manages a cluster of Docker Engines.
What needs improvement?
- I would love to see if more supported applications could be used under Docker.
- Improving scalability, technical debt, and making it easier to troubleshoot and monitor.
- One last thing which is the performance tuning issue.
For how long have I used the solution?
More than five years.
What do I think about the stability of the solution?
Using this solution for a production environment that should be working 24/7 is the biggest proof of stability.
What do I think about the scalability of the solution?
Very easy to use, all you need to have is the basic knowledge with Docker Compose.
How are customer service and technical support?
Since I've begun using Docker EE, I have full access to Docker's enterprise technical support team. I can manage cases, and view entitlements using the Docker support site.
Which solution did I use previously and why did I switch?
I started using Docker more than five years ago and before that, LXC (Linux Containers), also Google Kubernetes as I mentioned before. It all depends on the customer requirement and what they want from the application, and which features they will use.
How was the initial setup?
Depends on the environment and what you need to use. Most of the features have full online documentation with live examples.
What about the implementation team?
We are the vendor, so technically we are providing the solution for the client each time: different client, different requirements and different infrastructure.
What was our ROI?
You will notice a big difference for sure. Also, the below link will allow you to calculate the ROI.
What's my experience with pricing, setup cost, and licensing?
For the features and benefits of using Docker, the price is very reasonable, but the licensing is not easy. But to be honest this is a very promising technology, include to that a very fast growing technology. So within the next five years, the licensing will not be an issue.
Which other solutions did I evaluate?
Google Kubernetes.
What other advice do I have?
I recommended the tech guys that haven't used it so far, or if their company is still using the transitional infrastructure, they should give it a try.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Information Technology Specialist at TISER
Resource-efficient isolation boosts application deployment flexibility
Pros and Cons
- "The most important feature for me is the capacity to isolate applications while sharing the environment. It has saved us a lot of computing resources."
- "Some improvements are needed, particularly related to internal network management compared to Kubernetes."
What is our primary use case?
We started using Docker three years ago. All our stack applications are now running on Docker, including GLPI.
How has it helped my organization?
Docker has helped greatly by making it possible to achieve high availability for applications that don't naturally support it.
What is most valuable?
The most important feature for me is the capacity to isolate applications while sharing the environment. It has saved us a lot of computing resources.
What needs improvement?
Some improvements are needed, particularly related to internal network management compared to Kubernetes.
For how long have I used the solution?
We have been using Docker for three years.
What do I think about the stability of the solution?
I don't remember having any problems with stability while using Docker.
What do I think about the scalability of the solution?
The scalability features have helped a lot. Some applications that don't inherently have capacity for high availability have been made possible with Docker.
How are customer service and support?
I have not contacted their support team.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We used another solution but switched to Docker as it became my preferred choice due to its ease of use and deployment.
How was the initial setup?
There were some challenges in the beginning. That said, overall the initial setup was manageable.
What's my experience with pricing, setup cost, and licensing?
I am aware of pricing related to Docker Hub, as we may need to host container images, although we do not use it right now. That was the only price research I conducted.
What other advice do I have?
I recommend Docker based on the advantages I've experienced so far.
I'd rate the solution nine out of ten.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Last updated: Oct 8, 2024
Flag as inappropriateDevSecOps Engineer at a tech services company with 11-50 employees
Offers a simple setup phase and good UI
Pros and Cons
- "The product's initial setup phase is simple."
- "I feel that the product lacks to offer a proper health status of the images which are running, making it an area where improvements are required."
What is our primary use case?
I use the solution in my company since we have some in-house applications, and to spin up those applications, we use Docker Enterprise.
What is most valuable?
The most valuable features of the solution are its fairly good UI design and its ability to let users view logs.
What needs improvement?
Though I am unsure, I feel that the product lacks to offer a proper health status of the images which are running, making it an area where improvements are required.
For how long have I used the solution?
I have been using Mirantis Container Cloud for six months. I work with the tool's desktop version. I am just a user of the tool.
What do I think about the stability of the solution?
Stability-wise, I rate the solution a ten out of ten.
What do I think about the scalability of the solution?
Scalability-wise, I rate the solution a ten out of ten.
Around 20 people in my company use the product.
