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 am able to containerize my application using Docker on my Docker account.

Deploying two solutions is much faster and easier for me on Docker. Docker makes deployment much simpler and more efficient.

The deployment is quite fast, which is beneficial.

I think Docker has done an excellent job on their website in illustrating the installation process and addressing any challenges that may arise. 

Their website provides clear instructions for deploying Docker on various operating systems, including Mac, Linux, and Windows environments.

There is always room for improvement.

I often refer to forums such as StackOverflow to learn from other developers' experiences and the challenges they have faced while using Docker.

I have been using Docker for the last two years.

We are using the most recent version. I released the most recent update two or three days ago.

I prefer not to disclose that specific project at the moment because it is a personal one and not related to LiveScale.

I would rate the stability a nine out of ten.

I am the only user.

I have used Apache Web Server.

The initial setup is straightforward.

It can be deployed in less than thirty minutes.

I was able to deploy it myself.

Regarding my last deployment, I used Docker as a containerization platform to package and deploy my application. As for the design, I purchased the Blue on the Bureau theme for $250 and used it on my Mac computer.

I found the deployment process to be quite straightforward.

It is installed on-premises on my local machine. However, whenever I need to make updates or changes, I push them to Git to maintain a version control account.

I prefer to pay on a monthly basis.

The pricing is reasonable. 

Pricing is based on the number of users.

Based on my experience with Docker and the speed and ease of deployment it offers for various applications, I would highly recommend it to others.

I would rate Docker, a nine out of ten.

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. 

We are using Docker in our Java pipeline which is based on DevOps.

We use Docker because we do not have to set up an environment to let people try applications.

Docker could improve by having security vulnerability reports.

I have been using Docker for approximately two years.

Docker is a stable solution, but there are some security vulnerabilities and that's why we are using security tools to point out if any vulnerabilities arise.

The scalability of Docker is good.

We have most of our application running using Docker in our organization and there are over 1,000 people using the applications.

I have not contacted the support from Docker.

I have previously used Prisma but I found Docker has more features.

The initial setup of Docker can be easy. However, it depends on the network you have Docker on.

We have Docker configured everywhere and it took approximately one hour.

There is a license needed to use Docker.

My advice to others is they should use this solution. Previously we had to set everything up for small deployments in the environment, but with Docker, we can directly run the application in a container and pull any images. We don't need to set it up. We can use an image and we can directly set it up.

I rate Docker an eight out of ten.

In our line of work, we've been involved in various sectors, such as industrial products, transportation, client engineering, telecom, and medical. For instance, we're currently developing an IT platform. One key use case we're tackling is device management.

We're looking at managing devices within our setup. These devices send data or signals, which then get transferred to the cloud. It's all about handling the lifecycle of these devices, deploying them, and managing non-provisioned ones, both on our end and on the client's side.

Docker needs to improve its pricing. 

I rate Docker's stability a nine out of ten. 

One of the primary reasons we use the tool is its scalability. It scales easily, and we haven't had any issues with it.

Docker's support is user-friendly, fast, and knowledgeable. 

The tool's deployment difficulty is medium.

It tends to make sense as an investment for larger enterprises, but the cost might seem expensive for smaller businesses.

We use Docker to build, run, and ship any application.

The solution's most valuable feature is container registry interface.

They should provide proper documentation to understand the solution's cgroup and other processes.

The solution is stable. Although, it consumes a lot of battery and RAM to create virtualization on macOS.

We have ten solution users in our organization. Its scalability for multiple VMs needs improvement.

The solution's customer service is good.

Positive

We were using VMware as well. In comparison, Docker is easy to use, consumes fewer resources, and takes less time to complete the process.

The solution's initial setup process is easy. It takes less than an hour and requires one person to execute. Also, it is easy to maintain because we can see logs.

I use the solution's open-source version.

I advise others to use JPT to create docker images. They should know the basic process for it. I rate the solution a 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.

We use Docker to build pipelines and deploy applications. We primarily use it to create application images that we deploy on Kubernetes Podass. The solution is deployed on-premises and via a private cloud.

The solution is lightweight which is valuable. Additionally, the ease of deploying on any cloud is valuable.

I rate the solution a nine out of ten. The solution is very good, and I am unsure how it can improve further. I advise new users to review their website, commands, and the steps for creating images.

We have been using Docker for approximately one year.

The solution is stable.

The solution is scalable. Currently, we have approximately 300 employees in development utilizing the solution.

We do not have experience with customer service and support.

We chose to use this product because of its stability and because of reviews from people who previously used it and had no issues.

The initial setup was easy, and you are only required to run commands.