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    Docker on Oracle Linux 10 Hardened

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    Deployed on AWS
    AWS Free Tier
    This is a repackaged software product wherein additional charges apply for a pre-hardened, SI Core STIG Hardened image and seller support. Docker on Oracle Linux 10 provides an optimized environment that streamlines container management and deployment, ensuring high performance and security. Leveraging the advanced capabilities of Oracle Linux 10, this AMI enhances the Docker experience with improved stability and support for enterprise applications. With Docker on Oracle Linux 10, developers can easily create, deploy, and manage applications in secure, isolated containers, boosting productivity and reducing operational overhead. Ideal for scalable microservices architectures, Docker on Oracle Linux 10 is the perfect solution for modern cloud-native application development.
    4.2

    Overview

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    Docker on Oracle Linux 10 provides a powerful and flexible platform for deploying containerized applications in the cloud. This Amazon Machine Image (AMI) comes preconfigured with Docker, allowing users to leverage the efficiency and portability of containers right out of the box.

    With Docker on Oracle Linux 10, you can easily manage and orchestrate applications using Docker containers, making it ideal for microservices architectures and simplifying application deployment processes. The seamless integration with Oracle Linux ensures optimal performance and stability tailored for enterprise-grade solutions.

    Key features of Docker on Oracle Linux 10 include:

    • Preconfigured Environment: Start deploying your containers immediately with Docker installed and configured, saving time on setup and configuration.
    • Oracle Linux Support: Benefit from Oracle's enterprise-level support and resources, ensuring your container environment is robust and reliable.
    • Performance Optimization: Docker on Oracle Linux 10 is optimized for performance, allowing for efficient resource utilization and rapid scaling of applications to meet demand.
    • Security Features: Leverage advanced security features inherent in Oracle Linux, enhancing the protection of your containerized applications.
    • Easy Integration with Cloud Services: Quickly integrate Docker on Oracle Linux 10 with other AWS services, enabling a streamlined workflow for development, testing, and production environments.

    Use cases for Docker on Oracle Linux 10 are extensive. Whether you are developing applications, managing microservices, or conducting software testing, this AMI provides the necessary tools to streamline your workflows. By deploying Docker on Oracle Linux 10, organizations can ensure fast and reliable application deployment along with the flexibility to adjust to changing needs.

    In summary, Docker on Oracle Linux 10 offers a robust solution for organizations looking to maximize their cloud investments while enhancing application delivery through containerization. Experience the advantages of Docker on Oracle Linux 10 and transform your application infrastructure today.

    Hardening and Support

    This is a repackaged software product wherein additional charges apply for a pre-hardened, Supported Images Core STIG Hardened image and seller support. Additional detailed information on our hardening process can be found in the Core STIG Hardening for Linux Guide  or the Core STIG Hardening for Windows Guide 

    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 Hardened

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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 (991)

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    • ...
    Dimension
    Cost/hour
    t3a.micro
    Recommended
    $0.07
    t2.micro
    $0.21
    t3.micro
    $0.07
    c1.medium
    $0.14
    c1.xlarge
    $0.28
    c3.2xlarge
    $0.56
    c3.4xlarge
    $1.12
    c3.8xlarge
    $2.24
    c3.large
    $0.14
    c3.xlarge
    $0.28

    AI Insights

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    Dimensions summary

    You pay by the hour for this hardened Docker image running on Oracle Linux 10. Pricing is not a set of tiers or plans. Instead, each rate maps to the AWS EC2 instance type you choose to run it on. Options span many families, from small general-purpose instances to large compute, memory, storage, GPU, and high-performance types. Larger instances with more CPU, memory, or specialized hardware carry higher hourly rates. You select the instance size that fits your workload, and the software charge follows that choice. Billing stops when you stop the instance.

