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    Docker on Ubuntu 26 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 Ubuntu 26 is designed to provide seamless container deployment and management in a secure environment. This AMI offers an optimized installation of Docker, ensuring compatibility with the latest features while maintaining high performance. With Docker on Ubuntu 26, developers can easily scale applications and manage microservices, enhancing development workflows. Ideal for DevOps teams and enterprise environments, this solution simplifies the transition to containerization, facilitating faster application delivery. Harness the power of Docker on Ubuntu 26 to streamline your infrastructure and improve resource utilization.
    4.5

    Overview

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    Experience the power of Docker on Ubuntu 26, designed for developers and IT professionals looking to streamline application deployment and management. This Amazon Machine Image (AMI) provides a robust and scalable environment with Ubuntu 26 as its base, tailored for containerization using Docker.

    Key Features:

    • Preconfigured Docker Environment: Docker on Ubuntu 26 comes fully equipped with the latest stable version of Docker, allowing you to immediately start managing your containers without complex setup.
    • Optimized Performance: Built on Ubuntu 26, this AMI benefits from enhanced performance features and security, ensuring your containerized applications run efficiently and reliably.
    • Seamless Integration: Docker on Ubuntu 26 integrates effortlessly with various AWS services, providing easy access to features such as EBS for storage and IAM for security.

    Benefits:

    • Rapid Deployment: Get up and running in minutes with Docker on Ubuntu 26. This AMI is optimized for fast launch times and easy scaling, so you can focus on your applications rather than infrastructure.
    • Enhanced Security: Benefit from the latest security updates bundled in Ubuntu 26, combined with Docker's container isolation, providing an added layer of protection for your applications.
    • Cost-Effective: Use Docker on Ubuntu 26 to reduce overhead, as it enables more efficient use of resources by allowing multiple applications to run on a single server instance.

    Use Cases:

    • Microservices Architecture: Implement microservices effectively using Docker on Ubuntu 26, facilitating easy updates and scalability for individual services.
    • Development and Testing: Create consistent development environments using Docker on Ubuntu 26, helping teams avoid "it works on my machine" issues.
    • CI/CD Pipelines: Integrate Docker on Ubuntu 26 into your CI/CD pipelines, automating the build, test, and deployment process for rapid delivery of applications.

    Transform your cloud experience with Docker on Ubuntu 26 and leverage the benefits of containerization in a secure, efficient, and scalable environment.

    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 Ubuntu 26 offers a streamlined containerization platform designed for developers and organizations seeking scalability and efficiency. By leveraging the latest features of Ubuntu, users can deploy, manage, and orchestrate containerized applications seamlessly. The integration ensures optimal performance while maintaining compatibility with a vast array of applications and services, making it an excellent choice for modern cloud workloads.
    • This AMI provides a ready-to-use environment with Docker pre-installed, eliminating setup time and allowing teams to focus on building and deploying applications. The package includes comprehensive CLI tools, access to Docker Hub, and extensive documentation for quick onboarding. Businesses can benefit from faster deployment cycles, reduced resource costs, and improved application reliability.
    • Potential use cases for Docker on Ubuntu 26 range from microservices architecture to continuous integration/continuous deployment (CI/CD) pipelines. Organizations can develop and test applications in isolated environments before production deployment, ensuring scalability and failover strategies are in place. By embracing Docker containers, teams can achieve a modular approach to application development while benefiting from the robust security features inherent in Ubuntu.

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 26.04 LTS

    Deployed on AWS
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    Pricing

    Docker on Ubuntu 26 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
    t2.2xlarge
    Recommended
    $0.56
    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 each running instance of this Docker on Ubuntu 26 Hardened image. There are no upfront fees or term commitments. Pricing is not one flat rate. Instead, each rate is tied to the specific EC2 instance type you launch. The listing covers hundreds of instance types across general purpose, compute, memory, storage, GPU, and high-performance families, in sizes from small shared instances up to bare-metal machines. Your hourly cost scales with the size and capability of the instance you choose. You add AWS infrastructure charges separately, and stop billing when you stop the instance.

