Docker Reviews

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 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. 

Currently, we are creating a JAR file and using microservices. There are around 178 services in a single project. We use Docker to manage and do load balancing for all the services together.

We are using Docker to host applications. We are using Docker Compose and sometimes Docker Screen.

We are facing multiple issues with the solution's stability.

We have been using Docker in the same project for five years, and we have recently deployed Docker into Kubernetes for four years.

We are facing multiple issues with the solution's stability. It is very difficult to analyze how much load a tool takes. Sometimes, our Docker images get crashed due to the unavailability of space.

I rate the solution a six or seven out of ten for stability.

Approximately, 400 users are using the solution in our organization.

I rate the solution a nine out of ten for scalability.

The solution’s initial setup is simple.

We implemented the solution through an in-house team. It took me around three to five hours to deploy the solution. Docker is easy to use and implement. For the deployment process, we used Docker in the CI/CD pipeline. Then, we pushed the Docker images to the Kubernetes as per the environment. We used Kubernetes to host and balance the load.

Since Docker is an open-source solution, it is free of cost.

Docker made it easy for us to monitor the microservices. Secondly, we were able to manage the key load balancer. Thirdly, we wanted to create a secure layer of protection for our organization. So, we started using the containers above the hypervisor.

It was like using a new operating system. We created our own network adapters. We created another isolated network inside the Docker containers to keep our organization and project safe and secure. We consider this very helpful in the secure software development life cycle.

We're implementing multiple stages in security. We are signing Docker images, Docker containers, Kubernetes containers, Kubernetes nodes, and clusters in cryptography. We are signing these so that no one tampers with the code or the docker images. We are doing this from a security point of view.

The solution's containerization helps us in providing integrity and availability. If you use a microservices architecture, I recommend implementing Docker and Kubernetes. I would recommend Docker and Kubernetes to manage multiple microservices running simultaneously.

We had to configure multiple services, like the utilization of the CPU and the utilization of the RAM for the service that we were building. Additionally, we had to mention the network adapters we will be using. We followed multiple benchmarks, like NIST Benchmarks and CIS benchmarks.

There were multiple advantages to using Docker. The most important advantage was scalability and availability. As I am working in the security team, I'm looking after the integrity of the Docker images.

Overall, I rate the solution an eight out of ten.

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 helps us implement applications quickly.

Docker is convenient and easy to use. We can create and implement different types of virtual machines. It provides a lot of flexibility. The applications can be deployed quickly.

The stability could be improved.

The product is stable and reliable. I rate the stability a nine out of ten.

Five engineers in the IT team use the product in our organization.

The support team is fast, customer-friendly, knowledgeable, and quite professional.

We didn't face any issues with the installation.

We deployed the tool in-house.

The tool provides a return on investment. We are able to deploy some services and applications faster and be aligned with business requirements.

We have a monthly subscription. The product is not expensive. I rate the pricing an eight out of ten.

We do not use the solution often. It works well. We don’t have huge projects. I will recommend the tool to others. Everyone in IT uses Docker. Everyone knows it. At some level, a company must find a way to use Infrastructure as a Service by implementing different container technologies like Docker. Many IT personnel are aware of the solution. Overall, I rate the tool a nine out of ten.

We are currently migrating some of our applications to Docker containers on the tenant to improve their performance.

We have already started migrating one application to Docker and Kubernetes. We plan to complete this migration within the next two days. Additionally, we plan to migrate our core banking software to microservices, which will be containerized using Docker and Kubernetes.

Docker is useful for container virtualization and installation of applications. Docker is a containerization tool that enables the installation of applications without the need for virtualization. Its primary advantage is that it allows for more efficient utilization of resources, such as with Oracle virtualization. 

The key difference between Docker and classic consolidation is that the former does not rely on a physical machine for resource allocation. Instead, Docker creates lightweight applications that are easy to manage and scale, making the process faster and more efficient.

Moreover, Docker's scalability and manageability are the most valuable features for me.

There is room for improvement in terms of management. Because to use Docker, we should also use Docker as an orchestrator. But if Docker had the necessary tools for management, it would be very good.

I have been using Docker for one year. Moreover, I am using the latest version. 

It's stable because we just use it in a UAC environment.

It is a very scalable solution. It is one reason we plan to migrate to Docker. It is very scalable. We still have technical people working on it. Most of the admins can work on those solutions.

The initial setup of Docker is very simple and easy. If you know what you are doing, deploying the solution takes less than an hour. 

The deployment process depends on how the solution was developed. For Docker, you need to install it and then use Docker to get the necessary image for your OS. It keeps access and depends on your OS. 

Once Docker is installed, you can get the necessary image for your solution. The deployment can be done in-house. 

The licensing cost is not expensive. 

Overall, I would rate the solution an eight out of ten. I would recommend using Docker if you are looking for a scalable solution.