How are customer service and support?
The solution offers a good online community that offers users the option to ask questions related to the product and get answers to troubleshoot the issues.
How was the initial setup?
The product's initial setup phase is simple.
The solution is deployed on an on-premises model.
What's my experience with pricing, setup cost, and licensing?
I rate the product price an eight on a scale of one to ten, where one means low price and ten means high price.
What other advice do I have?
Maybe the other people in my company's environment might be using Doctor Enterprise to manage multi-cloud Kubernetes environments, but I don't use it for that.
The product optimizes and makes DevOps workflow better since it spins up images very fast, and it is a good thing that I have seen in the tool. It is easy to manage which Docker needs to be run and which one needs to be stopped, and it is an area where I use the product the most.
I don't use the tool's centralized management console. I use it individually.
I use the single dashboard option provided by the tool, and if I need to be helpful.
I recommend the product to those who plan to use it.
I rate the tool a ten out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Web Developer at Qanuk GMBH
Containerizes the software but needs improvement in documentation
Pros and Cons
- "The solution containerizes software."
- "Mirantis Container Cloud needs to improve its documentation."
What is most valuable?
The solution containerizes software.
What needs improvement?
Mirantis Container Cloud needs to improve its documentation.
For how long have I used the solution?
I have been using the solution for half a year.
What do I think about the stability of the solution?
I rate the solution's stability an eight out of ten.
What do I think about the scalability of the solution?
I rate Mirantis Container Cloud's scalability a ten on ten. I am the only one using it.
How was the initial setup?
Mirantis Container Cloud's installation is straightforward and is completed in half an hour.
What's my experience with pricing, setup cost, and licensing?
Mirantis Container Cloud is free. However, there are features for which you need to pay.
What other advice do I have?
I rate the solution an eight out of ten.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Google
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Senior Software Architect with 5,001-10,000 employees
Docker v. CFEngine v. Puppet Data Center Automation v. Chef v. Ansible
Originally posted at http://technologyconversations.com/2015/08/26/configuration-management-in-the-docker-world/
Anyone managing more than a few servers can confirm that doing such a task manually is a waste of time and risky. Configuration management (CM) exists for a long time and there is no single reason I can think of why one would not use one of the tools. The question is not whether to adopt one of them but which one to choose. Those that already embraced one or the other and invested a lot of time and money will probably argue that the best tool is the one they chose. As things usually go, the choices change over time and the reasons for one over the other might not be the same today as they were yesterday. In most cases, choices are not based on available options but by the architecture of the legacy system we are sworn to maintain. If such systems are to be ignored or someone with enough courage and deep pockets would be willing to modernize them, today’s reality would be dominated by containers and microservices. In such a situation, the choices we made yesterday are definitely different from choices we could make today.
CFEngine
CFEngine can be considered father of configuration management. It was created in 1993 and revolutionized the way we approach server setups and configurations. It started as an open source project and become commercialized in 2008 when the first enterprise version was released.
CFEngine is written in C, has only few dependencies and is lightning fast. Actually, as to my knowledge, no other tool managed to overcome CFEngine’s speed. That was, and still is its main strength. However, it had its weaknesses with requirement for coding skills being probably the main one. In many cases, an average operator was not able to utilize CFEngine. It requires a C developer to manage it. That did not prevent it from becoming widely adopted in some of the biggest enterprises. However, as youth usually wins over age, new tools were created and today rarely anyone chooses CFEngine without being “forced” to do so due to the investment the company made into it.
Puppet
Later on Puppet came into being. It also started as an open source project followed by the enterprise version. It was considered more “operations friendly” thanks to its model driven approach and small learning curve when compared to CFEngine. Finally there was a configuration management tool that operations department could leverage. Unlike C utilized by CFEngine, Ruby proved to be easier to reason with and more accepted by ops. CFEngine’s learning curve was probably the main reason Puppet got its footing into the configuration management market and slowly sent CFEngine into history. That does not mean that CFEngine is not used any more. It is and it doesn’t seem it will disappear any time soon in the same way as Cobol is still present in many banks and other finance related businesses. However, it lost its reputation for being the weapon of choice.
