Docker Reviews

We set it up a lot of times to create environments for our students. 

When we teach our students, it's really important that everybody is on the same version of all their dependencies. So, Docker, we can set up the images on Docker, and it sets everybody up. 

So it's a much smoother process. Without Docker, without these containers, it would be a nightmare trying to get 20 to 30 students to set up their environments correctly. So this is just a really quick and easy way to use it.

Just the portability of Docker's containers and its ability to give everybody the exact same environment and experience is most valuable to me. 

It could be easier to create images and save them on reports.

Just improved development workflow, just quicker, like some better user experience creating the images for the Docker containers.

We have used it every day in my current company just to set up our environment for our build processes. We create a lot of labs.

We use the latest Docker version 4.22.

It is a very stable product.

It is extremely scalable. I would rate the scalability a ten out of ten.

The initial setup was very easy. I use it on-premises as well as in the cloud. So we use it in both places.

It's free, as far as I know. 

Docker is very reliable. It's easy to scale, and it's very stable.

Overall, I would rate the solution a nine out of ten. 

Docker focuses on converting applications into containers, which reduces their footprint. It allows running multiple instances of applications in containers, ensuring high availability and scalability. It is beneficial for cost savings and managing demand effectively. Many are shifting to Docker for improved budget management and performance, although not all applications are suitable for Docker. Trying it out is necessary to understand its benefits fully.

Kubernetes is the primary container orchestration tool I use with this solution. Docker provides a complete solution for deploying and managing workloads across multiple nodes. Container orchestration has significantly impacted my workload by automating tasks and streamlining operations. The availability of systems like Kubernetes is crucial for planning and managing complete clusters and computing environments. Every client's needs are different, and not one solution fits all.

As for improving Docker, I would like to see enhancements in its user interface and documentation to make it even more user-friendly and accessible. I believe Docker will expand its scope and reduce limitations to support more applications, both online and offline. For instance, in scenarios like deployments on ships or during upgrades, Docker can continue to offer software services and container-based intelligence. 

I have been using Docket for the last year.

It is scalable product.

The support from Docker has been excellent in my experience. I've never encountered any major issues or challenges with their support.

The setup is quite simple. Containerization makes it easy, requiring minimal lines of code to run Docker instances. The configuration varies based on your specific application needs, but overall, it's straightforward. Once you automate the environment, deploying workloads becomes seamless.

Using Docker provides immense value and benefits. One major advantage is the ability to provision environments quickly, reducing the time needed for setup. Additionally, Docker allows applications to run efficiently on smaller hardware, making it cost-effective in terms of infrastructure. The return on investment with Docker is substantial due to these benefits.

Overall, I would rate the solution ten out of ten.

I recommend using Docker for newer applications and complex ones as well. It's beneficial in bridging the gap between monolithic and serverless platforms, making it easier to scale and manage applications.

The solution would simplify various areas of AI-driven projects. AI is a vast field with different focuses such as generative AI. As AI continues to evolve, it holds the potential to handle more tasks efficiently, which could greatly benefit AI-driven projects.

Docker is a development platform for containerization.

The solution offers speed and flexibility.

The solution could offer better documentation.

I have been using Docker for more than a year. We are using the latest version of the solution.

I rate the solution's stability an eight or nine out of ten.

The solution is scalable.

The initial setup is straightforward.

I recommend the solution and tell them to explore it the first time and then make a decision. It's reliable, quite mature and reliable.

Overall, I rate the solution a nine out of ten.

We normally use Docker for building and testing all of our applications in a much faster way. We create the software as packages and then use Docker to create containers to build these packages. This process allows us to run and manage our applications.

The tool helps us in code versioning. I think it's pretty much easy to use and very straightforward. Even if someone is new to the tool, they can easily start using it with a little guidance or theoretical knowledge. Go through the tool and start using it without much struggle.

Docker reduces our efforts. However, from an AI perspective, we haven't explored it extensively yet. We need to start incorporating it more. Currently, our version doesn't utilize Docker heavily for AI tasks, but we plan to revise and implement our model in the future.

Sometimes, we have sync-up issues where the build doesn't get processed due to these sync issues, causing the build to fail. That's one of the drawbacks I see. When we did a huge sync-up, we faced a couple of issues. It takes some time for us to complete the sync-up. For frequent, smaller updates, we haven't had any issues. However, challenges can arise for those who prefer doing everything in one go. This might not necessarily be due to the tool itself but because of the approach of doing everything in a single batch.

I have been using the product for eight to nine months. 

I rate Docker's stability a nine out of ten. It's a good product because it simplifies everyone's work, whether related to coding, testing, or integrating with multiple parts and management.

I rate the solution's scalability a nine out of ten. My company has eight to nine users. 

