Docker on CentOS Reviews

My main use case for Docker on CentOS is containerizing microservices in local environments on CentOS and then deploying them to the cloud. I essentially use Docker to package the application with all its dependencies, ensuring that what works locally works the same in production without the typical environment differences.

One of the most concrete cases of how I containerized an application with Docker on CentOS was the containerization of the client controller scenery that I developed at NT Comunicaciones. It was an application built in React on the front-end, Node.js on the back-end, and MySQL and Firebase as the database.

Complementing the above, another relevant case was in the context of CapRover on a CentOS VPS at Saltamontes Records Creative, where I used Docker Swarm to orchestrate multiple application containers from different clients.

I can share concrete results I experienced directly in the projects. I reduced deployment times at NT Comunicaciones. Before containerization, a manual deployment including environment preparation, dependency installations, and validations could take between two and three hours. With Docker and the automated pipeline using Jenkins and GitHub Actions, that time drops to minutes. The image is already built and validated. Deployment was simply a matter of downloading the image and starting the container.

Another outcome is infrastructure consolidation and cost reductions. With Docker Swarm and CentOS, I consolidated multiple client applications onto a single VPS that previously required separate servers, resulting in a direct reduction in monthly infrastructure costs because we went from paying for multiple instances to optimizing resource usage on a single, well-sized server. Additionally, there was a reduction of post-deployment incidents and on-team adoptions.

The most concrete impacts regarding the reduction in post-deployment incidents are three. First, deployment times dropped from two to three hours to minutes by eliminating manual preparation of the environment. Second, I consolidated multiple applications on a single VPS with Docker Swarm, directly reducing the monthly infrastructure costs. Third, incidents due to environment differences between development and production practically disappeared, which reduced my post-deployment troubleshooting time and allowed me to focus on pipeline improvements.

The best features Docker on CentOS offers are true portability between environments, process insulation, resource efficiencies compared to VMs, and seamless pipeline integrations in the foundation for scaling.

I can be quite specific on both points because I experienced them firsthand. On portability, it accelerates deployments. On efficiency, it reduces infrastructure costs. The clearest example was at CapRover on CentOS VPS. Before containerization, each client application required its own server or at least its own VM, which multiplied costs. With Docker Swarm, I consolidated several applications onto the same VPS. The impact on the team was that the development team gained confidence in deployments because the environment was no longer a variable. There were no more surprises in production due to configuration differences. This reduced the time I spent troubleshooting post-deployment and allowed me to focus on pipeline improvements instead of putting out fires.

From my experience, there are a few areas where things got tricky working with Docker on CentOS: SE Linux conflicts, other networking configurations, storage driver compatibility, and deployment tools.

I can go deeper on both. On networking, a concrete case at NT Comunicaciones involved a situation where after installing Docker on CentOS, the containers could communicate internally but could not reach external services. The issue was that Docker creates its own iptables and rules, but firewalld was overwriting them on every reload. Every time firewalld restarted, container connectivity broke silently. The fix was to configure Docker to work alongside firewalld properly and set specific zones to allow Docker bridge traffic.

It took me a while to diagnose because the error was not obvious; containers appeared to be running fine, but network calls were just timing out. On storage, a concrete case with device-mapper on an older CentOS setup had me hit a situation where the storage pool ran out of space silently. Docker did not throw a clear error. Containers just started behaving unexpectedly, some failing to write logs, others crashing on startups.

The diagnostic was not straightforward because on the surface, it looked like an application issue. Once I identified it was the device-mapper thin pool hitting its limit, I had to extend it manually, which required stopping services temporarily. After that, I migrated to overlay2 with a kernel update, and the storage management became much more transparent and easier to monitor. The common pattern in both cases is that on CentOS, Docker does not fail loudly. Issues with networking and storage tend to manifest as application misbehavior rather than clear infrastructure errors, which makes the troubleshooting cycle longer if you do not know where to look first.

I have been working in my current field for one year.

There are two additional points that I think are relevant to mention based on practical experience. First is container-level security management. In CentOS, especially the integration of Docker on CentOS with SE Linux caught my attention because it adds an extra layer of security at the operating system level. SE Linux controls what each container can do at the kernel level, limiting the impact if a container is compromised. Initially, it created conflicts that had to be resolved with specific policies, but once configured correctly, it gave me greater peace of mind in production environments. The second point is volumes and data persistence.

