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    Docker on Oracle Linux 10

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    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support. Docker on Oracle Linux 10 provides a robust and scalable environment for developing, running, and managing containerized applications. Leveraging the performance and stability of Oracle Linux, this AMI is optimized for deploying microservices and cloud-native applications efficiently. With built-in support for Docker, users can easily create and manage containers, streamlining their development workflows. This solution is ideal for organizations looking to enhance application deployment speed, simplify continuous integration and delivery (CI/CD) processes, and improve resource utilization in cloud environments. Whether for enterprise applications or small-scale projects, Docker on Oracle Linux 10 is designed to help developers focus on innovation, while ensuring a secure and reliable infrastructure.
    4.2

    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.

    Overview

    Docker on Oracle Linux 10 offers a powerful combination of containerization and a stable, enterprise-ready operating system. This AMI is optimized for running containerized applications efficiently in the AWS cloud environment.

    Key Features

    • Seamless Integration: Deploy and manage your containers easily with full support for Docker commands and capabilities.
    • Optimized Performance: Leverage Oracle Linux 10's lightweight architecture for improved resource allocation and faster deployment times.
    • Security Enhancements: Benefit from built-in security features of Oracle Linux, including SE Linux and automated updates, to protect your containerized applications.
    • Comprehensive Documentation: Extensive resources and documentation are available to assist with deployment, management, and troubleshooting of your containers.

    Benefits

    • Flexibility: Quickly scale your applications by spinning up and down container instances as needed.
    • Cost-Effective: Reduce infrastructure costs by fully utilizing cloud resources with containerization, minimizing resource waste.
    • Ease of Management: Simplify the deployment lifecycle with Docker's tooling for monitoring, versioning, and orchestration.
    • Consistency Across Environments: Ensure consistency between development, testing, and production environments through the use of containers.

    Use Cases

    • Microservices Architecture: Deploy and manage microservices applications with enhanced isolation and scalability.
    • Development and Testing: Create isolated environments for development and testing, enabling fast iterations without affecting production.
    • Hybrid Cloud Deployments: Facilitate hybrid cloud strategies by running Docker containers across on-premises and public cloud environments.

    Docker on Oracle Linux 10 is your go-to solution for building, scaling, and managing containerized applications in the cloud, ensuring that you leverage the full capabilities of both Docker and Oracle Linux. Experience the future of application deployment with this powerful combination.

    Try our most popular AMIs on AWS EC2

    Highlights

    • Docker on Oracle Linux 10 offers a robust containerization platform that streamlines application deployment and management. By utilizing Oracle Linux's advanced security features and compatibility with enterprise applications, users can efficiently run, manage, and scale containerized workloads.
    • This AMI simplifies the installation and configuration process, allowing developers to quickly get started with container-based applications. Additionally, it supports a wide range of development tools and libraries, enabling seamless integration with CI/CD pipelines. Users can leverage Docker's extensive ecosystem for microservices architectures, improving the overall agility and responsiveness of their application development lifecycle.
    • Leveraging Docker on Oracle Linux 10 is particularly advantageous for enterprises looking to modernize their applications and reduce operational overhead. Organizations can easily create isolated environments for testing and production, facilitating faster debug cycles and increasing deployment frequency. With comprehensive support and regular updates, businesses can confidently adopt container technology while minimizing risk and ensuring compliance with industry standards.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    OtherLinux 10

    Deployed on AWS
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    Pricing

    Docker on Oracle Linux 10

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (593)

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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

    Vendor refund policy

    The instance can be terminated at anytime to stop incurring charges

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    Vendor terms and conditions

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    Usage information

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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.

    Version release notes

    System update

    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

    Resources

    Support

    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.