    Top-of-mind questions for buyers

    Each hourly charge covers one running EC2 instance of the image. An instance is a virtual machine sized by its instance type. Bare-metal types (marked 'metal') give you a dedicated physical server. Each launched instance meters separately, so running two instances bills two hourly rates.
    The hourly software rate meters only running time. When you stop an instance, the software charge stops too. Stopped instances may still incur AWS storage fees for attached volumes, but those are separate AWS infrastructure charges, not the image's hourly software rate.
    Yes. Each instance type carries its own hourly rate. Moving to a bigger or more capable type raises the hourly rate for that instance. The change applies to the new instance you launch, not retroactively to hours already run on the previous type.
    supportedimages.com
    Helpful?

    Vendor refund policy

    The instance can be terminated at anytime to stop incurring charges

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    Legal

    Vendor terms and conditions

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    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 updates

    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 'ubuntu'.

    OS commands via SSH: SSH as user 'ubuntu' 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.

    Product comparison

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    Accolades

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    Customer reviews

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    Overview

     Info
    AI generated from product descriptions
    Pre-installed Container Runtime
    Latest stable version of Docker pre-configured and ready for immediate use without complex setup requirements
    Operating System Base
    Ubuntu 26 as the base operating system with enhanced performance features and latest security updates
    AWS Service Integration
    Seamless integration with AWS services including EBS for storage and IAM for security management
    Container Isolation
    Docker container isolation providing application-level security and resource separation for running multiple applications on a single instance
    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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    4.5
    19 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    69%
    26%
    5%
    0%
    0%
    1 AWS reviews
    |
    18 external reviews
    External reviews are from G2  and PeerSpot .
    Vikash Kushwaha

    Containerized workflows have simplified deployments and are saving significant development time

    Reviewed on Sep 15, 2026
    Review provided by PeerSpot

    What is our primary use case?

    For deploying projects, I can deploy multiple projects on Docker Hub which runs on Ubuntu machines or Linux servers. I can create images of Postgres database, Node.js projects, or Java projects, and deploy them directly from Docker via Docker YML file.

    What is most valuable?

    Docker provides comprehensive support for any deployment process, maintenance, or surveillance of any kind of project because it offers CLI and APIs, Docker Hub, and Docker Desktop client. I upload my project and create an image, then I can directly deploy this image. It provides a full environment for a machine to deploy any kind of service, whether Java or Node.js projects. Surveillance is very easy through viewing logs, threads, and the running status and health of my service or project. The entire procedure is time-saving and seamless.

    Docker provides multiple kinds of support with well-detailed documentation and support available on Stack Overflow and Google. The support is seamless. If I am using Docker, I do not require any kind of support calls because all features and issues are publicly available on the internet. This provides a lot of resources to use and understand the service very well.

    What needs improvement?

    Connecting two containers to each other is very tricky and time-consuming for me as a developer. Docker provides some encapsulation between containers, meaning they are separated from each other, and I cannot directly connect two containers. Docker should provide AI support that is much better. I could directly command the service and any kind of process would be created. Docker should provide AI features for the deployment processes because I have to use commands repeatedly. I have to write multiple commands or remember multiple commands for the deployment process, but many manual things are required. If I use Docker on a machine, and I have installed Docker as a UI-based Docker, it should provide a chatbot or AI terminal feature. I could chat with AI and it should do the whole process, automating the procedure. I would not have to enter multiple commands to bring my service up, which would save significant time. Regarding logs, if I encounter a failure or attack, I have to debug manually on the terminal, filtering through multiple logs repeatedly. Docker should provide an AI service so I can directly pull the logs and find the time frame, which would save time and allow me to respond as soon as possible.

    For how long have I used the solution?

    I have used Docker on Ubuntu 20.04 LTS for around two years, including my internship.

    What do I think about the stability of the solution?

    Docker is very stable and scalable. I understand it supports 99.9% uptime, which is impressive. I have never had an incident where Docker has crashed.

    What do I think about the scalability of the solution?

    Docker on Ubuntu 20.04 LTS is very scalable. It supports all kinds of services and all kinds of service providers.

    How was the initial setup?

    The setup is very straightforward. I only have to run three commands and Docker is installed directly via terminal.

    What was our ROI?