    Top-of-mind questions for buyers

    One unit is one running EC2 instance-hour for the instance type you select. Each active instance accrues one software charge per hour, tracked separately. Larger instance types carry higher hourly rates, so your unit cost follows the size and family you choose to run the image on.
    The software charge meters running time only. When you stop the instance, the hourly software charge stops too. Stopped instances may still incur separate AWS storage fees for attached volumes, but those are AWS infrastructure costs, not the software license charge for this image.
    This is usage-based, pay-as-you-go billing. You pay per instance-hour with no upfront commitment or fixed term. Charges begin when an instance runs and stop when it stops. This suits variable or short-lived workloads, since you pay only for the hours each instance is active.
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    The instance can be terminated at anytime to stop incurring charges

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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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    Overview

     Info
    AI generated from product descriptions
    Container Runtime Environment
    Docker preconfigured and installed on Oracle Linux 10 operating system for immediate container deployment without additional setup
    Security Hardening
    Core STIG hardened image with advanced security features inherent in Oracle Linux for enhanced protection of containerized applications
    Performance Optimization
    Optimized resource utilization and rapid application scaling capabilities tailored for efficient container management and orchestration
    Enterprise Support Integration
    Oracle Linux enterprise-level support and resources with compatibility for enterprise-grade applications and CI/CD pipeline integration
    Microservices Architecture Support
    Platform designed for microservices architectures enabling isolated container environments for testing and production deployment
    SELinux Enforcement
    SELinux enforcement enabled by default for mandatory access control and security policy enforcement
    Cloud-Init Integration
    Built-in cloud-init automation support for automated provisioning workflows and instance configuration during deployment
    ENA Networking Support
    ENA (Elastic Network Adapter) networking enabled for optimized network performance on AWS EC2 instances
    Automated Security Updates
    System synchronizes with upstream repositories at first boot to install newest security updates and package revisions
    SSH Public Key Authentication
    SSH public key authentication configured with ec2-user login and root login disabled by default
    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.

    Contract

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    Standard contract
    No

    Customer reviews

    Ratings and reviews

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    4.2
    48 ratings
    5 star
    4 star
    3 star
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    1 star
    46%
    54%
    0%
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    17 AWS reviews
    |
    31 external reviews
    External reviews are from G2  and PeerSpot .
    Thorsten Foltz

    Containerization has accelerated testing workflows and keeps environments consistent across systems

    Reviewed on Oct 11, 2026
    Review provided by PeerSpot

    What is our primary use case?

    I use Docker on CentOS or on other Linux systems in my work, particularly for trying out new tools and for testing. It often makes sense there, and then of course also in production environments where certain settings and services should always have exactly the same state.

    Docker on CentOS was made for that purpose, so that we don't keep running into the dependency problem that everyone knows: it works on my system, but not on the other one. Docker on CentOS is basically there exactly for that.

    I do not have anything else to add about my use cases. Docker on CentOS itself is an excellent tool, without question. There are alternatives you can also try out, but I think as of today Docker on CentOS is probably still the most widely used container environment.

    How has it helped my organization?

    Docker on CentOS has had a positive impact on my company and my way of working because I can virtualize quickly, without carrying around all the overhead of having to check what's currently allowed, what isn't, which user can do what, or starting entire virtual machines.

    Instead, I can very quickly spin up a container, see what happens, test it, shut it down, change it, and spin it up again. That's really it—the development speed is naturally fast.

    When I compare it to earlier times, when everyone was working in their own virtual environment and then seeing what happens, Docker on CentOS moves more in the direction of software development. Docker on CentOS also offers an advantage here, especially when it's cross-system—when we leave the Linux world and move to other systems, it's very helpful.

    I cannot really provide concrete improvements in speed or efficiency using figures or examples because it depends on what the other prerequisites are, specifically which system Docker on CentOS is running on. When I pull an image, meaning when I download it from the internet, is it already cached? If it isn't cached, what bandwidth do I have?

    In a cloud environment, for example, the bandwidth is usually always good, but the underlying hardware might be good or might not be good.

    Locally, I work with a powerful system and I also have good bandwidth here, so in that case a single container is sometimes faster. Additionally, when I'm developing, I'm developing on a pure Linux system, which is a bit different than if I were doing it on a Windows or Mac system, where a Linux kernel or Linux virtualization runs in the background anyway just to run this Docker on CentOS container at all.

    What is most valuable?

    In my view, the best features that Docker on CentOS offers are not focused on any specific function, but rather on the fact that I can put individual small work instructions in there without accessing the main system directly.

    Even if it's not fully virtualized, a part of it is virtualized that I can simply run in this environment and precisely determine what is actually allowed there.

    Often, even if it's only for a single task, I can use this container. That's really the big strength—it's very flexible, and I can use it for the smallest activities up to somewhat larger tasks and can also combine containers, but now we're getting into Docker Compose, which is another topic.