Docker on CentOS itself does not produce AI output; it is the runtime environment. What I can speak to is how the container environment impacts the accuracy and reliability of the AI workloads running inside it. On reliability, in my experience at Pacifico Seguros running custom agents with a Copilot inside containerized environments, the big gain is consistency. The model or agent always runs in the exact same environment regardless of where the container is deployed. That eliminates a whole category of reliability issues caused by dependency drift or environment differences that could affect how the AI component behaves.

On accuracy being affected by the container, I did notice a challenge around resource constraints. If the container running an AI workload had tight memory or CPU limits, inference times, and in some cases, responses were incomplete or timed out. Tuning the resource limits in the deployment manifest was critical to ensure the AI component had enough headroom to produce reliable output consistently. On observability, another challenge was monitoring what was happening inside the container when the AI agents are executing. I addressed this by integrating Azure Monitor and Application Insights to capture logs and metrics from inside the container, which gave me visibility into response times, failure rates, and resource consumption patterns of the AI workload.

Based on my experience, I would give three concrete pieces of advice. First, understand CentOS before Docker on CentOS. Second, invest in your pipeline from day one. Third, plan for observability before you hit production. One final thought is that if you are starting fresh today, evaluate whether CentOS is still the right choice given its end-of-life situation. I give this review a rating of seven out of ten.

Docker on CentOS is the best utility for development, and I have no experience with Docker Swarm. We are developing our internal applications that are intended to run in Kubernetes in Docker.

An application where Docker on CentOS plays a key role is as a container manager.

Applications are running in Kubernetes, and Docker on CentOS is a development environment.

Docker on CentOS is an option for containerization and is the approach to consider before going to Kubernetes or more major automating containerization systems.

In my experience, the best features Docker on CentOS offers are images flavor, Docker Hub, and building images.

Docker Hub helps my workflow and development process by being used for image sharing, and we use default images from famous vendors to get direct Docker images to build and in-build our application.

Docker on CentOS has positively impacted my organization by making big data easy to configure and deploy, and it provides a more secure and isolated environment. However, from my personal perspective, you lose to Podman, which is even more secure in terms of environments and CHROOT approach for containerization.

Docker on CentOS has improved my team's workflow and productivity with quick spin up, cluster arrangement, and load balancing making better improvements amongst our internal Kafka cluster.

Docker on CentOS still has a lower entry point and understanding of how everything works, but I do not have any updates on that compared to another solution. Being open source is better than trying to sell the license.

I think improvements around the client-daemon approach and moving to distributed development and process running will improve security and decrease the attack surface.

Regarding Docker on CentOS's AI capabilities, I declined to use that approach because of personal concerns about keeping information where it is.

Regarding Docker on CentOS's AI capabilities, I found it to be less than 30 in terms of accuracy and reliability of output.

I do not consider any Linux distro, including CentOS or Red Hat, to be something incredible or peculiar; they are more or less the same. In my 20 years of experience with Linux, the architecture matters, depending on the CPU and calculator. For improvement in Docker on CentOS, I said to make it more distributed, make it more secure to use, decrease the attack surface, and do something about licensing.

I have been working in my current field for over 11 years.

In my experience, Docker on CentOS is rather stable, allowing multiple Docker images to run in one environment, and it is one of the most useful things that Docker on CentOS is compatible with the configurations to Kubernetes.

I cannot provide insight on scaling if I never used it.

We needed to use customer support for Docker on CentOS.

I previously used a different solution before Docker on CentOS, but the solution was switched together with the company, and I never chose such technology. I was adapting to them and did not have a preference for the technology, but earlier I used the most early container solutions.

I do not have any information on a return on investment.

I did not evaluate other options before choosing Docker on CentOS.

Docker on CentOS has positively impacted my organization by making big data easy to configure and deploy, and it provides a more secure and isolated environment. However, from my personal perspective, you lose to Podman, which is even more secure in terms of environments and CHROOT approach for containerization.

If Docker on CentOS is seven, then Podman is eight, and Kubernetes is ten.

I would say do not stick to CentOS; I understand it is because of AWS, but Docker and Linux work everywhere similarly.

