Docker Reviews

Docker allows you to run multiple virtual machines independently. 

The solution is not easy to manage and it is one of the reasons why people introduce orchestration tools to manage it. 

I have been using the solution for six to seven years. 

The tool's stability is high and I would rate it a ten out of ten. 

We use the solution 24/7. 

The tool is an open-source product and there is no technical support for it. 

We use Hyper-V and VMware as per our client's requirements. 

The tool's setup is difficult and I would rate it a two out of ten. The tool's POC can be completed in a couple of hours. However, if the project is big, then deployment can take around one to two months to complete. 

The solution is an open-source technology and not a commercial product. However, you will have to pay sometimes. The tool's pricing depends on the vendor. 

I would rate the product a nine out of ten. The solution is a virtualization technology that is more like a mini-computer. 

I use the tool for SQL, MySQL, and web development.

I think that with Docker, it is easy to deploy it on different platforms.

Stability is an area with a shortcoming. Hence, stability needs to be improved.

I have been using Docker for a year. Also, I don't remember the version of the solution I am using since it comes from the repository of Linux.

I rate the stability of the solution a nine out of ten.

Normally, I use it on small sites, so I don't know if it can experience scalability.

More than 200 of my students use the tool. Also, the tool is used extensively by me.

Normally, Docker is free for everything, so I don't know if there needs to be a plan to increase the number of users.

Before Docker, I used only a Linux setup.

I have used Docker on Linux for the filesystem.

The deployment of the product was done in a minute or two, considering my internet is very stable.

I use the Docker control plane for the deployment.

I was involved in the deployment process of the solution.

Docker is a free tool.

I would definitely recommend the solution to those planning to use it.

I don't know what to say to those planning to use Docker, but you can find its details on the internet.

I rate the overall solution a nine out of ten.

I think the best feature is to replicate anything in our local machine using a simple command. 

The product does not have an extensive documentation. The tool does not have good scenarios. We have to go through the GitHub repository and investigate similar scenarios. Also, if you are copying multiple things, then you can jeopardize the copy number. The copying aspect also lacks a UI part. We also need to limit the memory. 

I have been using the tool for four years. 

The solution is stable. 

The tool is very easy to scale up. My company has 100 percent usage for the product. 

I have never contacted the support. I always look at GitHub instead of raising a ticket. 

The product's setup is easy and straightforward. However, you will encounter difficulty in customization. The speed of the product's setup depends on the bandwidth and download speed. 

The product is a free open-source tool. 

I would rate the product a nine out of ten. 

We use the solution for containerization. We've replaced it with other solutions. We are using it to compartmentalize some legacy products. We are also onboarding other third-party applications using it. We have a few use cases. 

It's helped to save many resources.

The features, such as scaling and high availability, have been excellent. 

It is easy to set up. 

The solution is stable.

It can scale well. 

The pricing could be a bit better. We'd like the least amount of spend as possible.

We'd like knowledge transfer to be easier.

The support could be better. 

The solution can be a bit expensive. 

I've been using the solution for about six years so far. 

The solution has been pretty stable. 

The solution can scale well. 

I'm not sure how many users are currently using the solution. We are migrating all development teams over to containers. 

We have support from our vendor and also use support for the Kubernetes cluster. It could use some improvement. It could be a bit better. They should be more responsive. 

I've been working with Kubernetes alongside other solutions. 

The implementation, for me, was pretty simple. I'm not sure if others would have issues. 

I would deeply it on top of the Kubernetes cluster. It usually takes one day to deploy. We're using Docker as a service for testing purposes and have implemented it on Kubernetes clusters in order to test and deploy applications in order to handle production-grade applications. 

Have not looked into ROI to see if we have witnessed any. 

I'm not sure what the exact pricing is. I don't deal with licensing. However, my understanding is it is expensive. 

I started using the trial version and moved on to the latest version. 

I'd recommend the solution to others. I'd rate it nine out of ten. 