    The function or feature of Docker on CentOS that I use the most in my daily work does not involve a specific one; it really always depends on what exactly is required at the moment. In the data engineering field, it's often the case that I need a certain base to be available, I might need a few specific drivers installed, or I might just need to run Docker on CentOS normally in a CI/CD pipeline, where it is always run.

    There isn't this one special feature; instead, it's always these small parts that I outsource precisely there.

    I do not have any spontaneous additions about the features or strengths of Docker on CentOS right now. For me, the big advantage is simply these small things and that I can do them quickly, above all.

    Spinning up a Docker on CentOS container compared to a virtual machine is just significantly faster. I can set something up with a single command in the CLI and it's just there immediately.

    What needs improvement?

    In my opinion, Docker on CentOS could be improved in several ways, but that's a good question—am I missing anything?

    Not really. When I think about it, it fulfills its purpose and does what it's supposed to do.

    I could still add a few thoughts about possible improvements, perhaps with regard to specific use cases or wishes for the future.

    Docker on CentOS in the network is perhaps one such thing, although Kubernetes actually solves that problem too—whether it solves it well is another question, but it does solve it. Whether Docker Swarm was really the best choice for smaller things, I don't know. I also don't need to have all my Docker on CentOS containers running in the network and with each other in the network that often. These are usually more individual applications.

    I'd really have to think hard about what else I'd wish for there, but I don't really know.

    For how long have I used the solution?

    I use Docker on CentOS not continuously but every now and then, and not necessarily always on CentOS. I mainly use Docker on CentOS itself, running on various Linux systems.

    What do I think about the stability of the solution?

    Docker on CentOS is stable in my use. Docker on CentOS itself causes few problems; it's basically mature in my opinion. Sure, something can go wrong sometimes, but overall it's very reliable.

    What do I think about the scalability of the solution?

    I rate the scalability of Docker on CentOS as very good, especially when I scale it out laterally. Scaling up vertically on a machine is relatively easy; I can ultimately run as many containers as my hardware allows. I can also scale it horizontally; in smaller environments, Swarm already works quite well, and in larger environments Kubernetes is then used.

    How are customer service and support?

    I cannot judge the customer support of Docker on CentOS; I've never used it.

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

    Before Docker on CentOS, I did not use another solution. Actually, when Docker really came out, I started using Docker on CentOS right away. Whether Docker on CentOS was the very first, I think so, but I'm not sure. Before that there was, of course, general virtualization or software like Vagrant that I could use to try things out—that all worked too.

    Docker on CentOS makes things easier later on, especially in production.

    I'd rather say they were the first, and today you see that there are alternatives, in my opinion mainly due to licensing. Docker on CentOS is a tool that's very helpful, is used a lot, and the people who really use it are basically all techies.

    That means you can expect these people to be able to work with tools in the open-source space and not necessarily need a vendor who requires some kind of financial compensation.

    What was our ROI?

    I have seen a return on investment, though I cannot provide relevant metrics or examples such as reduced staffing needs, cost savings, or time savings in a broader context. It's not just related to Docker on CentOS alone, but rather more to Kubernetes as well and how I use certain tools.

    Docker on CentOS itself plays a smaller role here. It's more about the fact that I can use open-source tools compared to paid solutions, which indeed take a lot of work off your hands on one side, but also cost money.

    If you know what you're doing and are willing to employ and pay the right staff, you can potentially save a good amount of money. It always depends a bit on the case and when you use these tools.

    Open source is, of course, very cost-efficient, but you shouldn't forget that it isn't free; you still need people who can operate and use it.

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

    My experience with pricing, setup costs, and licensing for Docker on CentOS has been that since I normally use Docker on CentOS on Linux via the CLI and not Docker Desktop, this question about price doesn't really arise to a major extent. For companies that use it, where I'd also have to take a closer look, Docker Desktop plays a role. That really isn't the main point here. Especially when costs do arise, people quickly switch to alternatives like Podman to avoid exactly that. Setup costs are always there of course; someone has to set it up, and someone has to maintain it.

    It's naturally convenient if you can use certain service functions, but in the big picture it ultimately still comes down to a human—and in the future perhaps to AI—to set this up.