My advice for others looking into using Docker on CentOS is to implement it well with Rancher.

My main use case for Docker on CentOS is for microservices, and I have been using Docker mainly for development and testing environments.

The most common use case for me with Docker on CentOS is to spin up a SQL container, as it is much faster than installing and configuring the database, and it keeps the environment clean.

A typical scenario with Docker on CentOS is when I use a container locally for testing. I usually create a new MySQL container for that.

I think that the container Docker on CentOS is the most beneficial because I am able to create a new container locally very easily.

I believe that the ease of container creation with Docker on CentOS helps my workflow, as it allows me to create testing environments locally.

It is especially useful when you need to test different database versions or reset the state quickly without affecting anything else on the system with Docker on CentOS.

Docker on CentOS has positively impacted my organization by being much faster than installing and configuring the database directly on the machine.

So far, I do not have problems with Docker on CentOS.

I have been working in my current field for 20 years.

I am satisfied with Docker on CentOS in this aspect.

I am able to create a database container with Docker on CentOS in minutes. If I want to create a testing environment, the time is approximately one day.

I recommend searching on the internet for the best practices for setting Docker on CentOS containers.

Docker on CentOS deserves a perfect score of 10 out of 10. It is more efficient nowadays than in the past, which makes Docker on CentOS deserve a perfect score for me. Docker on CentOS is easy to use. Regarding Docker on CentOS's AI capabilities, I think security is important. When using Docker on CentOS's AI capabilities, I find it very accurate and reliable. I would rate this review a 10.

My main use case for Docker on CentOS is building a four-tier project on my PC.

I use Docker on CentOS by installing Docker to manage the Docker files and also to manage my applications, websites, and MySQL from CentOS.

The best features Docker on CentOS offers in my experience are its speed and smooth operation, along with the fact that there is no need to add a repository, and it is free. I can use the repository to download any repository, which is why I use those features. CentOS is free, and I have used it to practice for my exams and to build my four-tier project.

I chose a seven out of ten because Docker on CentOS is very fast and smooth. However, it also needs to improve its security, upgrade the packages, and fix bugs, which is why I deducted three points. It should also provide more updatable features.

Regarding Docker on CentOS's AI capabilities, if I am using it for a banking project, I think we need higher security to prevent hacking and direct attacks on servers. That is why we need to upgrade security on CentOS 9 and develop CentOS 10, an upgraded version, for more feature support and ease of use.

I think it would be very helpful to bring in AI to know more about CentOS 9 and the hidden features it offers.

I have been using Docker on CentOS for the past two years.

Docker on CentOS has positively impacted me by allowing me to upgrade to CentOS 9 to build more security and also manage subscriptions, which sometimes are free but not for organizations. I need to keep the subscription to access more packages and features in the subscription manager, as they do not always provide everything for free.

Docker on CentOS is deployed in my organization using both private and public clouds, as we normally use CentOS 9 for the UAT servers and proxy servers. We are using AWS and Azure for our public and private cloud deployments. I purchased Docker on CentOS through the AWS Marketplace.

I recommend that others looking into using Docker on CentOS consider that I have also recommended CentOS 9 to my colleagues for learning for their exams at no cost to build their skills.

It is important to build on CentOS and to bring in new versions, such as CentOS 9 and CentOS 10, for higher capabilities and features. I would rate Docker on CentOS overall as a seven out of ten.

My main use case for Docker on CentOS involves multipurpose things that are not specific to an application. There is multi-staging build, and there are more considerations, such as PHP, Python, Node, and Java applications, so there are multiple things involved.

I am primarily building multi-staging builds for the front-end type of application with Docker on CentOS to optimize the Docker image. This is the basic use case I am using, but apart from this, there are many more things I am utilizing.

The features Docker on CentOS offers are not something I categorize as best; things are common for my use cases.

I use basic functionality, but mainly no one is implementing isolation and security user-specific details. However, I am using user-specific details to prevent hacking, along with containerization.

Docker on CentOS has not positively impacted my organization in metrics such as time saved, cost reduction, or improved efficiency, as it is basically the same in every environment. Comparatively, whether using an Ubuntu machine or a Graviton machine, I find there is a difference between Graviton and CentOS, but on CentOS, I am primarily using YUM packages. Deploying my application on any platform such as CentOS or Ubuntu feels similar; therefore, there is not a significant consideration regarding metrics.