We used to have a silo problem. Docker solved it because we're able to containerize the microservices that we're developing in the form of Docker mail.

Once we run the Docker image, it becomes a container. This container is guaranteed to run in every machine because we're installing Docker as the platform. On top of Docker platform, we're curating the Docker images and running the container. That container has a limited number of libraries and a limited number of data, which is required to run the application.

Each container has a limited library system, which is required to run the application. This encapsulation makes it work perfectly, irrespective of the system. It works perfectly once we have encapsulated the application and containerized it. This is guaranteed to run in each machine.

We're deploying the solution on Azure cloud. We're curating the CI/CD pipeline. In the CI/CD pipeline, we're curating the Docker images and pushing it to the container registry. We're writing the steps for how to build the Docker image into the YAML code. Once the Docker image is built, it's pushed to the container registry. We're writing this YAML code in the pipeline.

Every person on the DevOps team is using this Docker tool.

We have plans to increase usage because it's a great tool, and it's the latest technology. We're no longer developing monolith architecture, so everyone is developing applications with microservices. Docker is the best tool to containerize the application and encapsulate it.

We used to work on monolithic architecture to develop the application until it goes to the production environment. It takes a huge amount of time. Now, we are using a microservices architecture. Rather than creating the application as a whole, we are dividing the application into small services. Each microservice is loosely coupled. With each microservice, we can develop and containerize it in the form of a Docker container.

If an application has a hundred microservices, like on an e-commerce portal website, then the login is usually one application, the catalog is one application, and the E-card is one application. Each application can be considered as one service. For each microservice, we can develop a code and containerize it.

Containerization is the most valuable feature. I can communicate to the Docker containers using other containers. The copying feature is helpful because if a container dies, we won't lose the data. That data is retained because of this data volume feature. We mount it to our shared system or any shared folder.

I would like to see a more UI-based tool so that students can easily understand it rather than memorizing all of the Docker commands. Some people try using Docker desktop and containers to make it graphical.

Docker Swarm could have more advanced features, like Kubernetes, which has an auto scaling feature and cell-filling capabilities.

I have used Docker for four years.

I would rate the stability as seven out of ten.

I would rate the scalability as seven out of ten.

I would rate technical support as seven out of ten.

Setup is simple. We can install Docker with just one command. It doesn't take more than three to four minutes to run the pipeline. A Docker image is built in that time frame.

We're running the pipeline in a self-hosted agent or Microsoft-hosted agent.

Docker Compose can be installed easily. It allows you to use multiple containers at a time. Docker Swarm can also be installed easily.

Docker is open source. To use a Docker enterprise model, we would need to pay for it.

I would rate this solution as seven out of ten.

My advice is to create an account on Docker Hub. In Docker Hub, there are three Docker images available for practice. We use GitHub to see how we're making the Docker images and then push it to the public Docker Hub. I have an account in Docker Hub and have images there that I can reuse later. I would also advise completing a Udemy course for Docker or watching YouTube videos about it. This will make Docker easier to understand.

Docker can be deployed on-premise or on the cloud.

We are using Docker for containerizing our applications.

The most valuable feature of Docker is that it provides a containerized environment. The isolation between the environments is beneficial. Additionally, the solution is easy to use.

Docker can improve the integration with Microsoft Windows. It does not support native installations. 

There can be a lot of issues with Microsoft Windows and Docker and those issues should be resolved in a future release. For example, if you are running Docker and you are running a lot of things in Microsoft Windows, these issues should be resolved.

I have been using Docker for approximately 

Docker is highly stable.

The scalability of Docker is very good.

Every machine learning group in my company uses Docker. We have approximately 2000 to 3000 people using it.

I have not needed to use the support from Docker because I have not had any issues.

The initial setup of Docker was extremely easy. The only part that takes some time is the containerization, the rest of the process is quick.

I rate the initial setup of Docker a ten out of ten.

Docker is a free-to-use solution. However, Docker Enterprise is not free.