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    Accolades

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    Top
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    In Infrastructure as Code
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    100
    In High Performance Computing
    Top
    25
    In Operating Systems

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
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    Overview

     Info
    AI generated from product descriptions
    Pre-configured Container Runtime
    Latest stable version of Docker included with pre-installed container management tools for immediate deployment without manual installation and configuration
    Operating System Foundation
    CentOS 8 base operating system providing stability and performance optimization for containerized workloads
    Security Implementation
    Security best practices implemented to safeguard containers and host environment with CentOS security features
    Container Orchestration Support
    Support for multi-container applications and container orchestration enabling microservices architecture deployment and independent service management
    Development and CI/CD Integration
    Compatibility with continuous integration and continuous deployment pipelines supporting automated build and release processes
    SELinux Security Enforcement
    SELinux enforcement enabled by default for mandatory access control and security policy enforcement
    Cloud-Init Automation Integration
    Built-in cloud-init support for automated provisioning workflows and instance configuration during deployment
    ENA Networking Support
    Enhanced Networking Adapter (ENA) support optimized for AWS EC2 high-performance networking capabilities
    Automatic Security Updates at Boot
    System synchronizes with upstream repositories during first boot to install newest security updates and package revisions
    Forward-Looking Development Platform
    Continuously delivered Linux distribution that tracks development path leading to future Red Hat Enterprise Linux releases
    In-Place Linux Distribution Conversion
    Convert2RHEL tooling enables in-place conversion of instances running on rpm-based Linux distributions to Red Hat Enterprise Linux 7 while preserving existing customizations, configurations, and preferences.
    Extended Security Support
    Extended Life Cycle Support (ELS) provides access to security patches and updates until June 2029, extending support five years beyond the CentOS Linux 7 end-of-life date.
    High Availability Support
    High Availability tooling and capabilities included for configuring and managing highly available infrastructure and applications.
    System Observability and Management
    Red Hat Insights integration provides monitoring, analysis, and remediation capabilities for security, stability, and performance issues across workloads, applications, and platforms.
    Cross-Infrastructure Consistency
    Unified operating foundation supporting consistent management and deployment across physical, virtual, private cloud, public cloud, and edge environments using standardized tools.

    Contract

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    Standard contract
    No

    Customer reviews

    Ratings and reviews

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    4.2
    38 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    42%
    58%
    0%
    0%
    0%
    15 AWS reviews
    |
    23 external reviews
    External reviews are from G2  and PeerSpot .
    Evaristo Rivieccio

    Docker workflows have accelerated web deployments and testing but still need stronger security and monitoring

    Reviewed on Jul 01, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Docker on CentOS  is running containers for different application webs. For example, I run a Moodle  or different APIs and microservices that are developed in Docker on CentOS .

    Before Docker  was very complicated. Doing the testing with the developer, and with Docker  it is very fast to deploy the different changes.

    What is most valuable?

    I find working with APIs and microservices in Docker on CentOS to be very useful and very practical. Docker is fast, lightweight, and makes apps run the same everywhere without problems.

    On CentOS , Docker provides the same core features as other Linux systems, which is not very special, but I can run containers, manage images, store data, and deploy apps.

    I mainly rely on container images and volumes every day in Docker on CentOS, plus networking when apps need to connect. For example, volumes are essential when I need to keep data persistent, like databases or logs.

    Docker on CentOS has positively impacted my organization by helping us deploy faster, avoid environment problems, and make the system more reliable and easier to manage.

    With Docker deploying faster, we save approximately 30% of the time on production issues or in the pipelines, which are specific outcomes I have observed.

    What needs improvement?

    Docker on CentOS can be improved with better security, easier storage management, and smoother integration with CI/CD and orchestration tools.

    I think better monitoring, easier debugging, and more standard behavior across environments will make Docker on CentOS even better.

    Other improvements needed for Docker on CentOS include improving compatibility, security scanning, easier default setup, and clear enterprise documentation, for example.

    For how long have I used the solution?

    I have been using Docker on CentOS for about four 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 has super scalability with Kubernetes , but it also has scalability without Kubernetes .

    Which solution did I use previously and why did I switch?

    I previously tried containers on Ubuntu , but I quickly changed to Docker on CentOS.

    What was our ROI?

    I have only seen a return on investment in terms of time saved because I save my time, but in economic terms, no, because it was free.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing for Docker on CentOS is that it is free. The licensing is free, so it is very good.

    Which other solutions did I evaluate?

    Before choosing Docker on CentOS, I evaluated other options such as Docker on Ubuntu  or virtual machines.

    What other advice do I have?

    My advice for others looking into using Docker on CentOS is to start simple, use trusted images, which is very important, learn networking and volumes, and focus on security and monitoring. I would rate this product a 7.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Nouridine Boukari

    Containerization has accelerated medical data pipelines and supports secure orchestration

    Reviewed on Jun 29, 2026
    Review provided by PeerSpot

    What is our primary use case?