Docker on CentOS can be improved by using XFS, ftype, and overlay storage drivers for faster storage. I can move data more effectively and limit container logs, along with CPU and memory limits. These are basic enhancements I can use on every platform such as Ubuntu, showcasing similarities between CentOS and Ubuntu regarding such improvements.

Needed improvements for Docker on CentOS include better POC, searching techniques, and leveraging AI because AI can provide insights into standard practices, compliance, user specifications, security, logging, monitoring, and isolation. These improvements can help provide better Dockerfiles and Docker Compose files for developers, especially in this AI-trending market.

I have been using Docker on CentOS for quite a long time, around five to six years.

My usage of features such as Docker on CentOS depends on various factors, and I am not using it only on CentOS; I am also using Amazon ECS Fargate where I deploy my containers using managed container services. I am not using Docker Swarm because of multiple platforms available for container management. That is why I do not use Docker on CentOS exclusively, but it is basically defined by AWS itself, so I do not need to manage auto-scaling. For EC2 machines, I can handle things manually via command lines, making deployment easy without significant issues.

I use Docker Compose as well with Docker on CentOS, and in the Dockerfile, I am using Alpine, which includes security features and user-specific details. There is no specific thing; based on our needs and tech stack, I am implementing solutions, focusing on optimization and flexibility.

I would give Docker on CentOS an eight or nine because since the beginning, I have used Docker in this particular CentOS environment, and then moved on to Ubuntu and ECS Fargate. Across all these environments, I notice the same issues without significant problems. The main differences are in package management commands; CentOS uses YUM while Ubuntu utilizes APT for package installations, making everything else on Docker quite similar across platforms, which is why I assign it an eight to nine rating. Docker on CentOS is indeed great; it is not only about CentOS.

Regarding Docker on CentOS's AI capabilities, I believe Docker itself does not provide AI security controls. From a security perspective, Docker helps by isolating AI workloads in containers, controlling resource usage, enforcing image scanning, and maintaining supply chain security. I also believe it applies network and access control, but there is no direct built-in feature of AI.

Concerning the accuracy and reliability of output from Docker on CentOS and its AI capabilities, I consider that Docker on CentOS lacks AI features as it is a container platform and not an AI model. The accuracy depends on the AI application running inside the container, not on Docker or CentOS itself. Docker improves reliability by offering a consistent and reproducible runtime environment, but output accuracy still relies on the model's data, prompts, and configurations used by AI applications. Docker does not validate or fact-check AI responses because it just runs isolated containers. However, deploying an AI agent within a container can help monitor other containers and responses, such as using Homeless GPT.

My advice for others looking into using Docker on CentOS includes considering version support and ensuring images are regularly patched and trusted. Whenever needed, I suggest using Alpine optimized images, enabling the image scanning process during deployment, and running containers with the least privileges to avoid unauthorized access within the container, while also limiting CPU and memory resources. It is important to consider volume mounting and backups, use logging and monitoring features for containers and hosts, and keep Docker engines and container images up to date with the latest dependencies to prevent hacking. Additionally, employing image versioning and maintaining isolated network environments is crucial, along with testing deployments separately from production environments. I would rate Docker on CentOS an eight out of ten.

My main use case for Docker on CentOS is for a containerization platform, packaging applications with their dependencies for lightweight and portable containers.

A quick, specific example of how I use Docker on CentOS for containerization is that we have dockerized our frontend, backend, and database into containers, and we have hosted them using Docker on CentOS. We have multiple software images for availability and for application uptime, and it is lightweight.

The best features Docker on CentOS offers are its lightweight and fast nature, with containers sharing the OS kernel, making it faster than VMs and providing quick startup time. It also ensures a consistent environment where applications will work on every machine, not just the developer's machine, and offers resource efficiency, such as no full OS per application, allowing me to share my infrastructure with multiple containers and applications. Additionally, it provides easy deployment and scaling.

The most valuable features to me in my daily work are all of the following: lightweight nature, consistent environment, resource efficiency, and easy deployment. We do not need to worry about our source requiring more memory; it is lightweight and fast, and the deployment does not take much time. If we want to scale our infrastructure, we can just create a new Docker image and it will scale, so all of those features are important to us.