    For that I obviously have to pay. Whether I pay the AI provider or ultimately the employee, the consultant, or whoever, to set up, run, and of course maintain my system.

    Which other solutions did I evaluate?

    I did not evaluate other options before deciding on Docker on CentOS. Docker on CentOS itself is used everywhere and always, and I'd say CentOS is great. However, CentOS now has the disadvantage that it's no longer supported to the same extent; instead, people are switching more to AlmaLinux, or in other areas Ubuntu or Debian are used, or nowadays simply the individual Linux systems of the cloud providers. I wouldn't cling too much to CentOS.

    What other advice do I have?

    I rate Docker on CentOS overall a 9 on a scale of 1 to 10.

    I am giving it a 9 because, as I said, it solves almost everything. Docker on CentOS is an excellent tool, and I really enjoy using it. It will probably never be perfect, so no 10.

    In my view, the governance and security of Docker on CentOS in connection with AI applications are significant. Honestly, I've never used AI with CentOS and Docker on CentOS. Docker on CentOS itself and, of course, AI that spins up Docker on CentOS containers on my Linux system again and again—it works excellently.

    As for how secure it is, you always have to make sure you secure the system as much as possible. That means checking what I allow my system to do and not just letting it run wild, because AI, even today, might sometimes grab things it shouldn't grab.

    I cannot rate the accuracy and reliability of the results of Docker on CentOS in the AI area or in general for my use cases by pointing to specific examples, as I don't know Docker on CentOS used in the AI area; I've never really had that combination.

    In general, I can say Docker on CentOS and AI work excellently together because exactly the same thing happens again: AI runs iteratively. It also has to test and try things out, and there as much as anywhere else, it makes sense to work virtualized and not directly on the system. For virtualization, Docker on CentOS is again the obvious choice because it's small and fast. The combination makes sense in my opinion and is ultimately also used.

    Docker on CentOS is deployed in my company in various ways. For example, I'd say we're a consulting company, which means we've probably already had all possible scenarios somewhere, and Docker on CentOS is simply part of everyday life, no matter where.

    I wouldn't say there's a particular cloud provider that I prefer or frequently use for Docker on CentOS. Of course, the three big ones—AWS, Azure, and GCP—all offer it. There are also smaller, especially European providers. I wouldn't really say that we particularly prefer one or that I personally prefer one; instead, what matters is what the customer already has and what makes sense overall.

    If a customer or someone were to ask me which one they should use if they don't have anything in use yet, I would base that on additional criteria. I would never choose a specific cloud just because I prefer the Docker on CentOS system there the best. There's much more to it than that.

    My advice to others who want to use Docker on CentOS is to learn Docker on CentOS, try it out, and try to go into depth as early as possible. That means I've set up a container and you'll normally notice pretty quickly that the container is running as root, which is dangerous, and secondly that an image is very large.

    The root problem is easy to solve. Making the image smaller then already requires a trick or two. I would say spend time with it, because if you learn Docker on CentOS well, you also learn something about Linux systems to some extent. It's fun, but in my opinion you should really do it via the command line and less via graphical tools.

    Graphical tools are nice later to keep a certain overview, but building containers, setting them up, operating them, and learning how they work—that should all be done via the command line.

    reviewer2908689

    Containerization has standardized our deployments and simplifies secure multi‑platform delivery

    Reviewed on Oct 09, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Docker on CentOS is creating Dockerfiles and deploying them with GitLab pipeline, so my major use case is basically to deploy everything from code and make it containerized. That is my main objective on all platforms, and that is why I am using Docker on CentOS.

    Using Docker on CentOS with my GitLab pipeline helps my team by addressing the challenge of code not working on multiple platforms, and Docker on CentOS has basically helped us to work on multiple platforms with the same code. Integration with the GitLab pipeline is also very easy, and that is how it works and solved our challenges.

    I have nothing else to add about my main use case or how Docker on CentOS fits into my workflow, as this is the main use case for which we have used this.

    How has it helped my organization?

    Docker on CentOS has positively impacted my organization because there are a lot of security features we need to cater to, and we need to make our application more secure in ways that security features will work on multiple platforms. Although I don't have specific metrics right now, when making a container and images of any file, we need to think about how to secure whatever we are keeping inside those images, and it always keeps us secure, which is the basic and major outcome we want with using Docker on CentOS.