    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.

    What is most valuable?

    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.

    What needs improvement?

    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.

    For how long have I used the solution?

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

    What other advice do I have?

    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.

    Vinicius Canovas

    Container isolation has improved availability while resource tuning still needs attention

    Reviewed on Jun 27, 2026
    Review provided by PeerSpot

    What is our primary use case?

    I have been using Docker on CentOS  for five years.

    I do not have a main use case for Docker on CentOS , just support tickets regarding the application on Linux.

    An example of a support ticket I have handled involves pods that stop responding on an application and operational system impacted by Docker  uses regarding CPU or memory resources.

    Most of the time, I support Docker on CentOS, not the pods or applications that run inside these pods. I am responsible for the full high availability of servers that support or host Docker . Therefore, I have to ensure that everything is running fine and quickly on the host side.

    What is most valuable?

    The best features Docker on CentOS offers, from my perspective as someone responsible for high availability and server health, are the ability to work with containers and pods to run applications and set the best resources for the pods. I can isolate and ensure that everything is running as quickly and efficiently as possible.

    Docker on CentOS is the main available solution on the market and is highly used all over the world. It is especially great for hosting applications and also for maintaining and developing these applications in isolated environments. For example, everything that will run in a pod will be handled in any of these pods in the replication and creation of these pods in any of the environments, making the whole infrastructure not only more secure but providing indescribable high availability for applications and customers based on Docker appliances.

    Docker on CentOS has positively impacted my organization by helping to change and modify anything regarding applications that have to be available for the customer quickly, and it is also for those that have to be created in the fastest way. For example, Docker can create different specifications for different applications using only one host. It assures that we will not have high costs and will be great especially for the team responsible for the infrastructure as well as for the developers.

    What needs improvement?

    Docker on CentOS can be improved by ensuring that we are using the right image available around the world and choosing only the specific needs for applications, the right amount of CPUs and memory, and the isolation of the problems that we can have on production. We can use one host to have different scenarios in a fast and easier way than we would use in the old world or with on-premises virtual machines or physical hosts, which helps us to decrease the cost.

    For how long have I used the solution?

    I have been using Docker on CentOS for five years.

    What other advice do I have?

    I do not see any improvements needed for Docker on CentOS, aside from what I have already mentioned.

    My advice for others looking into using Docker on CentOS is to always use a Linux version that has a support team or a community who supports the version regarding the kernel and especially the CVE features regarding vulnerabilities.

    I do not have any additional thoughts about Docker on CentOS before we wrap up.

    I would rate this review a 7.

    AkshitGupta

    Containerization has streamlined deployment and management of web apps and AI workloads

    Reviewed on Jun 26, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Docker on CentOS  is deploying applications. A quick specific example of an application I have deployed using Docker on CentOS  includes web apps and LLMs. I chose Docker on CentOS for deploying WebEx and those other applications because it is easy to use, manage, and deploy.

    What is most valuable?

    The best features Docker on CentOS offers include ease of management and Docker  capabilities. Docker  images, Docker containers, and everything related to them help me significantly, and Docker's management on CentOS  stands out for its efficiency. Docker on CentOS has positively impacted my organization by making management easier. Management became easier because of integration with CI/CD, and I noticed both specific outcomes and metrics such as time saved and fewer errors.

    What needs improvement?

    Docker on CentOS is good, so there are no significant improvements needed.

    For how long have I used the solution?

    I have been using Docker on CentOS for more than three 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?

    Its scalability is good.

    How are customer service and support?

    I have never used customer support.

    Which solution did I use previously and why did I switch?

    I used Docker majorly on RHEL  before and then moved to CentOS .

    What other advice do I have?

    The advice I would give to others looking into using Docker on CentOS is that it is a good tool with a lot of open-source support available. Regarding Docker on CentOS's AI capabilities, I think its governance and security are an open debate, and enterprises have their own doubts. I have not used its AI capabilities extensively, so I cannot comment on its accuracy and reliability of output. Docker on CentOS is performing well, and I would rate this review an 8.