Docker on CentOS has positively impacted my organization because we do not need much resource per application, and our deployment time has decreased, allowing us to avoid using more VMs to host our applications. Regarding the decrease in deployment time, I am saving 30 to 40 percent of our time, and before Docker, we had been using 10 to 20 VMs, but after that, it has become half, approximately 10 or 11 VMs.

Docker on CentOS can be improved by addressing security concerns, such as sharing the kernel, which leads to weaker isolation than VMs. Sometimes misconfiguration can happen, such as using ports or other networking issues. Currently, as I have heard, Docker on CentOS is not officially supported, so I am considering whether there are alternatives or not.

I have been using Docker on CentOS for two years.

Docker on CentOS is stable, but as I mentioned, there are some improvements needed, and after that, I hope it will be good.

Docker on CentOS's scalability is good; if we need more resources, we can just spin up a new Docker image, so scalability is good.

I previously used VMs, but they were expensive, and it was an overhead for us to manage, so that is why we switched to Docker on CentOS.

After switching to Docker on CentOS from VMs, I have seen a return on investment, saving 40 to 50 percent of our money as well.

My experience with pricing, setup cost, and licensing is that there is no licensing in Docker on CentOS, and the setup is easy; we just need to create the images for our application, so it is easy.

Before choosing Docker on CentOS, I did not evaluate other options because we had a clear mindset that we wanted to use Docker on CentOS. We saw the public review, so that is why we thought we wanted to use Docker on CentOS only.

My advice to others looking into using Docker on CentOS is that if they want to containerize an application, make their deployment easy, avoid VM management overhead, and save costs, they can use Docker on CentOS. I would rate this product an 8 out of 10.

My main use case for Docker on CentOS is building a proof of concept web application for a few months.

In my opinion, the best features Docker on CentOS offers are limited right now due to its deprecation about a year and a half ago, which presents a lot of security risks. However, it previously had a huge documentation base because it was the industry standard for years, was very resource-efficient, and had a reliable file system from being derived from Red Hat Enterprise.

Docker on CentOS did not benefit my organization all that much because it was in a deprecated state when I was using it, which is why I quickly stopped using it due to the security vulnerabilities.

If Docker on CentOS were still actively supported, I would want to see security vulnerabilities patched since it has been deprecated for the last year and a half and to ensure that networking sections or commands do not conflict with Podman, which Red Hat now promotes.

I have been using Docker on CentOS for a few months.

In my experience, Docker on CentOS is not stable anymore because it is not actively being maintained.

Docker on CentOS is scalable; I can build virtual machines, EC2 instances, and scale from zero to however many I want, but it is not advisable due to its deprecated state.

I did not reach out for support specifically about Docker on CentOS, but I utilized Amazon's underlying AWS support, which is good and has quick response times.

I previously used Debian with Docker, which is actively maintained, and I was reading some old documentation recommending CentOS when I started using it.

I did not purchase Docker on CentOS through the AWS Marketplace, but rather through the EC2 section of the AWS console.

I have not seen a return on investment because the deprecation made it so there was none, and if anything, the ROI would have been negative since money and time were spent using something that did not progress.

My experience with pricing, setup cost, and licensing was all good; cost was never an issue, but security and deprecation made it a bad idea to use.

Before choosing Docker on CentOS, I considered using Debian because it seemed quicker and more efficient based on the documentation, but in the end, it turned out less efficient as I had to switch back to Debian.

A quick specific example of how Docker on CentOS helped with my weather application proof of concept is that I was running a proof of concept to build a web app on CentOS on Docker on EC2 instances in AWS, but I realized quite quickly that CentOS actually became end-of-life in 2024, which led me to stop using it due to its deprecated state.

Those features helped me specifically during my project by making it more stable since it used less resources, resulting in a cost-efficient deployment, as the machines that I deployed it on used less of the resources than I thought they needed.

A lesson learned during that period that impacted my future decisions was to understand the development or deprecation timelines of all different types of software pieces in my stack and also to pay more attention to the organization's direction, as Red Hat was making it clear they wanted to switch away from CentOS 7 towards CentOS Stream.

My advice to others looking into using Docker on CentOS is not to use it because it is deprecated; instead, they should opt for something that is actively being maintained, such as Ubuntu or Debian.