    Docker on Ubuntu 20.04 LTS provides absolute value for money. It saves a lot of time for a DevOps engineer and a simple developer. If a CI/CD pipeline is created by a DevOps engineer, a developer can directly use Docker and bring their service up in a couple of minutes. Without Docker, I would have to hire a DevOps engineer to deploy services. Docker makes the deployment process seamless and saves significant energy and time.

    Which other solutions did I evaluate?

    I can compare Docker on Ubuntu 20.04 LTS directly with Kubernetes or any other deployment service provider. Kubernetes is a very good competitor of Docker. Both are very mature services, but Docker is lightweight while Kubernetes is very heavy to use and very expensive. Docker provides features that are very straightforward for deployment, image creation, image pulling, running, and logging. Kubernetes requires creating pods and pulling services, configuring them with the server, and installing components that require a heavy machine to handle Kubernetes itself. Docker is very lightweight and I can use it anywhere, including on small machines.

    What other advice do I have?

    I can configure other kinds of services from AWS, Azure, and Google. I can directly connect a webhook to a system where Ubuntu is used with Docker on Ubuntu 20.04 LTS, and create CI/CD pipelines locally or on a server. I can push the code and automatically the webhook triggers, images are created, pulled, deployed, and running. Ubuntu has provided clear deployment processes since the early twenties. Everything is automated and I do not have to configure every time or update the environment variables. I only have to create deployment.yml files that directly pull my code, add the environment variables, and run automatic systematic commands. The image is built, the database is connected, and my service is up and running. The configuration of automatic CI/CD pipelines via Docker on Ubuntu 20.04 LTS in Ubuntu servers is very seamless.

    Regarding licensing, I have independently used Docker without needing any kind of license because a single developer can use Docker directly without requiring any licensing. However, in corporate deployment, Docker on Ubuntu 20.04 LTS does require a license, though I do not have much information about licensing for the organization level.

    In my organization's case, I purchased Ubuntu machines from marketplace providers such as Contabo or other service providers offering servers with Ubuntu operating systems. I installed software to make the deployment process seamless, including Docker on Ubuntu 20.04 LTS. I configured Docker, NGINX, and local work time items within Docker itself. I can install NGINX in Docker and Node.js in Docker, create images of my project, and deploy them directly. Locally, I use Ubuntu as a primary machine because I want Linux commands. Ubuntu is a very good OS as it provides sudo commands and multiple other commands to directly view logs, bring up services, create images, and configure service networking. Ubuntu is a very terminal-friendly OS that directly supports Docker integration. I can directly install Docker on Ubuntu 20.04 LTS in the terminal and pull images from the local machine for any kind of service such as Microsoft or Ubuntu or Mac. I build my project and the service itself in Docker Hub, then I can go to Ubuntu and pull the images from the local machine and deploy them directly in Docker on Ubuntu 20.04 LTS.

    I provided a review rating of nine out of ten for Docker on Ubuntu 20.04 LTS.

    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)
    Micah Telbert

    Addressed security gaps and documentation challenges while meeting compliance and reducing setup time

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

    What is our primary use case?

    My main use case for Docker on Ubuntu 20.04 LTS is that we deployed Docker on Ubuntu 26 Hardened x86-64 from AWS Marketplace as our base AMI for all our backend microservices. As a software engineer, we needed a CIS hardened, secure Ubuntu image with Docker pre-configured to meet our compliance requirements. We currently run about 15 Docker containers per EC2 instance for our e-commerce platform APIs, background workers, and cron jobs. This image saved us time in hardening Ubuntu ourselves, helped us pass our internal security audit much faster since it comes pre-hardened and with Docker already installed and configured, and reduced our developers' setup time from two days to less than two hours per environment. It provides a secure foundation with a minimal attack surface, has automatic security updates configured, and Docker optimized for Ubuntu 26. We saw a 35% reduction in vulnerabilities compared to our previous vanilla Ubuntu plus manual Docker install, and it also integrates perfectly with AWS ECS and our GitHub Actions CI/CD pipeline.

    A specific project where using the pre-hardened Docker on Ubuntu 20.04 LTS image really made our work easier was when we had a legacy monolithic older system running directly on Ubuntu 22.0 EC2 instances, where every deployment was manual, took two hours, and often broke because of dependency issues with Node.js 18, Python 3.11, and Redis PostgreSQL client conflicts. Our security team flagged 12 high severity vulnerabilities on the host OS, and we were failing our SOC 2 audit because the OS was not hardened.