    VijaySoundaram

    Containerization has streamlined microservices delivery and ensures consistent hybrid deployments

    Reviewed on Jun 23, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I have been working as a senior middleware engineer and DevOps engineer for the last 17 years, where I have used Docker on CentOS  in various multi-level, multi-cloud platforms like AWS  and Azure , and for Fortune 500 companies such as Charter, Mastercard, Cardinal Health, and Dell. Currently, I'm involved in the containerization of Spring  3.x, Java-based applications, and building microservices for distributed applications using Docker on CentOS . The containerization we are doing was initially using ECR, which has now migrated to EKS, and I am creating the CI/CD pipeline with GitLab , Docker  builds and Argo CD deployments. Our architecture includes an 80-plus pods cluster, scaling from 2 to 85, with a target of zero downtime and 140 TPS. Docker on CentOS, being lightweight and stable, integrates well with the Linux kernel, providing minimum overhead and cost efficiency, which is crucial for resource-constrained environments.

    What is most valuable?

    The capabilities of Docker on CentOS that I have found the most valuable include its use for Spring-based applications, which significantly enhance the value I derive from it. Docker on CentOS is particularly effective for building distributed applications and microservices. Deployments are smooth and easy, and the integration with Kubernetes  is seamless. I have successfully managed 80-plus pods clusters, scaling from 80 to 85 with 140 TPS without encountering any issues. Docker on CentOS's lightweight nature allows for flawless development across environments such as dev, stage, and prod.

    From my perspective, the experience with the deployment of Docker on CentOS is quite positive, especially for the CI/CD pipeline. The architecture overview includes the use of a Git  repository and GitLab  CI, which facilitates the Docker  build for our Spring  3.x Java applications.

    What needs improvement?

    I have faced challenges with the end-of-life cycle of CentOS  since 2021-2022, security updates, network complexity with multi-node DNS issues, storage persistence pain points with EBS and EFS, and resource management before the Kubernetes  abstraction.

    For how long have I used the solution?

    I have been working with Docker on CentOS for a very long time, starting with Docker Swarm and Docker, specifically for this current project itself.

    What do I think about the stability of the solution?

    While the end-of-life for CentOS  was noted, the overall persistence and network performance, including firewall functionality, were commendable. Earlier issues with out-of-memory crashes were resolved with proper sizing adjustments, and overall, I experienced no conflicts during updates, maintaining the 140 TPS targets effectively.

    What do I think about the scalability of the solution?

    Regarding the scalability of Docker on CentOS, I initially built the Docker containers and moved them to Kubernetes, where my scaling efforts were focused.

    Once Docker on CentOS is dockerized and deployed in Kubernetes, it scales effectively by meeting the target of 140 TPS with an SLA of one second for three REST endpoints.

    How are customer service and support?

    I do not often communicate with the technical support of Docker on CentOS, as I haven't found the need; the documentation has been sufficient.

    The documentation for Docker on CentOS is excellent; I find answers to my questions regarding the Docker daemon and network configuration issues quickly and efficiently. The information available for storage and security has been helpful, despite some challenges in those areas along with conducting DR exercises.

    How was the initial setup?

    The steps I needed to take when setting the solution up involved starting with dockerizing the application on CentOS, primarily with versions 7/8. I pulled the Docker image after setting up CentOS and created user groups to prevent overwriting. Using the daemon setup, I configured the firewall and created the Docker file. My workflow continued with using Maven version 3.8 and integrating it with Eclipse to enhance several endpoints. This included updating PL/SQL procedures and aiming for an SLA of less than one second, with a multi-stage deployment reflecting the expanding functionality of our application.

    From my perspective, the experience with the deployment of Docker on CentOS is quite positive, especially for the CI/CD pipeline. The installation is straightforward with easy updates and configurations, including starting Docker groups and handling the daemon without challenges. I utilized a JSON-based setup, firewall setups were simple, and the multi-stage deployments were effective. My integration efforts with Maven and Eclipse were also seamless, leading to a flawless push to ECR.

    What other advice do I have?

    Docker on CentOS is utilized in a hybrid setup within my organization; starting on-premises with CentOS, our architecture evolved to the cloud. I began with building everything locally, then transitioned to development environments, eventually versioning the applications and pushing to ECR, allowing flexibility whether on local or cloud resources.

    In terms of reliability and stability, I find Docker on CentOS to be dependable, with good kernel support and daemon stability. I would rate this solution an 8 out of 10.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

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