Overview

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This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.
Docker on CentOS 8 provides a robust and flexible platform for developing, shipping, and running applications in lightweight containers. This AMI enables users to quickly deploy Docker without the hassle of manual installation and configuration, ensuring a seamless operational experience.
Features:
- Optimized for CentOS 8: Pre-configured to leverage the stability and performance of CentOS 8.
- Latest Docker Version: Includes the latest stable version of Docker, ensuring you have access to the newest features and security enhancements.
- Pre-installed Container Tools: Comes with essential tools for managing containers, facilitating easy deployment and orchestration.
- Enhanced Security: Implements security best practices to safeguard your containers and the host environment.
- Customizable Environment: Easily customize the Docker environment to meet specific development or production requirements.
Benefits:
- Rapid Deployment: Launch your containerized applications quickly and efficiently, reducing time-to-market for new deployments.
- Simplified Management: Benefit from an easy-to-use interface and command-line tools for container management, minimizing administrative overhead.
- Scalability: Effortlessly scale applications as demand grows, leveraging Docker's inherent capabilities for load balancing and resource allocation.
Use Cases:
- Microservices Architecture: Ideal for deploying microservices, enabling you to manage each service independently while maintaining communication between them.
- Development and Testing Environments: Quickly spin up containers for development and testing, ensuring consistency across different stages of deployment.
- CI/CD Pipelines: Integrate with continuous integration and deployment pipelines to automate the build and release processes.
Harness the power of containerization on CentOS 8 with this pre-packaged Docker AMI, designed to enhance your application lifecycle management while delivering performance and reliability.
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Highlights
- The Docker on CentOS 8 AMI offers a robust environment for deploying containerized applications seamlessly. This pre-configured image empowers developers to streamline the setup process by eliminating the need for manual installations. By leveraging Docker's capabilities within the CentOS 8 ecosystem, users can easily manage, scale, and orchestrate container workloads, enhancing application deployment efficiency while ensuring consistency across development and production stages.
- With Docker on CentOS 8, teams can take advantage of CentOS's stability and security features alongside Docker's powerful isolation capabilities. It supports various programming languages and frameworks, making this AMI ideal for development and testing environments. Enterprises can utilize this solution to create microservices architectures, ensuring that each service remains resilient and independently deployable while allowing for rapid iteration and deployment cycles.
- This AMI is particularly well-suited for organizations seeking to integrate DevOps practices. By facilitating continuous integration and delivery (CI/CD) pipelines, Docker on CentOS 8 enhances collaboration between development and operations teams. Additionally, it supports multi-container applications, allowing businesses to build complex systems that are easy to maintain and scale, ultimately leading to reduced time-to-market for new features and applications.
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- ...
Dimension | Cost/hour |
|---|---|
t3a.micro Recommended | $0.07 |
t2.micro | $0.21 |
t3.micro | $0.07 |
c5n.18xlarge | $4.48 |
c5ad.xlarge | $0.28 |
d3.8xlarge | $2.24 |
r7iz.12xlarge | $3.36 |
c7i.xlarge | $0.28 |
r6idn.8xlarge | $2.24 |
r5.metal | $3.36 |
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The instance can be terminated at anytime to stop incurring charges
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
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Additional details
Usage instructions
Once the instance is running, connect to it using a Secure Shell (SSH) client with the configured SSH key. The default username is 'centos'.
OS commands via SSH: SSH as user 'centos' to the running instance and use sudo to run commands requiring root access.
Run docker test with:
sudo docker run hello-world
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Vendor support
Email support for this AMI is available through the following: https://supportedimages.com/support/ OR support@supportedimages.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Standard contract
Customer reviews
Container orchestration has simplified deployments and supports consistent hybrid workflows
What is our primary use case?
My main use case for Docker on CentOS is general use to run our Docker Compose. A specific example of how I use Docker on CentOS for general use is that I use Docker Compose to Kubernetes . I usually combine those tools for orchestration containing containers to deploy our applications. At the moment, I do not remember anything else to add about my main use case; I think we use direct Docker Compose or Kubernetes in general, all combinations.
What is most valuable?
In my experience, the best features Docker on CentOS offers are typical features such as creating a network, creating volumes, starting containers, and supporting both test and production for deploying.
Out of those features, starting containers stands out as most valuable for my workflow because it is my job.
Docker on CentOS has positively impacted my organization as it permits us to develop and deploy our applications very easily; that is really useful, and we can use Docker from different CentOS versions.
This ease of development and deployment has benefited my team by saving time, improving collaboration, and ensuring we have similar versions.
What needs improvement?
I have no additional information on how Docker on CentOS can be improved. At the moment, I have not received additional information regarding anything specific that could be improved with Docker on CentOS.
Generally, I have thoughts on Docker on CentOS's AI capabilities regarding its governance and security. I think there are no strengths or concerns with how Docker on CentOS handles governance and security for AI workloads.
Regarding Docker on CentOS's AI capabilities, I think it has the possibility for improvement in the accuracy and reliability of output.
For how long have I used the solution?
I have been working in my current field for about five years.
What do I think about the stability of the solution?
Docker on CentOS is stable.
What do I think about the scalability of the solution?
Docker on CentOS's scalability is good.
How are customer service and support?
The customer support for Docker on CentOS is fine and faster.
Which solution did I use previously and why did I switch?
Before Docker on CentOS, I used it as a container, but in general, Docker is more full, which is why I switched.
Which other solutions did I evaluate?