The tool's deployment can be a challenge. It can be a bit challenging if someone is completely new and has never worked on it before. It has too many steps. Ideally, it can be finished quickly in about three or four steps.

An integrator helped us with the deployment. 

Docker streamlines our workflows and provides faster results. It simplifies our software dependencies, enhances productivity, and enables easy sharing and collaboration across different ALM models. 

I rate the overall product a nine out of ten. 

Our company uses the solution for the production environment, web projects, and hosting services. For example, we use it to host an NGINX box manager with  proxy, reverse proxy, and DNS server. 

We host a bunch of web services for clients and deploy both on-premises and on the cloud. Several of our development teams use the solution.

I also use the solution in my home lab. 

The solution is easy to deploy for clients so it saves a lot of hassle. 

The networking is an impressive feature. 

The volumes for persistent storage could be more user friendly right out of the box. 

I would like an option to just use it as local storage or some kind of NSF or CIF. Or to mount the volume straight to a Google Drive or through a particular cloud storage.

It's not that these things are impossible, but you have to do some extra work or configurations. 

I have been using the solution for three years. 

We use the solution mostly with Linux and it is stable.

We would like better stability with Windows containers. We need to use some kind of IAS to host them so support for these legacy projects would be a tremendous help. 

The solution is definitely scalable.

The documentation and community are good. I've never had a problem that I was unable to fix with a little bit of Google research. The official documentation is all you need to figure things out. 

I did not previously use another solution. 

The initial setup is straightforward. 

I handled implementation by myself and it was an easy process. 

There is definitely an ROI because the open-source version is free. 

The solution offers an open-source version that is free and includes a lot of functionality. 

When using the solution, don't rush or you might get overwhelmed. It takes a little bit of time to figure out how things work. Basic networking knowledge will save a lot of time. 

I rate the solution a ten out of ten. 

We're utilizing Docker extensively as all our products and services are deployed on Kubernetes, which is based on Docker. Our reliance on it is high. We have various services, including Python, C++, and Node.js, and several applications that are deployed via Docker. Our usage of Docker is almost 100 percent across all entries.

The most valuable feature of Docker is that it revolutionized virtualization by providing a new approach with containers that completely nullified the time it used to take to deploy applications on virtual servers, resulting in deployment times that can be as quick as milliseconds, unless it is a heavy application, such as Java. Additionally, resource utilization has greatly improved with Docker, allowing for more resources to be allocated to other tasks. These are a few key features that make Docker a preferred choice.

There may not be much room for improvement with Docker as it has greatly evolved. However, one area that could be improved upon is the documentation on their website which was once easy to follow but has become quite terrible with numerous versions being released. As an example, the installation process for Docker now requires more than just a one-line command, causing inconvenience. Additionally, based on my experience as a college instructor, teaching students to install Docker was a difficult task due to the lack of straightforward and easy-to-follow documentation. Docker should focus on improving their documentation to make it more user-friendly for all.

In an upcoming release of the solution, the UI should be made even more user-friendly and comprehensive, as it currently requires a multi-step process to set up a registry or host a container. A one-click solution that streamlines the entire process and makes storing, leaving, and cleaning up images significantly easier. This feature would greatly benefit those who have previously struggled with additional cleaning when hosting their own container, and it would make the end-to-end Docker experience more accessible and efficient.

I have been using Docker for approximately 10 years.

Docker has various integrations, such as Docker, Compose, Docker Swarm, and Kubernetes, I have witnessed a considerable amount of downtime resulting in applications going down. Unfortunately, it has been difficult to pinpoint the root cause of these issues. Thus, I would say that Docker is not completely stable, with an estimated stability rate of around 90 percent. As a precautionary measure, I deploy my services on multiple stations with proper scalability and high availability to mitigate any potential downtime.

We only have engineering users using Docker which is approximately 50 percent of our staff. We have a total of approximately 25 people using the solution.

The solution is scalable.

The initial setup of Docker was easy but this has changed. The setup is not necessarily difficult, but it has become quite confusing. As long as I am familiar with all of the necessary commands and don't encounter any unexpected issues, it should be a relatively straightforward process. However, the written instructions are so convoluted that it may prove challenging to install everything without encountering any obstacles.

Docker has made some changes and there is an enterprise version that is affordable.

This solution is doing its job well. The stability could improve, but the other parts of the solution are great.

I rate Docker an eight out of ten.

In our case, Docker is a prerequisite to deploy on Kubernetes. We utilize and integrate Docker along with Jenkins. When we trigger the pipeline, it triggers and runs the Docker build to create the image. It's a JAAS service. Before deployment, everything is on a non-AWS platform. Once the image is created and deployed on Kubernetes, it will be hosted on AWS. 

We started creating images on Jenkins as a service, which is on a different cloud. Once it's deployed on Kubernetes, it's placed on AWS. We have also deployed the Artifactory server using ECS.

