Docker on CentOS Reviews

My main use case for Docker on CentOS is to provide infrastructure-related support for one of my clients who has their own environment, along with performance testing tools, so we set up Docker on their CentOS servers.

A specific example of how I use Docker on CentOS for performance testing or insulated support is when the client needs to test their application on their environment, so we install the CentOS server with our product image, spin up the container, and test a few use cases.

Regarding my main use case for Docker on CentOS, I face challenges with Docker sometimes having network-related issues, which require us to restart the Docker daemon, but apart from this, I am not facing any other issues with Docker.

The best features Docker on CentOS offers are that it works equally well on CentOS as it does on Ubuntu or RHEL, though for one or two specific use cases, we set up Docker on the CentOS environment for our client only.

The compatibility of Docker on CentOS is really smooth, and I have not faced any kind of issue.

Docker on CentOS has positively impacted my organization because I manage the client's environment, and since CentOS is a free version for RHEL servers, they use it for cost criteria, and Docker works smoothly on CentOS.

I cannot provide specific outcomes or metrics related to efficiency, cost savings, or performance improvements since using Docker on CentOS in the client environments due to limited access, but I believe they use CentOS for Docker setup for cost-saving, and Docker is stable as an OS for RHEL freeware.

I am not facing any performance or compatibility issues on Docker on CentOS that need improvement.

Docker sometimes has some network-related issues, such as the host network not working, so we switch to a different type of network, and regarding CentOS, we are not using any support since it is freeware, relying only on documentation which serves as our support.

I am not finding anything that Docker on CentOS needs to improve because its documentation covers everything that works as expected.

I have been using Docker on CentOS for around four years.

Docker on CentOS is stable.

The scalability of Docker on CentOS depends on the hardware; if you have good hardware, you can scale Docker on CentOS as required.

I have not used the support for Docker and CentOS since both are free resources, and I do not believe we need support for this.

Before choosing Docker on CentOS, I evaluated other options such as Ubuntu, as I have used it for our environment, but Docker on CentOS was chosen for the client requirement.

My experience with pricing, setup cost, and licensing for Docker on CentOS is very favorable as CentOS is free of cost and does not require a purchase license, and the same applies to Docker without needing any specific license, but we do need manpower knowledgeable in Docker on CentOS for installation.

We use AWS as our cloud provider for Docker on CentOS.

I have seen some money saved because when someone requires a RHEL-based OS with Docker, CentOS is the best choice due to being freeware, making it easy to set up on that machine.

My experience with pricing, setup cost, and licensing for Docker on CentOS is very favorable as CentOS is free of cost and does not require a purchase license, and the same applies to Docker without needing any specific license, but we do need manpower knowledgeable in Docker on CentOS for installation.

I am not using any different solution.

My advice for others looking into using Docker on CentOS is that if your client or company requires an RHEL-based environment and needs Docker, you can set up Docker on CentOS servers easily for testing, and if a subscription-related task is needed, then consider switching to an RHEL subscription.

I do not have any additional thoughts about Docker on CentOS. My overall review rating for Docker on CentOS is ten out of ten.

Public Cloud

Amazon Web Services (AWS)

My main use case for Docker on CentOS is for local development, tests, and creating new server and server test applications, making the integration from staging and the production environments. Some of that work was applied at Johnson & Johnson.

A specific example of how I use Docker on CentOS in one of those situations is that we create staging development sites using CentOS as the original VM application and inside of these VMs, we put Docker and configure the containers inside of it to make the IP configuration easier on CentOS. We can also create a good network interface and network jobs between the different VMs. We used to isolate some databases in Docker containers in different stages, using CentOS to separate these stages. We can also create some network environments and share folders between the different VMs using CentOS.

Last week, I built a Proxmox server with some VMs using CentOS and integrating not only Docker but also cPanel configured by me inside of my Proxmox. I created the environment to make the replication of the tenants from different clients automatically using Node.js as a backend and creating automatically with Terraform and using CentOS as the main image to use in our environment.

The network integration of Docker on CentOS makes my workflow easier because when I create a new tenant in my environment, I just build a VM with this configurator inside of my ecosystem. I integrate the creation of new VMs and the tenants using Terraform, integrating with CentOS, and inside of this CentOS image, I put Docker and containers, which I use to isolate some clients. However, I need to have access from my tenant manager to create the folders and share them. The containers are isolated between the VMs, but the VMs have some access between them to get some configuration from the original Proxmox environment configurator.

I have some Grafana and Prometheus applied to these servers, and I made some measures about the improvement in file transfer between them, which shows an improvement of 20% from the last Ubuntu applications. The easier monitoring between the VMs using that shared folder is also a very useful tool.

Docker on CentOS impacts my organization positively because it is a very useful tool to create a strategic environment where we can plan every container with what we need to do between them. CentOS is a great solution to create the background environment and connect my tenants using my tenant evaluator. With this, I can easily create the environment, network isolation, and sharing folders that we need to share between them.