Chef
Then came Chef promising to solve some of the nuances of Puppet. And it did, for a while. Later, as popularity of both Puppet and Chef continued increasing, they entered the “zero sum game”. As soon as one of them came up with something new or some improvement, the other one adopted it. Both feature an ever increasing number of tools which tend to increase their learning curves and complexity. Chef is a bit more “developer friendly” while Puppet could be considered more oriented towards operations and sysadmin type of tasks. Neither has a clear enough advantage over the other and the choice is often made based on personal experience than anything else. Both Puppet and Chef are mature, widely adopted (especially in enterprise environments) and have a huge number of open source contributions. The only problem is that they are too complicated for what we are trying to accomplish. Neither of them was designed with containers in mind. Neither of them could know that the “game” would change with Docker since it didn’t exist at the time they were designed.
All of the configuration management tools we mentioned thus far are trying to solve problems that we should not have the moment we adopt containers and immutable deployments. The server mess that we had before is no more. Instead of hundreds or even thousands of packages, configuration files, users, logs, and so on, we are now trying to deal with a lot of containers and very limited amount of anything else. That does not mean that we do not need configuration management. We do! However, the scope of what the tool of choice should do is much smaller. In most cases, we need a user or two, Docker service up and running and a few more things. All the rest are containers. Deployment is becoming a subject of a different set of tools and redefining the scope of what CM should do. Docker Compose and Kubernetes are only a few of a rapidly increasing number of deployment tools we might use today. In such a setting, our configuration management choice should value simplicity and immutability over other things. Syntax should be simple and easy to read even to those who never used the tool. Immutability can be accomplished by enforcing a push model that does not require anything to be installed on the destination server.
Ansible
Ansible tries to solve the same problems as other configuration management tools but in a very different way. One important difference is that it performs all its operations over SSH. CFEngine and Puppet require clients to be installed on all servers they are supposed to manage. While Chef claims that it doesn’t, its support for agent-less running has limited features. That in itself is a huge difference when compared to Ansible that does not require servers to have anything special since SSH is (almost) always present. It leverages well defined and widely used protocol to run whatever commands need to be run in order to make sure that the destination servers comply with our specifications. The only requirement is Python that is already pre-installed on most Linux distributions. In other words, unlike competitors that are trying to force you to setup servers in a certain way, Ansible leverages existing realities and does not require anything. Due to its architecture, all you need is a single instance running on a Linux or MacOS computer. We can, for example, manage all our servers from a laptop. While that is not advisable and Ansible should probably run on a “real” server (preferably the same one where other continuous integration and deployment tools are installed), laptop example illustrates its simplicity. In my experience, push based systems like Ansible are much easier to reason with than pull based tools we discussed earlier.
Learning Ansible takes a fraction of the time when compared to all the intricacies required to master the other tools. Its syntax is based on YAML (Yet Another Markup Language) and with a single glimpse over a playbook, even a person who never used a tool would understand what’s going on. Unlike Chef, Puppet and, especially CFEngine that are written by developers for developers, Ansible is written by developers for people who have better things to do than learn yet another language and/or DSL.
Some would point out that the major downside is Ansible’s limited support for Windows. The client does not even run on Windows and the number of modules that can be used in playbooks and run on it is very limited. This downside, assuming that we are using containers is, in my opinion, an advantage. Ansible developers did not waste time trying to create an all around tool and concentrated on what works best (commands over SSH on Linux). In any case, Docker is not yet ready to run containers in Windows. It might be in the future but at this moment (or at least the moment I was writing this text), this is on the road map and with questionable results. Even if we ignore containers and their questionable future on Windows, other tools are also performing much worst on Windows than Linux. Simply put, Windows architecture is not as friendly to the CM objectives than Linux is.
I probably went to far and should not be too harsh on Windows and question your choices. If you do prefer Windows servers over some Linux distribution, all my praise of Ansible is in vain. You should choose Chef or Puppet and, unless you already use it, ignore CFEngine.