I gave this review a rating of 7.

My main use case for Docker on CentOS is economizing. First, we were having to spin up a PBX mainly, and when using Asterisk, instead of creating a full dedicated server for this, I would use Docker to spin up the Asterisk that then easily integrates the Asterisk user cases, especially a customer calling us with our Django and API. Docker containers allow us to match the incoming call with the record so that we know who is calling us, at what time, and using which phone number so that we can create an omnichannel.

Using Docker on CentOS has specifically helped me manage incoming calls and match records through ease of scalability and ease of troubleshooting. In terms of reliability and vertical or horizontal scaling, it is much easier when using containers, and making changes that are specific to a certain element is easier than bringing down the whole infrastructure, so I find that troubleshooting failure is also easier.

Docker on CentOS has positively impacted my organization by saving time and reducing costs in terms of manpower. We do not require as many engineers because Docker gives you infrastructure as code through our cloud platform. Now that you can easily maintain infrastructure as code, you find that you do not need maybe ten plus engineers to manage complex platforms across multiple markets.

The time to recover was almost cut in half when we started simplifying this using microservices. We noticed that we can do a lot more in terms of reporting because databases would be quite heavier in production and impact bare metal VMs. This vertical and horizontal scale that is automated helped us, and even when someone is running a report, there is business continuity. We saw that the incidents that were raised because of lack of system resources during heavy reporting was almost cut by half, moving from thirteen incidents to only one incident a week.

Going from thirteen incidents a week down to one was mainly due to going the microservices way, and then also splitting the underlying workload, splitting more of a reporting workload from live platforms.

To improve Docker on CentOS, apart from having CentOS be end of life, which raises a security risk, I do not see anything else that I can point out about Docker. The only reason for sometimes the build cache surprises of Docker and volume permission headaches, especially on Linux, are considerations. We were finding a way of managing the image bloat on Docker.

I have been using Docker on CentOS for the last seven to eight years.

Docker on CentOS is very much stable.

The scalability of Docker on CentOS, while I note that we are moving away from CentOS if not already, I would give it a ten out of ten in terms of scalability and ease of management of the libraries.

For customer support for Docker on CentOS, I do not reach out. We always use the community of Docker and the Linux community or the CentOS community, which gives reliable information. Professional support is not needed since everything we do is in-house.

Before Docker on CentOS, we were using VMs entirely and bare metals. When we switched to microservices, it is quite much better in terms of scaling and horizontal and vertical scaling.

My experience with pricing, setup cost, and licensing is that since we do it in-house, apart from paying for the cloud hosting, there is nothing like an associated cost with that.

Before choosing Docker on CentOS, we did not evaluate any other options. The solution was just to move to microservices using Docker.

I am migrating workloads from CentOS to another Linux flavor. Regarding the libraries and the security aspect, nothing to add apart from that it is end of life and I am quite behind schedule of migrating these workloads away from CentOS. I would trust the repository updates from CentOS, given that most of these would be tested before they are taken to Red Hat. Apart from the migration from end of life, there is a huge risk that I am seeing, but there is nothing else I can add.

Regarding Docker on CentOS's AI capabilities, I cannot provide expertise as I am not a security expert. I trust the updates from the Docker repository and everything that has been updated, and I would say that I trust the platform as Docker.

My advice to others looking into using Docker on CentOS is that since Docker is still supported and growing and the community is good, it is a great product. For CentOS, either move to Rocky Linux or move to Debian.

I rate Docker on CentOS an eight out of ten.

I don't have any specific use case with Dell PowerEdge. I work with it as a server where we install software and run Red Hat Enterprise.

I work with Red Hat Enterprise Linux 7 and 8, but I don't specifically use Red Hat OpenShift or Red Hat JBoss.

Docker on CentOS has improved my organization positively. The benefits are significant as it is easy to operate and maintain, making it more flexible. You can change any service in the system, delete or remove the service port, and create new ones.

It is difficult for me to suggest improvements because the current functionality meets my needs.

To achieve a higher rating of 9 or 10, they might need more automation features.

Docker on CentOS is quite stable. I would rate it 8 or 9 out of 10.

