Docker - Accelerate how you build, share, and run applications [Use]

I use Docker primarily for backend services to containerize applications or for API communications.

The most valuable feature is the simple containerization. I can specify what I need to install in a shell to ensure the application runs. It's a straightforward and easy-to-use feature. I also use it with CI/CD tools, finding it a good solution for integration.

In terms of communication between services, perhaps the configuration within networks between containers could be improved.

I have been working with Docker for about six years.

The stability is excellent. I would rate it ten out of ten.

By using Kubernetes, scalability is simple and can be done without issues.

Some developers might use virtualization solutions like VMware, however, Docker is much better because it is simple.

Overall, the setup is simple.

I consider Docker's pricing to be affordable.

Some developers might consider virtualization solutions like VMware.

I would recommend Docker for a wide range of users, from 50 to five million users, as it is simple to configure.

I rate the overall solution ten out of ten.

I used Docker  to Dockerize Java code. We had a code base, and I needed to create a Docker  image from it so that it could be deployed. At the time, we used Docker Compose, which is somewhat similar to Kubernetes .

Docker allows virtualization at a higher level without the need for a host machine. You can have a few libraries in the image, and it will run on any machine, making deployment easier. This approach reduces the number of headaches compared to traditional methods.

Docker provides another level of virtualization where you don't need the host machine. The ability to use an image with the software built into it, rather than just the software, is beneficial. It allows the software to run on various machines without compatibility issues, saving a lot of time.

Docker is a time-tested, proven solution with industry-wide applications. There can be challenges with port mapping, however, that's not related to Docker itself.

I started using Docker when I began my career in cloud computing. It has been approximately five or six years since I last created a Docker image.

Docker is fairly old, and there are existing GitHub  repositories for any issues that arise. We can often resolve these issues ourselves through online resources.

Docker is highly scalable. Without the need for physical hardware, you can run multiple images on your server. Previously, only one or two applications could run on a server, but now it can handle hundreds of applications, scaling up or down as needed.

I have never had to contact Docker's support team.

The initial setup is not difficult, especially with Docker Desktop. It allows you to manage images easily without having to run commands if you prefer not to.

Docker is well-established in the market. Most people in DevOps or IT are familiar with Docker or creating Docker images. It is easy to use.

I'd rate the solution ten out of ten.

I work with startups and companies looking to build products from scratch to production. I handle deployments from various teams and use AWS. My experience includes deploying applications, setting up APIs, adding load balancers, and managing traffic. Docker is essential for this work, allowing me to create sandbox environments to run applications. Essentially, Docker helps manage clusters of applications and maintain the cloud environment.

The tool's most valuable feature is its sandbox environment. It makes it very easy to run and test applications without needing configurations, which is the core advantage of containerization. Kubernetes and Helm are helpful as they provide high-level metrics, making tracking the status of all the containers and applications running easier.

One of the challenges I face with Docker is debugging containers within the infrastructure. It can be tricky to debug applications inside containers, which is a common issue among developers. If easier tools or methods were available to debug applications within Docker containers, it would be very beneficial.

I have been working with the product for two to three years.

I have never contacted support since documentation is available on the issues. The community is huge, and the documentation is pretty good. Additionally, there is information online that I can refer to.

Overall, setting up the Docker environment is quite easy. Many methods exist, such as using Docker Compose and Docker networks to communicate between containers. The main challenge lies in designing the architecture and integrating different frameworks and microservices.

I would rate the ease of setting up the tool at around nine out of ten. The time it takes to deploy depends on the scale of the system. For the early-stage startup I'm currently working with, it doesn't take much time. It's just me handling the deployment. In our early-stage startup, we have a couple of teams with around four to five backend APIs and two front-end services. Deploying these doesn't take much time. My focus is more on minimizing costs due to our lean startup structure.

Using the solution containers saves a lot of time compared to deploying on EC2 instances. It simplifies deployment and greatly reduces the deployment time. So, the internal ROI is quite good, making Docker a very valuable tool for us.

Regarding pricing, we primarily use AWS for our deployments since we have funding for it. We don't spend much on Docker-specific services, just the containerization product. Docker Hub isn't particularly expensive either, so overall, the pricing is pretty reasonable.

I'm a backend engineer and handle major deployments—I'm the only one on the team who does this. I help deploy and configure the product and expose endpoints for other teams. If a service stops working, they contact me to address the issue. I also maintain the deployed environments, including building, testing, and development.

I rate the overall product a ten 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.

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.