In general, I did not evaluate other options before choosing Docker on CentOS; I started with it.
What other advice do I have?
My advice to others looking into using Docker on CentOS is to try it one time. I find Docker on CentOS to be a solid, reliable combination for containerized workloads, where CentOS or RHEL-based systems integrate well with Docker for production deployments. Beyond that, my focus these days is more on Kubernetes orchestration, Helm charts, and infrastructure as code, rather than raw Docker on individual hosts. I gave this review an overall rating of 8.
Integrated containerized tenants have improved networked VM workflows and simplified client isolation
What is our primary use case?
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.
How has it helped my organization?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using Docker on CentOS since 2016.
What do I think about the stability of the solution?
Docker on CentOS is very stable.
What do I think about the scalability of the solution?
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.
How are customer service and support?
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.
Which solution did I use previously and why did I switch?
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.
How was the initial setup?
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.
What about the implementation team?
I deploy Docker on CentOS using a private cloud and my own registry.
What was our ROI?
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%.
What's my experience with pricing, setup cost, and licensing?
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.
Which other solutions did I evaluate?
What other advice do I have?
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.
Containerization has reduced costs and improves deployment speed for microservice workloads
What is our primary use case?
My main use case for Docker on CentOS is for a microservice container service with a Kubernetes orchestration cluster service. I create cluster services for databases, for example Postgres, and services for telecommunication companies, such as Kafka service, HAProxy service, and other services within the company.
The main use cases for Docker on CentOS are to reduce costs for the company because container services cost significantly less compared to virtualization services.
What is most valuable?
The best features Docker on CentOS offers include the price compared to other services, such as OpenShift container service. The pricing is competitive and very stable.
CentOS is a fork of Red Hat, and Red Hat is an excellent operating system for a company. Docker on CentOS has positively impacted my organization by reducing operation costs, providing more reliable service, and saving money for the company budget and on other tools.
What needs improvement?
Docker on CentOS can be improved as a solution service in many companies around Latin America. Regarding Docker on CentOS's AI capabilities, I think its accuracy and reliability of output are less because CentOS , if you want to use the latest version such as number seven, is not compatible with some drivers or libraries for AI.
For how long have I used the solution?
I have been working in my current field for four years.
What other advice do I have?
Docker on CentOS's governance and security services are better than others.
CentOS at this moment does not have support, only CentOS Stream , while you can use other applications like Ansible for governance and security services.
My advice for others looking into using Docker on CentOS is that it significantly reduces the time to deploy services, making it very fast within the company. I would rate this product an 8 out of 10.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Containerization has reduced costs and simplified troubleshooting but leaves some features unexplored
What is our primary use case?
My main use case for Docker on CentOS is mostly doing troubleshooting. I get less time to deploy or do any sort of deployment on Docker using CentOS . We have deployed Docker on CentOS , Red Hat, and Ubuntu , but it is basically whenever they go for any testing setup, my team and I are the ones who create the complete Docker environment or even shift the Docker environment from one server to another.
I have been using Docker on CentOS for quite a long time. I have worked in most of the software houses in my previous two or three organizations. We used to do troubleshooting with Docker and sometimes deployment as well.
What is most valuable?
Docker provides multiple features that include stability and security. Linux itself is a very secure operating system, and because Docker is based on Linux, it has double security. Docker provides stability, security, and modern alterations that we can implement. I am not the person who does testing on Docker, so the DevOps engineer may be able to tell a more exact answer for this question.
Docker on CentOS impacts my organization positively because Docker itself is a good tool to use. It makes life easy. We can prepare Docker quickly in minutes rather than deploying the complete operating system and then libraries. We can deploy Docker and quickly shift applications from one server to another while also making operations easy. It impacts very positively in my organization. The main impact is the reduced cost. Previously, we were using multiple physical servers and cloud machines. When we installed Docker and started working with Docker in the testing environment, it saved our physical machine cost and also the cloud cost.
What needs improvement?
I should have all the things in my hand to say what needs improvement. I need a specific feature to point out. Because I haven't worked on the features, I cannot say anything on how to improve Docker on CentOS.
For how long have I used the solution?
I have been using Docker on CentOS for quite a long time.
What do I think about the stability of the solution?
Docker on CentOS is stable in my experience.
What do I think about the scalability of the solution?
Docker is traditionally considered stable on CentOS-based systems, especially in server environments. Many organizations are running Docker on CentOS, and it is a success of Linux systems that they have made such a useful tool. We can do horizontal scaling with Docker. We can run multiple instances at the same time for an application. Resource usage allows us to divide resources into multiple Docker containers. Easy replication is the best part. We can replicate applications on our own.
How are customer service and support?
I have not been in contact with customer service.
Which solution did I use previously and why did I switch?
We used to use plain CentOS and Red Hat operating systems. I have not used any other solution than Docker.
What other advice do I have?
I would advise others looking into using Docker on CentOS to give it a try. I cannot answer regarding Docker on CentOS's AI capabilities because I am not the governance person and have no idea about how governance works. Regarding Docker on CentOS's accuracy and reliability of output, accuracy is good for Docker on CentOS and reliability is also good because we have deployed so many applications on Docker on CentOS and they are still working, making it a reliable tool. I would rate this product 7.5 overall.
Container security has improved and multi-stage builds optimize diverse application deployments
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using Docker on CentOS for quite a long time, around five to six years.
Which other solutions did I evaluate?
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.
What other advice do I have?
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.