The best features Docker on CentOS offers are the configuration of the network between the VMs and the integration of this network with Docker, which is the easiest thing that we can use with these environments. When we talk about Ubuntu or other options, sharing this network and sharing the folders between them is a little bit difficult in comparison with CentOS.

Docker on CentOS can be improved by using the Terraform creation, pointing for a smaller CentOS version that we can create to just take exactly what we need to consume in our image. Instead of getting a full version of CentOS, we can take the small version and only install what we need on the server. This can be very useful to make more space for our clients.

I think Docker on CentOS could benefit from images that we can create or have, for example, just a module based on Portainer or some UI interface to create the containers automatically or create some internal APIs to make it easier to configure this by Terraform.

I have been using Docker on CentOS since 2016.

Docker on CentOS is very stable.

My setup of Docker on CentOS allows for horizontal scalability; I can upgrade memory and processors, and CentOS automatically scales when we make adjustments inside of the VMs. Docker will adapt to these adjustments using the correctness in the Dockerfile.

My customer support is automated by AI; therefore, I don't have specific feedback about support teams related to CentOS.

I have never needed help from support teams; I find the documentation very well formulated and easier to implement.

Before using Docker on CentOS, I used Ubuntu, but the size of the image for Ubuntu was not optimal, making it harder to configure in Terraform. That's why I switched to CentOS.

The setup costs of CentOS include some versions without a cost, but I don't get the enterprise licensing for now, and I'm using the normal open-source licensing for CentOS.

I deploy Docker on CentOS using a private cloud and my own registry.

I have seen a return on investment; I built my own AI agents connected to my Proxmox server, which led to significant improvements in time and money saved, amounting to over 60%.

The setup costs of CentOS include some versions without a cost, but I don't get the enterprise licensing for now, and I'm using the normal open-source licensing for CentOS.

I evaluated other options before choosing Docker on CentOS, including Debian, Ubuntu itself, and FreeDOS. However, CentOS was easier to integrate and more useful when using WHM and cPanel.

Regarding the accuracy and reliability of Docker on CentOS's AI capabilities, I need to train my AI here to configure CentOS and Docker. After training, the application runs well. AI identifies applications and the configuration accurately, and we can create tools that make AI available to consume the CentOS configuration, even though I haven't yet used CentOS integrated with GPUs or AI engines.

My advice for others looking into using Docker on CentOS is to evaluate your infrastructure and do thorough planning before implementation.

The governance and security of Docker on CentOS are very good because we have a lot of tools to maintain and ensure the sustainability of that environment. This is especially true when integrating keys, and we have keys in all Linux systems, but they put the keys in one space that's easier to get. The first access of CentOS not using root is a very secure feature, as we need to make our root environment and create a root user different from the original root, which is a significant security improvement.

I have given Docker on CentOS a rating of 8.

Private Cloud

Other

Docker on CentOS serves my main use case of containerization and DevOps workflow. In my DevOps workflow, I use Docker on CentOS for easy integration with Kubernetes, Jenkins, or GitLab using CI/CD pipelines. I also use it in a large ecosystem where it manages Docker images and tool management.

The best features Docker on CentOS offers are the lightweight containerization platform. Docker on CentOS provides lightweight containerization that enables efficient resource utilization compared to virtual machines and fast application deployment. It also provides support for DevOps workflow, CI/CD pipelines, supports Linux performance, and allows easy integration with Kubernetes and Jenkins.

In my day-to-day workflow, the best feature of Docker on CentOS is its integration with Kubernetes, Jenkins, GitLab, and CI/CD. As I work in a DevOps profile, I use Docker on CentOS and integrate it with these tools. Managing my microservices and DevOps workflow becomes easier with this help.

With Docker on CentOS, my organization has achieved a faster application deployment cycle. It has reduced our infrastructure overhead and improved the scalability of applications with better utilization of server resources.

Server resource utilization improves with Docker on CentOS because it is a lightweight container. All the requirements and prerequisites needed for deploying any virtual machine or application became easier. The deployment lifecycle also became easier and the time was reduced because we are using it with different types of tools such as Kubernetes, Git, and Jenkins.

There are not many requirement improvements needed for Docker on CentOS. However, security hardening is required for production and network configurations are somewhat complex.

CentOS older versions especially required support and storage persistence management needs careful planning.

I have been working in my current field for the past two and a half years.

I have not experienced stability issues with Docker on CentOS.

Docker on CentOS's scalability is excellent. I can scale in or scale out my application as well as scale in or scale out the resources that are required.

Customer support is good for Docker on CentOS, but the customer support for CentOS needs some improvements.

Previously we were using traditional virtual machine-based deployments, but they consumed high resources and had a slow deployment lifecycle. That is why we switched to Docker on CentOS because it is lightweight, fast to deploy, and ensures consistency across different teams. It also integrates with Docker, Kubernetes, Jenkins, and GitLabs.

The initial setup process was straightforward.

We are a reseller.

Money was saved with Docker on CentOS, and time was also saved significantly because the entire application deployment lifecycle became easier.

