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. 

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.

We use the tool for some of our services. We use it for containerization.

Load balancing features are valuable. We are leveraging this software for containerized services. We are using EKS for orchestration. We are leveraging almost all features. The solution helps save costs. We can know how much CPU memory is required so we can manage it accordingly.

Docker management is very difficult when we have a large number of nodes.

I have been using the solution for the last two years.

I rate the tool’s stability a six or seven out of ten.

I rate the tool’s scalability a six out of ten. We have more than 500 users. The tool is used extensively. We have plans to increase usage in the future.

We get good support from AWS.

The setup is straightforward. We need ten people for deployment, including managers, developers, and the IT team.

We can deploy the product ourselves.

We use the open-source version.

We use EKS for large applications. I will recommend the solution to others. If people want to leverage load balancing and containerized services with less CPU and load management, they can use Docker. We must pay for EKS based on the clusters and nodes we use. The price depends on the use case. Overall, I rate the solution an eight 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. 

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.