We chose Docker over other solutions because it has a relatively large use user base. It is a popular solution.

If you are trying to use Docker for the first time, make sure that the Docker file you have or the containerization which is done, is done properly. If the containerization is not done properly there can be some folders that are not mounted correctly and it causes several issues.

Docker Enterprise takes less time to set up if I was to compare it to this Docker free open-sourced version.

I rate Docker a nine out of ten.

Our primary use case is to build and bundle applications.

The most valuable feature is that it gives you the same environment as on a developer machine as well as a production machine relevant to specifications. The binaries and dependencies are all bundled together and they are in a similar fashion in both places.

I would like to see better management layers. One example of this would be binary shipping. I would also like to see Docker utilize a concept like Red Hat Family.

I have been using Docker for three to four years.

The stability is excellent. Sometimes, memory management can be tricky.

Docker is scalable on both community and commercial levels. I am using the community version. There are around one hundred to one hundred and twenty of us using Docker on a daily basis.

For customer support, we are using the documentation on the forums and they are suitable.

The initial setup was very simple and straightforward.

You can use either an in-house or vendor team. We simply downloaded Docker into our organizational environment.

There are a sufficient number of YouTube videos and best practices to build Docker. I would encourage a potential user to investigate those videos. On a scale of one to ten, I would rate Docker a nine.

We use this solution for our web applications and websites for automatic deployment. We also have a cloud based solution that we sell as a product and we offer cloud hosting, which is Docker based. Our clients have access to a graphic user interface where they can deploy their websites with one click and we use Docker in the back end to make that possible. 

Docker is an entirely containerized cloud solution that supports different types of applications running on the cloud including websites, web applications, APIs and some Lambda functions. We have a whole bunch of stuff running on the cloud. We have thousands of users supported by this solution. 

There are ways of using Docker where you have absolutely no dependencies on the environment that you work in. This allows us to deploy Docker anywhere anytime and this has been most valuable.

Docker removes any dependancies when it comes to deployment. We can ship it between different devices and different locations without our clients being impacted or aware. In once instance, we redeployed a client's container without losing any of their data. 

There are elements of stability that are problematic. One of the most recent upgrades created a major incident on our cloud, whereby the containers were not restarting automatically. Docker is a fairly new application and has matured and improved since 2016 but still needs improvement on stability. 

Prior to using Docker, we used a CH root and jailing process. Essentially, Docker is a CH root on steroids combined with an image management system that is based out of git code. When you're dealing with such low level technology, there should not be issues with stability. 

We have been using this solution since 2016. 

This is a scalable solution

The setup on the most recent versions of Windows is pretty straightforward. The setup on Mac is also pretty straightforward, but there are networking problems.  Docker, it doesn't play well with the Mac virtual hypervisor. There are some issues on that side. On Linux, well, it's less straightforward, you have to know how to work it out. There are no performance or networking issues.

We have done in house deployments and we have also used other tools like Kubernetes or Docker Compose. We have our own PHP library that can deploy Docker containers, which is called Linux for Composer. It is oriented towards helping PHP developers to use Docker to make things more simple. 

We have definitely experienced ROI because it cuts down on development time. There are no surprises when it comes to deployment. It cuts down on development, deployment and it cuts down on staff. There are multiple advantages including on the financial side.

We've had a look at other possible solutions such as KVM and Pod Man. Pod Man is not very mature right now. There are a lot of things that we're used to being able to do with Docker that we can't do right now with Pod Man.

We're not excluding the possibility of using Pod Man. There is also an equivalent to Docker which is the Windows subsystem for Linux, WSL two. We've used that for a few projects in Windows environments, and we are considering putting our Linux distribution on WSL two.

I would advise others not to use Docker as a virtual machine or to think of it as being similar to VMware or Virtual Box. It has an entirely different use case. They have to think about it as a system that is used on an ad hoc basis. 

If you build thinking that it is temporary in nature, you will have the full benefits of Docker. 

I would rate this solution a nine out of ten.