    Docker on CentOS has helped me address security concerns by allowing setup of AppArmor integration very easily, especially because CentOS commonly uses FirewallD. We also integrate our own security tool like Wazuh, which is open-source, and when we integrated all those security features, it works great.

    What is most valuable?

    The best feature that Docker on CentOS offers in my experience is that the main containerization of the applications can be done with just one file. That is the best feature.

    The simplicity of using just one file for containerization impacts my daily work and my team's productivity by increasing productivity because all the environments are getting deployed in one go with this one container Dockerfile. That is how it increased productivity, as otherwise, we would need to write several files for deploying in multiple platforms or multiple environments, and that is how it is giving us a better, useful case to implement.

    I would like to add that Docker on CentOS supports bridge networks and port mapping, and the NAT functionality is also working very well. From a security point of view, since CentOS commonly uses FirewallD, these rules can interact with Docker's networking rules, and that is how it helps us in that case.

    What needs improvement?

    Docker on CentOS can be improved by implementing a few security measures to not expose our keys and secrets in a better manner. If we are using Docker Compose or anything else, our security should not get hampered, and that is the only improvement I think is needed. Other than that, it is good.

    In terms of needed improvements around secrets management, I think nowadays AI has come into play, and AI integration is also on my mind. Keeping security as a major concern with AI, we need to think more about how to integrate AI while preserving our secrets and ensuring that they are not exposed to the world, so that hackers or attackers cannot use those secrets when accessing our containers or attempting to hack our images. That is the area where we can think more and where we could improve.

    I chose eight out of ten because only security, secret management, and AI integration are the points for which I just cut two points. That is the only thing that kept it from being a ten for me.

    I believe we have covered most of the improvements needed for Docker on CentOS, and I do not think there are any others to add.

    For how long have I used the solution?

    I have been using Docker on CentOS for six to seven years.

    What do I think about the scalability of the solution?

    While Docker on CentOS does not directly address scalability, it helps from a manageability point of view, as all our code is managed by this. That is how it has helped us, not in terms of scalability perspective.

    How are customer service and support?

    The documentation and community support for Docker on CentOS are helpful, as I have found it beneficial.

    How was the initial setup?

    The integration process of Docker on CentOS with my existing tools and systems is easy, as we are using Kubernetes and a monitoring tool like Grafana, along with GitLab. The integration of Docker on CentOS is very easy, especially when we started with the integration process.

    What other advice do I have?

    I rate Docker on CentOS an eight out of ten.

    Regarding Docker on CentOS's AI capabilities, as far as security and governance are concerned, Docker on CentOS is doing its part. However, as a company, we need to secure our applications when using images built on Docker on CentOS, and most major security responsibilities we are keeping on our side, not relying too much on Docker on CentOS's governance and security. That is why I would say it is good, but from a security point of view, we are keeping 100% ownership on our company side, not on Docker on CentOS side.

    When it comes to Docker on CentOS's AI capabilities, I think its accuracy and reliability of output are good, as its accuracy and reliability totally depend on the prompts we provide. Therefore, the more information we give to the AI, the more accurate and closer to our needs the answers will be.

    Docker on CentOS is deployed in my organization using both public and private clouds, as we are basically hybrid.

    We are using Hetzner and AWS as our cloud providers.

    I purchased Docker on CentOS through the AWS Marketplace.

    Docker on CentOS handles updates and maintenance in my organization straightforwardly. We have Renovate looking for all available updates, and when it finds any, it automatically updates everything on our GitLab by raising a merge request for us. We then know about available updates, and once we merge those requests, everything gets updated by default, making it an automated process without any challenges so far.

    The learning curve for new users adopting Docker on CentOS in my organization is smooth, as new users easily adapt to it. Whenever someone new joins, we provide knowledge transfer for two weeks, covering everything about the tools we use, including Docker on CentOS, and that is good.

    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?

    Amazon Web Services (AWS)
    reviewer2901054

    Simple containers have streamlined home server backups and kept app deployments consistent

    Reviewed on Sep 20, 2026
    Review provided by PeerSpot

    What is our primary use case?

    I mainly use Docker on CentOS on my NAS, and on my NAS I use it to deploy several different applications, such as monitoring how my NAS is running, handling downloads, and monitoring my NAS.

    How has it helped my organization?