I rate their support as a partner. We purchase the software and product from them, so when I have an issue with Red Hat or Docker on CentOS or Kubernetes, I create a ticket with the partner who works directly with the respective teams.

I have experience with their support through a few cases requiring Red Hat assistance. I go through our software partner who communicates with the Red Hat team, and they communicate with Docker on CentOS or Kubernetes team to resolve issues.

Positive

The initial setup of Docker on CentOS is not too difficult. We can accomplish it very generally.

I don't have experience with Docker on CentOS pricing. Since Docker on CentOS, Kubernetes, and Red Hat are open source, I believe the cost is only applicable for support services.

I don't have experience with Dell PowerStore as I haven't worked with it. I am not familiar with PowerStore or its function.

I haven't worked with Dell Data Protection or DPA. My experience is limited to servers, switches, and EMC Unity storage.

The orchestration and CI/CD process relates to the architecture engineer and solution architecture.

I rate Docker on CentOS an 8 out of 10.

All of our development is done with Docker on CentOS. In some cases, we also do the deployment for clients on staging and in maybe one or two cases even in production with Docker on CentOS, but mostly it is for development.

Docker on CentOS by itself has great features because the containers concept is already a great use case. Previously, each developer had their own PHP, own Symfony, own database, and then we had some issues with versions. When we deploy to clients, we might have again some such issues. The consistency that Docker on CentOS provides helps our workflow because it avoids developers having issues with versions of applications.

Regarding Symfony, we use many bundles, and not only Docker but also by mainly using things such as Git or Composer, we quite reduce this inconsistency with bundles. Putting everything in Docker helps a lot.

Regarding where I see the biggest gains with Docker on CentOS, it definitely eases the onboarding process because we can more quickly put people to just Git pull and Docker up, and they have a working environment. For issues, except inconsistency issues that we had at some point, we definitely gain here. For deployment, most of our customers have Docker on their environments, and it is easier as well. We have the same environment running everywhere.

Regarding how Docker on CentOS can be improved, I have not thought about this much. If I had to think of one thing that could make my experience with Docker on CentOS even better, I do not have any issues myself. When teams have any issues, I can help them with my experience with it. No specific issues come to my mind.

I have been using Docker on CentOS for about seven or eight years.

Docker on CentOS is quite stable and I have not encountered any issues until now, so for me it is stable.

If my projects or team grew, I think Docker on CentOS would handle more containers or more complex setups easily. I have read and gotten feedback that I did not see any issues regarding scalability. When we talk about scalability, it is not infinite, but for the types of projects we do, I think it is quite scalable.

The customer support for Docker on CentOS is something I have never needed; I always manage by myself.

We did not have any alternate solution before using Docker on CentOS. I discovered Docker about seven or eight years back and really appreciated the idea and have stayed with it.

I choose a ten out of ten for Docker on CentOS because for me it is a tool that helps a lot and I did not have any issues with it. Docker on CentOS is deployed in our organization with no cloud deployment here. Each person has Docker installed on their development environment and we just share the Docker files through Git.

I have no additional thoughts about Docker on CentOS before we wrap up. I just hope that Docker continues as it is and always keeps up to date with new technologies so that we can use it for a few more years.

I have not measured the return on investment for Docker on CentOS, but if intuition counts, I would say ten percent time and energy saved. Regarding fewer employees needed, it does not reduce headcount. It only provides savings and allows us to produce better work.

Regarding my experience with pricing, setup cost, and licensing for Docker on CentOS, as far as I know it is free for small teams, so there are no issues with the pricing. The setup is very smooth as I think I master it or at minimum know it very well. There is no specific licensing on it either.

I did not evaluate other options before choosing Docker on CentOS. I just heard about Docker and tried it because I had already received interesting feedback and never tried any alternative.

Docker on CentOS has impacted our organization positively. I have not quantified how much it has helped us in terms of productivity or gains in avoiding issues, but I would estimate perhaps ten percent improvement. This is not a calculated figure but more of an intuitive assessment.

My advice for others looking into using Docker on CentOS is that if they have not tried it, I would encourage them to go try it. If when trying it they find issues, I would say there is quite a good community around it, so do not hesitate to reach out. Additionally, I would say that the most common AI tools such as ChatGPT and Gemini help a lot if needed. I gave this review a rating of ten out of ten.