    What is most valuable?

    The best features Docker on Ubuntu 20.04 LTS offers include security hardened by default, a Docker optimized kernel, fast and clean boot, and very seamless AWS integration.

    The security hardening by default is the first feature that I really love about Docker on Ubuntu 20.04 LTS. It comes with CIS level one hardening, unnecessary ports closed, SSH hardened, automatic kernel live patching enabled, and Docker daemon configured with TLS and secure defaults. We do not have to run any Ansible hardening playbooks anymore. I also love the AWS integrations because it works perfectly with AWS SSM, CloudWatch agent, and IAM roles, allowing us to manage the Docker host without SSH using SSM Session Manager, which is now more secure.

    Docker on Ubuntu 20.04 LTS has positively impacted my organization by saving time; we previously spent 16 engineering hours per environment to harden Ubuntu and install secure Docker, and now with this Marketplace AMI, it takes just 20 minutes. For five environments, we saved over 75 hours of DevOps work, amounting to approximately $4,500 in engineering cost saved. Security has also improved, reducing the need to hire an external consultant for hardening and auditing our Docker host, which would have cost around 3 to 5K. This hardened image meets 80% of our SOC 2 checklist, making audit preparation much faster and resulting in zero security-related incidents or Docker daemon crashes in just four months, compared to two incidents on our old self-configured host, thus reducing downtime and improving customer experience.

    What needs improvement?

    Docker on Ubuntu 20.04 LTS can be improved in terms of documentation, as it is very limited and lacks a clear guide on what hardening was applied.

    The limited documentation has negatively affected my team, as new users find it hard due to the steep learning curve; there is not enough documentation online to guide them on setup or getting things done independently, forcing them to rely on customer support for training, which can be time-consuming.

    In addition to documentation, support response from the publisher on AWS Marketplace was slow, taking two days.

    For how long have I used the solution?

    I have been working in my current field for four years and four months.

    What do I think about the stability of the solution?

    Docker on Ubuntu 20.04 LTS is extremely stable; we have been running 16 instances in production for four months with zero OS level crashes and an uptime of 99.95%.

    What do I think about the scalability of the solution?

    The scalability of Docker on Ubuntu 20.04 LTS is excellent; we use it in an auto-scaling group, and new instances with Docker containers came up in under two minutes.

    How are customer service and support?

    My experience with customer support has been that the customer support from Ubuntu is extremely helpful and responsive, but customer support from AWS Marketplace was a bit slow to respond since they took two days.

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

    Before switching to Docker on Ubuntu 20.04 LTS Hardened, we evaluated and used three alternatives, one of which was vanilla Ubuntu 22.04 LTS and another was Amazon Linux 2023 with Docker and AWS ECS with Fargate managed container services.

    The main reason we switched from vanilla Ubuntu 22.04 LTS to Docker on Ubuntu 20.04 LTS was that it was slow and inconsistent; every engineer hardened the OS slightly differently, and the script failed 30% of the time due to APT repository issues, leading to us spending 1.5 days per environment just for setup and security audit. We had 12 high vulnerabilities in our last SOC 2 scan because we missed kernel patches, but with Docker on Ubuntu 26 hardened, hardening is already done and verified.

    How was the initial setup?

    Deploying Docker on Ubuntu 20.04 LTS in my environment is very easy and smooth compared to doing it manually, with just a couple of small learning curves because it is a hardened image.

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

    My experience with pricing, setup cost, and licensing was very reasonable and cost-efficient.

    I love the transparent pricing with no hidden fees built into our normal AWS bill, the ability to share the AMI with other AWS accounts in our organization after one purchase, and the ease of cancellation, allowing us to unsubscribe anytime from the Marketplace and manage subscriptions. We have also seen improvements in our security and significant savings in time and cost.

    What other advice do I have?

    I would rate Docker on Ubuntu 20.04 LTS four out of five.

    I did not rate it lower; I chose a four instead of a five because if they would expose more documentation, especially online, I would have rated it a five out of five, but since the documentation is very limited, that is why I rate it a four out of five.