It's deployed on the cloud. The cloud provider is AWS.

The security layer is very vulnerable, although they are working to improve the system hardening and image hardening. They need to provide a simple solution for a user to implement these two security features while creating the Docker image. It's not easy for simple users. 

I'm part of the operations team, so I understand how Docker images are created using Unix features. Docker itself creates a snapshot of the existing infrastructure. Docker's features should be simplified enough so that developers can understand and implement them. 

I have worked with Docker for eight years.

I would rate the stability as five out of five. I have seen end-to-end performance with Docker. It's a great tool, and it's the most popular container service in the market.

It's not very scalable. In order to handle scalability, Docker Swarm is the available solution with Docker. Docker Swarm is another service, but it isn't stable. For multi-containers, they have introduced Docker Compose. One deployment set will trigger multiple containers. There isn't a scaling feature, but a single host can run multiple containers.

I would rate the scalability as two out of five.

Installing Docker on individual systems is pretty simple. Docker needs to be installed for each user so they can access Docker testing, MS testing, and deployment testing.

I would rate setup as five out of five.

Deployment was done in-house. Three people were needed for deployment. We have two people for maintenance.

Deployment was basically done by the IT team. We just needed to create a ticket to trigger the deployment from the IT team. It's pretty simple.

We pay for a license. To make it more scalable, you need to pay for Docker Swarm, which is an additional cost.

If an organization utilizes a service free of cost, then the cost of Docker is like overhead for an organization. Docker was freeware, and they started asking for licensing costs about seven months ago. As soon as that news was published, many organizations started thinking about other free container services. 

My company started uninstalling Docker from everybody's system to minimize the cost, and the proof of concept for other container services is still in progress. For commercial use, it's about $30 per month. The license itself isn't expensive, but if there are many users, the price becomes high.

My company is thinking about different open source solutions.

I would rate the solution as eight out of ten. 

Docker is a prerequisite for utilizing Kubernetes. If somebody doesn't have experience with Docker, then they can't create the Docker image. Having the application image is a prerequisite for deploying on Kubernetes. 

Once we started utilizing Kubernetes, the official website recommended using Docker as a container service, but now they've removed that recommendation. You can utilize any of the available container services in the market.

I'm using Docker local Kubernetes development. I'm building software that uses Docker for cloud and on-premises applications. I'm consulting for a company that provides an enterprise database solution built using Docker containers and Kubernetes, so everyone at the company is using Docker indirectly.

Docker packages up an application as a single item that you can then run without the need to install or configure it to work on any specific machine.

The command line interface could be more intuitive. I constantly struggle with it. 

I have been using Docker for three or four years.

Docker is stable.

Docker is scalable for the most part. But we have had issues where we ran out of disk space, and it doesn't work. When I say "disk space," I mean the space that Docker has allocated. Docker isn't scalable on its own, but it is if you're using it with something like Kubernetes.

Deploying Docker is pretty easy. 

An enterprise license costs $24 per user per month. For a team or a smaller license, it costs $9 or $5 per user.

I have looked at some of the newer ones that came out. We looked at Podman, but it didn't have the API that we needed. We also looked at Rancher. When I was at HPE, Docker started charging a license, so management decided to switch to something else because they didn't want to pay for it. After about six months and lots of wasted time and effort, they realized that it was worth paying for it. 

I rate Docker 8.5 out of 10.  From a business perspective, Docker is the de facto standard, and it's going to cost you less to use it than to try to find an alternative unless there's something that Docker can't do. It's going to cost you less because there are so many more free resources available. Your team can Google and find technical information much more easily about Docker than any other solution.

The advice I'd give to someone who is new to the solution is to find an online course that can walk you through Docker because it can be really confusing to get up to speed on it. 

Our primary use is to deploy the applications in a secure environment. We prefer that our developer and the Docker files can make the images. After we have captured the images we use our CI/CD tool and deploy our applications. This makes our publisher fast and our containers are isolated from each other. We increase our security by using Docker. 

The most valuable feature is Docker has a fast learning curve. There are a lot of default options that when you use Docker you do not need to customize or configure it in a way that it slows you down.  The user interface is very nice as well. Docker has good security.

One item that could be improved is the overall stability of Docker.

I have been using Docker for one year.

For the most part, Windows is stable, but sometimes the application crashes and we have to have an error fixed in order for the stability to remain. When it comes to Linux it is not so compatible.

The reason why the company decided to use Docker is that it is easy to learn.

The setup is easy and straightforward.  The Docker site is comprehensive, and you can find all of the documentation, API, details, and comments you need to deploy.

The current cost for us is nothing as an open source.

I would recommend they use the online videos and tutorials and after a week they are going to be ready to start. I would recommend it to anyone to use. I would rate Docker an eight 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.