Personal choice
If someone asked me few years ago which tool should we use I would have a hard time answering. Today, if one has the option to switch to containers (be it Docker or some other type) and immutable deployments, the choice is clear (at least among tools I mentioned). Ansible (when combined with Docker and Docker deployment tools) wins any time of the day. We might even argue whether CM tools are needed at all. There are examples when people rely completely on, let’s say, CoreOS, containers, and deployment tools like Docker Swarm or Kubernetes. I do not have such a radical opinion (yet) and think that CM continues being a valuable tool in the arsenal but. Due to the scope of the tasks CM tools needs to perform, Ansible is just the tool we need. Anything more complex or harder to learn would be an overkill. I am yet to find a person who had trouble maintaining Ansible playbooks. As a result, configuration management can easily become responsibility of the whole team.I’m not trying to say that infrastructure should be taken lightly (it definitely shouldn’t). However, having contributions from the whole team working on a project is a big advantage for any type of tasks and CM should not be an exception. CFEngine, Chef and Puppet are an overkill with their complex architecture and their steep learning curve. At least when compared with Ansible.
The four tools we briefly went through are by no means the only ones we can choose from. You might easily argue that neither of those is the best and vote for something else. Fair enough. It all depends on preferences and objectives we are trying to archive. However, unlike the others, Ansible can hardly be a waste of time. It is so easy to learn that, even if you choose not to adopt it, you won’t be able to say that a lot of valuable time was wasted. Besides, everything we learn brings something new and makes us better professionals.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Cloud sales & support for rackspace with 11-50 employees
A faster and flexible solution with excellent support systems
Pros and Cons
- "The most valuable aspect is the excellent support. In addition, the billing system is really easy to understand."
- "Sometimes the basic support is a bit difficult if you have a firewall and cloud servers behind the firewall and then try to implement the backup solution, it is a bit difficult to do by yourself."
What is our primary use case?
Our primary use case for this solution is for electronic commerce.
How has it helped my organization?
It took us 30% faster to implement the solutions that we used to have with other platforms, and the flexibility has increased by 50%.
What is most valuable?
The most valuable aspect is the excellent support. In addition, the billing system is really easy to understand.
What needs improvement?
Sometimes the basic support is a bit difficult if you have a firewall and cloud servers behind the firewall and then try to implement the backup solution, it can be a bit difficult to do by yourself. If you have a Rackspace engineer, it is easier, because they know the procedures, but that service is not cheap. It can be an extra $500 for that extra service, per month. It would be nice to see that cost decrease.
For how long have I used the solution?
One to three years.
What do I think about the stability of the solution?
The product is stable. Any problems that we have noticed have been with the customer doing something wrong. For instance, they may have two versions of the application that do not match, which will cause errors. But, we can never blame Rackspace Docker for this. It is an internal problem.
What do I think about the scalability of the solution?
The scalability is a bit difficult. Rackspace has beautiful tools to make scaling pretty easy. Usually, it is our customer that is afraid to scale too fast. At times, we have to convince our clients to move towards the cloud, because the cloud function is very different from the on premise solutions. Once they understand this, they are eager to jump to the next level.
We currently have two customers that have 8,000 users connected to the solution. They are in the automotive industry. The users are a combination of sales people, service representatives and executives. There is a tremendous ability for Docker to support a lot of users.
How is customer service and technical support?
The customer service is good.
How was the initial setup?
The setup was very easy, but if you get into something with the backup agent or the API, that is when you may begin to stumble. Sometimes this causes a slower time for implementation and ultimate deployment.
Our standard procedure is to look at the requirements, set of a pilot, do some testing, and then release the solution. It can take several weeks, and it depends on understanding our customers' needs. We have our own staff who complete the process.
What's my experience with pricing, setup cost, and licensing?
At times, my customers are upset with the cost of the product. Other solutions seems inexpensive, in comparison. But, I tell my customers that once you start putting the solution together, will you realize that it will cost more than Rackspace Docker.
Which other solutions did I evaluate?
We looked at VMware and Hyper-V, as well as Amazon. But, we stayed with Rackspace Docker becuas ewe already know that this is doing the best in terms of what it is offering.
What other advice do I have?
My advice is in regards to the security. Many of my customers do not care enough about security, they have a disbelief that once you are in a cloud, you are automatically secure. This sis not the case at all. You need to understand that nothing is guaranteed if you do not follow the right rules. You need proper monitoring tools to keep the work-site safe and secure. It may cost the customer more, but it is worth every penny.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: January 2025
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