There were no setup costs involved.

Others should consider Docker on CentOS as a reliable setup for containerized workloads and DevOps environments, especially if they already have a Linux infrastructure. They should consider long-term operating system support planning and implement proper security hardening. They can easily switch to Docker on CentOS, which will improve their application deployment lifecycle and resource utilization.

Because of CentOS lifecycle issues and support issues, additional security tuning that is required, and storage and networking complexity, I am providing this feedback. I would rate this review as nine out of ten.

On-premises

Amazon Web Services (AWS)

Our main use case for Docker on CentOS is to run separate data pipelines to ensure that we isolate multiple processings to avoid conflicts, to accelerate our pipelines and make sure that it's properly processed down the road.

For example, we have a huge amount of datasets, and when it comes to running some specific queries or running data parallelly, we use Docker on CentOS sometimes on top of Google Cloud.

Docker on CentOS has been useful to us because we are also a medical device company, so it has helped us accelerate things and deliver them faster on our medical device.

The best features Docker on CentOS offers for our team are easy deployment, containerization, and Docker Compose orchestration. We also value the data volume persistency.

The orchestration using the YAML file is something we really appreciate on a daily basis and it's straightforward.

Docker on CentOS has positively impacted our organization with deployment, easy orchestration, and the learning curve is also good for our teams.

We would improve Docker on CentOS because we never use it for image processing, for example. We would like to be able to use it efficiently for image processing since we have a couple of projects coming up, and if that can be accelerated, that would be beneficial.

Regarding Docker on CentOS's AI capabilities, we have a lot of challenges because of the bubble of AI. The security on Docker on CentOS needs to be highly improved to avoid threats around it and also help us protect better our stakeholders' data, more specifically patient data.

While we don't use conversational AI, regarding Docker on CentOS's AI capabilities, we do deploy machine learning algorithms and use them, but we don't use conversational AI.

We've been using Docker on CentOS for a while now, and we use it for orchestration.

Our team, since we are still a startup, doesn't have a lot of senior members, so most of them are intermediate and entry-level. Something we've noticed is it doesn't take a lot of time for them to understand how Docker on CentOS works, and it doesn't take them a lot of time to quickly start deploying solutions and data pipelines on the infrastructure. We really appreciate that because it cuts down our delivery time. I would rate this product an 8 out of 10.

Hybrid Cloud

Google

My main use case for Docker on CentOS is hosting web applications, working with microservices, setting up HAProxy load balancers, building application images, creating containerized images, and deploying multi-tier applications.

A specific example of a web application I have deployed using Docker on CentOS is NGINX, along with Apache HTTPD, while also working on some Node.js and Python-based applications inside containers.

The best features Docker on CentOS offers include very lightweight containers, fast deployments, portability, isolation, and image-based deployments.

The isolation feature helps my team as each container runs separately whenever we deploy any web-based application, ensuring that if one application crashes, others are not directly affected.

Docker on CentOS has positively impacted our organization by providing faster application deployment, better resource utilization, and easier scaling.

Faster deployment with Docker on CentOS saves us time, as traditional methods for building microservice-based servers take about thirty minutes to one hour, while using Docker on CentOS allows us to spin up containers within one second, avoiding dependency conflicts. Containers use fewer resources than virtual machines and traditional virtualization technology.

Docker on CentOS can be improved in areas such as container security and monitoring complexity, which need to be addressed from the CentOS end.

Regarding improvements related to security, containers share the host kernels, where improper configuration can create risks. In monitoring complexity, large container environments require logging, monitoring, and orchestration, while currently, only Docker on CentOS logs provide some metrics but not in a very well-structured way.

The reason I give it a nine is due to weak points like needing expertise in production security, where large deployments require proper image scanning, role-based access control, runtime security, and orchestration. While Docker on CentOS has orchestration like Docker Swarm, it falls short in image scanning and RBAC, making it insufficient to scale properly in a container environment without a well-matured orchestration.

I have been using Docker on CentOS for the last five years.

Docker on CentOS is very stable in my experience.

Scalability-wise, Docker on CentOS is very good, as it spins up new microservices containers within a second and allows us to create multi-tier applications in a very limited time.

The customer support for Docker on CentOS has been good, and I have had to reach out to them.

I have not used a different solution before Docker on CentOS, as we are only using Docker on CentOS as our container engine and CentOS as our base operating system.

Before choosing Docker on CentOS, I did not evaluate other options; we have been using Docker on CentOS from scratch as our container engine.

My advice to others looking into using Docker on CentOS is that if they are interested in launching containerization-based technology, they should evaluate the skills with Docker on CentOS containers, play with containers, create container images, run containers in a very limited time, and test microservice-based applications using containerization technology, which are some of the main features of Docker on CentOS. I give Docker on CentOS a rating of nine out of ten.

On-premises

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.

Hybrid Cloud

Microsoft Azure

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.

On-premises

Other

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.

Private Cloud

Amazon Web Services (AWS)

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.

Hybrid Cloud

Other

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.

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