    One notable feature that sets Docker on Ubuntu 20.04 LTS apart from other solutions I have tried is its clean and intuitive, user-friendly interface that makes it accessible for all types of users.

    My advice to others looking into using Docker on Ubuntu 20.04 LTS is that if you are on AWS and need a secure, compliant Docker host quickly without spending weeks hardening Ubuntu 26 yourself, this is the best option. I recommend it for startups and mid-sized companies, and also large companies that need security compliance, but make sure to read the hardening list and test your application as some privileged containers may need extra permissions due to hardening. I have given this product an overall rating of four out of five.

    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?

    Amazon Web Services (AWS)
    Gur Sannikov

    Cross‑OS containers have unified our secure AI workflows and support hybrid deployments

    Reviewed on Sep 03, 2026
    Review provided by PeerSpot

    What is our primary use case?

    We are working on two different deployments, one based on WSL, which is like Windows WSL, and the other one is Ubuntu. We have a local setup deployment that basically serves as a local AI inference agent based on NVIDIA GPUs, and we use Kubernetes with Docker.

    What is most valuable?

    First of all, since it is cross-OS, it is very easy for us to do small deployments on edge computers that are using Windows with Ubuntu, and then do the full production on Linux local servers. We use this frequently, and they have made a lot of progress lately with their cross-integrations and WSL integrations and Kubernetes.

    A second thing that we really appreciate is that it is very easy for people to understand because it reminds them of the Git workflow, so all the image management is so convenient that people feel they are working with Git. Here they are not managing code; they are managing images.

    Since we are doing a cross-compile, we want to decouple it and basically have a constant image for our environment. We are building OS inside OS, and we are using this feature. It allows us to create an independent cross-compile image that is basically decoupled from the host.

    For us it is a small tool; it is not a big investment, so we are not tracking the ROI of the product directly, but I can tell you that it gives a lot of useful features and overall the ROI is worth it. Especially, now they have this MCP integration and all management of all MCP servers is in this new feature, and it basically allows you to deploy MCP servers securely because each MCP server is running in a separate Docker. In combination with all those features, the ROI is good.

    What needs improvement?

    I think the licensing is still confusing. Since it is so easy to install, the licensing remains confusing regarding what is for enterprise and what is for personal use. Basically, you can install it, but then you get a message that this is personal mode, and people are afraid whether they stand with the license or not. The licensing is a little bit confusing.

    A second thing is that there is this Docker Hub, and I don't know why, but people say that they have issues with the images that they download there. Personally, we don't really use Docker Hub.

    For how long have I used the solution?

    We have been using this for many years, maybe five years.

    What do I think about the stability of the solution?

    In combination with Kubernetes, we don't see any limitations. There is now a composer, so sometimes people use composer, and many now use image composer images.

    What do I think about the scalability of the solution?

    In combination with Kubernetes, we don't see any limitations.

    How are customer service and support?

    I don't have something special to report, but I can tell you that it passed our internal CISO review. We are working with top secret data, and we have a Common Criteria regulation that we need to comply with. From a security specification standpoint, it was accepted.

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

    I am not sure of its competitors. I switched from working at Intel to a new company. At Intel, we had another solution; I don't remember the exact name, but it was more legacy, and everybody wanted to switch to Docker. It was something parallel to Docker, but eventually it was considered legacy.

    How was the initial setup?

    It is very easy; it is one of the easiest setups.

    What was our ROI?

    For us it is a small tool; it is not a big investment, so we are not tracking the ROI of the product directly, but I can tell you that it gives a lot of useful features and overall the ROI is worth it. Especially, now they have this MCP integration and all management of all MCP servers is in this new feature, and it basically allows you to deploy MCP servers securely because each MCP server is running in a separate Docker. In combination with all those features, the ROI is good.

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

    I am not paying for it, but I know that there was no issue. I don't remember the exact number, but comparing it to other costs that we have in other tools and especially in AI, it is reasonable. It is not something that is preventing the purchase.

    Which other solutions did I evaluate?

    At Intel, we had another solution; I don't remember the exact name, but it was more legacy, and everybody wanted to switch to Docker.

    What other advice do I have?

    We have a very high bar because we are developing a security product, so it is the highest bar that can be.

