Docker Reviews

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. 

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.

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. 

We are a service provider and we have various use cases. However, the most prominent one is that instead of virtualizing the application workloads, we use Docker. Docker allows you to create small applications and containerize them. You can create multiple such application containers that can run simultaneously on the Linux operating system.

We use Docker because if we want to create an application using Node.js, an environment for backend and frontend technologies, we can deploy this single application in a container. This container will run independently of its underlying OS. 

If you want to migrate this application to a different server, migrate the container image to the new server and start using the application there. This makes developers' jobs much easier because they don't have to copy everything the application needs. They just copy the container image, send it to a different server, and start using it there. All the required libraries, packages, and dependencies are encapsulated within that container. The container contains everything it needs to run. In a DevOps environment where multiple teams are creating applications, developing new versions, and deploying applications frequently, Docker is very helpful.

The greatest benefit of the solution is that you can create applications and multiple versions of the same application, distributing them across various Linux platforms. Setting up Docker is very quick; whereas setting up a Linux operating system can take five to ten minutes, you can set up a Docker-based Linux OS container within minutes. Docker also has a small footprint on memory and resources because it uses the system's resources efficiently. It operates within its environment, independent of the underlying operating system, running in its namespace. This isolation prevents negative impacts on the system.

For developers who frequently create and deploy applications, Docker makes it easy to quickly develop, deploy, and run the latest versions. You don't need to manage the operating system, applications, dependencies, or data separately; everything is encapsulated within the Docker container itself.

Moreover, AI is another application you can use through Docker. AI can help you set up more efficient Docker-based workloads. The role of AI is to guide you and provide the necessary knowledge for various tasks, whether it’s related to Docker or anything else. Additionally, AI itself can run as a container using Docker.

There's always room for improvement. Sometimes there's a bug or defect in the solution. However, the Docker team works on fixing it.

The solution’s stability is great. I rate it a nine out of ten.

Regarding scalability, Docker doesn't require any separate configuration for multiple users. Suppose you create a container and expose it to the public via an IP address and port. The ability to serve the number of users depends on the system's resources, like RAM, CPU, and storage. You can create or scale the number of containers based on these resources, and manage the number of users accordingly.

For example, if I have a small server, I can create containers and share them with the outside world according to the available resources. The server's ability to handle the number of users depends on its resources. Docker doesn't restrict you to a certain number of users; hundreds or even thousands of users can access the containers. Most of our customers are using the product.

The initial setup hardly takes minutes. All the container images are available on Docker Hub when you create a container. Docker Hub is a repository, like an App Store for containers. If you use Windows or Mac, you have an App Store where you can download and start using any application you want. Similarly, Docker Hub is the application store for containers. It's a cloud-based solution. In Docker Hub, you can find all kinds of container images. If you want to install an Apache server, a Postgres database server, or any other server—even Linux and Windows servers—they are all available in containers. Anyone who wants to use these can immediately download and start using the container image.

Our customers buy the software and the prices are available on Docker Hub. The subscription is typically yearly, and customers will need to buy the subscription directly. They can purchase it themselves.

The product is similar to GitHub.

If you are trying to create an application quickly for testing or development purposes, Docker is the best tool available. Docker can also be used on Mac and Windows with a tool called Docker Desktop. You can start using Docker there by installing Docker Desktop on a Windows or Mac system.

Whenever a new Docker image is created by the OEMs, like MySQL for instance, they name the new image with the version number. If you want to check the latest version, you can go to Docker Hub and search for it. There are multiple versions available, and Docker also allows you to create your own version. So let's say your company has specific requirements for MySQL. You can download the original MySQL image from Docker Hub, install a couple of additional applications within the Docker container, and share this customized Docker image via your own repository on Docker Hub.

There are two kinds of updates: one within the Docker technology itself, where the creators of Docker keep updating the Docker engine, and another for the Docker images. The Docker engine is the software tool that runs on your system, and the global team working on it keeps it updated. You can always check for the latest version of the Docker engine and upgrade as needed.

Moreover, container orchestration is a different technology. You need Kubernetes to orchestrate the containers in the solution. A single container is independent, but Kubernetes is an orchestration tool that manages these containers using its control and data planes. For example, if you have hundreds of containers, it takes work to manage each one independently. You need some orchestrator to control these containers' life cycles, maintain high availability, and more. Kubernetes handles this container orchestration.

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

The solution is used to run systems in small applications.

You should start by running your applications to ensure optimal performance in a Docker environment. The administrator should validate the setup with Kubernetes before deployment. This process includes validating our software applications and comparing features with other open-source alternatives. It’s important to understand that application performance can vary due to various factors. For instance, issues may arise due to ZDR policies. Before deploying in production, consider using OpenShift if additional features are needed. Our organization currently uses Oracle, but Docker provides a flexible and efficient way to manage our applications.

We use Docker to facilitate deployment, updates, and management.

Enhancing artificial intelligence capabilities and cluster management should be a priority. It should facilitate some security management.

I have been using Docker for four years.

I have been going through the session block for enhancement. I rate the solution’s scalability a six out of ten.

The initial setup is straightforward.

It requires a premium subscription.

The CI/CD was created, and the template is there. It's sufficient to prevent blockers. The restore is deployed, and we are conducting large-scale scans to identify duplicates. For continuous intelligence, we are using Azure DevOps tools from GitLab. We use Docker for various tasks like scanning, automation, testing, and searching.

We support software implementation and maintenance. Nowadays, we update our software regularly. Our recommendation for regular users is to avoid using outdated software, especially when it involves personal data sources such as software applications, desktops, and internet usage.

Azure uses Docker and integrates with Azure products. Docker overlaps the network, which facilitates communication between containers. This network operates on VPNs but can utilize third-party gateways to reach and solve problems.

Docker has more advanced authentication, backup, and accountability.

Overall, I rate the solution a six 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. 

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.