    Docker on CentOS has had a positive impact on my organization by making it possible to save time and improve security. I can back up all the data quite easily and redeploy it on another machine or on the same machine in case of a crash.

    Let's say it hasn't yet happened that I needed to restore the data, but in any case, I've done the backups, and so if it ever had to happen, I would be ready.

    What is most valuable?

    The best features offered by Docker on CentOS are that it's rather easy to set up. Docker is quite easy to set up, pretty simple to restart, and when I need to create new use cases, it's pretty simple to set up, stop, restart, and update.

    Among all these features, the fact that I can set it up easily seems the most valuable in my daily work. For example, with simple YAML code, it's pretty easy to do, rather quick, and rather secure.

    What needs improvement?

    I don't know how Docker on CentOS could be improved at this point. I think it's already very good as it is, and they should just continue along the same path. I don't see any areas for improvement.

    For how long have I used the solution?

    I've been using this solution for about three years.

    What do I think about the stability of the solution?

    Docker on CentOS is very stable in my daily use.

    What do I think about the scalability of the solution?

    The scalability of Docker on CentOS is good.

    How are customer service and support?

    I haven't had to contact customer support for Docker on CentOS so far.

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

    I was not using another solution before.

    How was the initial setup?

    Docker on CentOS is deployed in my organization locally, on-premises.

    What was our ROI?

    I have not observed a return on investment in terms of time or money saved, or other measurable benefits from this tool.

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

    Since I use Docker on CentOS locally, it's free, so there's no cost issue regarding price, installation costs, and license management.

    Which other solutions did I evaluate?

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

    What other advice do I have?

    My advice to other people who are considering using Docker on CentOS is that it's a very good solution. I would rate this product nine out of ten.

    George Muddu

    Microservices with containers have streamlined call routing and cut incident rates dramatically

    Reviewed on Jul 23, 2026
    Review provided by PeerSpot

    What is our primary use case?

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

    What is most valuable?

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

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

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

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

    What needs improvement?

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

    For how long have I used the solution?

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

    What do I think about the stability of the solution?

    Docker on CentOS is very much stable.

    What do I think about the scalability of the solution?

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

    How are customer service and support?

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

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

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

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

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

    Which other solutions did I evaluate?

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

    What other advice do I have?

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

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

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

    I rate Docker on CentOS an eight out of ten.

    reviewer2875365

    Container management has simplified cleanup and supports reliable, connected workloads

    Reviewed on Jul 20, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Docker on CentOS involves various workloads that are all interconnected on ECS and they were initially running on Docker. All of them are running on Docker as a matter of fact, but they were initially running on CentOS.

    A quick specific example of one of those workloads, or how I'm using Docker on CentOS in my environment, is that it is no longer the case as we moved to Alpine on ECS, but historically it has been running on EC2 instances and Docker was running the various workloads containers for our application on the box itself.

    What is most valuable?

    The best features Docker on CentOS offers include cleanup and management of the containers.

    When I mention cleanup and management, what specifically stands out for me is the ease of removing unused containers or any dangling resources such as the volume that is created with it or even the network adapters or even logs.

    Docker on CentOS has positively impacted my organization as it has been serving us very well until we reduced our footprint on the container side moving to Alpine, but meanwhile, it has been serving us well. It has been serving us in terms of stability and reliability. The service is easy to start, stop, and work with.

    What needs improvement?

    Docker on CentOS can be improved, but that is a very tough and tricky question. There is not much I could add to whatever is provided as it is a Linux service embedded within CentOS or the operating system. The log cleanup with Docker containers could be a little bit improved. However, that is only my humble opinion, so I would not recommend anything specific.

    For how long have I used the solution?

    I have been using Docker on CentOS for four years.

    What other advice do I have?

    My advice to others looking into using Docker on CentOS is to do it. It is a good product. I would rate Docker on CentOS a nine out of ten.

    I gave it a nine out of ten because no one is perfect.

    Regarding Docker on CentOS's AI capabilities, it looks pretty much equal to the other operating systems that are running Docker. I do not have much experience on that side which would differ from the other operating systems, but I will presume it is in fact well guarded. I have not played with its accuracy and reliability of output.

    My overall review rating for Docker on CentOS is nine out of ten.

    Which deployment model are you using for this solution?

    Private Cloud

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

    Amazon Web Services (AWS)
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