    Basically, we have here two types of environments. One environment is top secret data that cannot leave a special network that is only inside the organization; we cannot use any cloud provider for it, so all this setup is running locally. We have the same images from an infrastructure perspective that is handling other projects that do not have such secure data; their data is less secure. It is still secure, but it is at a level that allows us to use cloud. It is not external cloud; it can be AWS or Azure, but still, it is allowed. The fact that we are using this hybrid environment means we are reusing the same infrastructure for different data type classifications.

    We never reached the point that we need to search in community forums for help. My overall rating for this product is 9 out of 10.

    FilipGrasheski

    Containerization has streamlined deployments and supports diverse monitoring and web workloads

    Reviewed on Aug 28, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Docker on Ubuntu 20.04 LTS is to run Docker containers.

    A quick specific example of how I use Docker containers in my environment includes utilizing them for all kinds of applications, everything from Nginx to ForgeRock, and various tooling and monitoring solutions such as Prometheus and Grafana.

    What is most valuable?

    The best features Docker on Ubuntu 20.04 LTS offers are excellent for using official Docker repos.

    Docker on Ubuntu 20.04 LTS has positively impacted my organization as it provides a good way to run our toolsets and applications.

    The positive impact of Docker on Ubuntu 20.04 LTS definitely makes deployments easier and improves efficiency, which aligns with the main business case for the product.

    What needs improvement?

    Docker on Ubuntu 20.04 LTS can be improved, particularly as security features can always be enhanced, and the configuration is somewhat fragmented with different configuration files that can sometimes be cumbersome.

    For how long have I used the solution?

    I have been using Docker on Ubuntu 20.04 LTS for seven to eight years.

    What do I think about the stability of the solution?

    Docker on Ubuntu 20.04 LTS is stable.

    What do I think about the scalability of the solution?

    The question of how Docker on Ubuntu 20.04 LTS's scalability applies does not seem relevant when we are talking about a single Docker instance.

    How are customer service and support?

    I have never had to use customer support for Docker on Ubuntu 20.04 LTS.

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

    I did not previously use a different solution before Docker on Ubuntu 20.04 LTS.

    How was the initial setup?

    My experience with pricing, setup cost, and licensing for Docker on Ubuntu 20.04 LTS is quite good as it is all official on Docker.

    What was our ROI?

    I cannot say I have seen a return on investment while using Docker on Ubuntu 20.04 LTS, as it is the usual use case for Docker and containerization, which is already a standard way of working.

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

    My experience with pricing, setup cost, and licensing for Docker on Ubuntu 20.04 LTS is quite good as it is all official on Docker.

    Which other solutions did I evaluate?

    I did not evaluate other options before choosing Docker on Ubuntu 20.04 LTS.

    What other advice do I have?

    I would rate Docker on Ubuntu 20.04 LTS a nine out of ten.

    I give it a nine because there is always room for improvement, so I would not give any product a perfect ten.

    Regarding Docker on Ubuntu 20.04 LTS's AI capabilities, I think its governance and security work quite well in terms of namespace isolation; the security is quite strong, but if you want something like image vulnerability scanning, it does not have anything built in, so you have to rely on third-party toolsets, and secret management is a bit of a downside.

    Docker on Ubuntu 20.04 LTS is pretty accurate regarding its AI capabilities and the accuracy and reliability of output.

    My advice to others looking into using Docker on Ubuntu 20.04 LTS is that if you are not using it, then try it. My overall review rating for Docker on Ubuntu 20.04 LTS is nine.

    Pratham C.

    Docker on Ubuntu20: Simplify development

    Reviewed on Apr 16, 2024
    Review provided by G2
    What do you like best about the product?
    Docker is a platform that is used by developers to run applications in containers and Ubuntu20 provided several improvements such as long term support (LTS) for Docker deployments over a long period.
    What do you dislike about the product?
    The main issue with Docker comes when integrating various containers, and in Ubuntu20 there are a lot of bug fixes to be done while integrating the software.
    What problems is the product solving and how is that benefiting you?
    The biggest problem it solved was when I was developing a blog application using Spring Boot and was using Ubuntu20. During that time, there were various components that needed to be isolated from each other, and Docker helped in solving that problem. The benefit is that it made developing such applications much easier.
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