Docker on Ubuntu 26 Hardened

Since it is easy to set up Docker on Ubuntu 20.04 LTS, a developer can quickly develop containerized images.

I have concerns about permissions because Docker on Ubuntu 20.04 LTS is great for development, but I do not see it as suitable for a production environment, so permission and security could be enhanced.

Regarding Docker on Ubuntu 20.04 LTS's AI capabilities, I have not used Docker on Ubuntu 20.04 LTS's AI capability, so I cannot comment on its accuracy and reliability of output.

In my organization, Docker on Ubuntu 20.04 LTS is currently used in a hybrid setup, utilizing both public and private cloud. I use a proprietary cloud provider in my hybrid setup called MOC or NERC.

My advice for others looking into using Docker on Ubuntu 20.04 LTS is that they should definitely use it because many images that are currently built are made on Docker on Ubuntu 20.04 LTS, and they are easily available and free.

My major use case for Docker on Ubuntu 20.04 LTS is that I usually use it in microservices to test different programming languages without affecting my real environment.

I use Ubuntu on AWS and also in an on-prem environment, so I use it in both locations.

CI/CD capabilities are important for my deployment timelines and application quality.

I am able to push new updates through Jenkins or any CI/CD tool, which makes the deployment faster.

What I appreciate about Docker on Ubuntu 20.04 LTS is that I am able to control every package I need in an isolated environment.

Container orchestration on Ubuntu is important to me, but I have moved to Kubernetes for orchestration purposes rather than using Docker itself.

When it comes to the security side of Ubuntu, I can control security ports using IP tables and manage user permissions for specific files and directories.

The combination of Docker on Ubuntu 20.04 LTS does support my hybrid cloud strategy needs.

I do not see anything negative with Docker on Ubuntu 20.04 LTS as I am not that experienced to identify specific issues.

I do not have a personal dislike with Docker on Ubuntu 20.04 LTS, but using Portainer makes it easier to control containers since I primarily use the command line, so the visualization part is a small issue.

I have approximately three years of experience with Docker on Ubuntu 20.04 LTS.

I find Docker on Ubuntu 20.04 LTS to be ninety-nine percent reliable.

Docker on Ubuntu 20.04 LTS has some limitations when scaling, so for that, we go for Kubernetes.

One limitation is that when a container is down, it is not easy to self-heal or push a new version.

Community support for Docker on Ubuntu 20.04 LTS is amazing.

I can easily solve my issues with community support.

The installation of Docker on Ubuntu 20.04 LTS is straightforward, but deployment can become tricky.

In deployment, it becomes a bit tricky when you go deeper.

Some challenges I face with Docker on Ubuntu 20.04 LTS include understanding how each application is running and how they connect.

There is complexity when trying to run multiple containers together.

It is not glitches with Docker on Ubuntu 20.04 LTS itself; it relates to understanding how things work together.

I deploy Docker on Ubuntu 20.04 LTS myself.

I see savings with Docker on Ubuntu 20.04 LTS in terms of money because it helps us test multiple products in a very small environment.

Docker on Ubuntu 20.04 LTS is reasonably priced, and I mostly use the free version.

Even when it is a paid version, I think it is not expensive.

I have not compared Docker on Ubuntu 20.04 LTS to any similar tools on the market as Docker on Ubuntu 20.04 LTS is the top choice.

Docker on Ubuntu 20.04 LTS is the most user-friendly among container runtimes because I found it easiest to learn, having tried something else such as Rocket.

I am a user and customer of Docker on Ubuntu 20.04 LTS.

Regarding the encapsulation feature of dependencies, I would prefer to skip that.

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

As a database administrator, my main use case for Docker on Ubuntu 20.04 LTS is to test many client situations and scenarios in a real production database environment. I use many containers to have database servers and database clusters to generate real-time scenarios and achieve test results.

I find working with multiple containers for my database clusters makes my testing process easier because having multiple EC2 instances or machines has many cost constraints. Having Docker containers with minimal configurations makes my testing easier, more cost-effective, and much faster. Having these in a cluster helps me to connect them easily and achieve connectivity very efficiently.

Docker on Ubuntu 20.04 LTS is really helpful compared with the previous version because it has many features. My main use case is for testing purposes on database containers.

Docker on Ubuntu 20.04 LTS has positively impacted my organization in many ways because having multiple machines for multiple people costs more. We made our employees use Docker, and after they used Docker containers, we achieved many test cases through this. We don't need to assign so many machines for testing purposes, and we can generate use cases before they cause production issues. Overall, this improves the productivity of the workflow and prevents many production issues before they occur.

Since I started using Docker on Ubuntu 20.04 LTS, we have improved significantly and achieved time efficiency. We also saved some cost related to assigning machines. The main benefit is that we saved significant time because assigning a new machine for testing requires internal approvals. Having Docker within our environment helps to assign containers easily to employees for testing and other purposes. This saved both time and cost, although I don't have exact numbers.

Docker on Ubuntu 20.04 LTS contains many features such as container isolation, and I can run database servers without installing them on the main servers. It preserves database data in the Docker environment and allows me to use many application servers. When it comes to resource management, I can configure a minimum of 2GB limit and maximum CPU allocation of two CPUs with two cores.

The main feature I have seen in Docker on Ubuntu 20.04 LTS is resource management because I cannot afford so many machines with minimum configuration since these are not useful after testing. Having Docker with minimum configuration allows me to reuse the container for any other purposes. I can remove the Docker container after testing and then use it for other application purposes. Reuse is the main feature that I found very useful.

Docker on Ubuntu 20.04 LTS is far better compared with the previous version, so I don't see any significant disadvantages. Docker on Ubuntu feels very comfortable for me.

Docker on Ubuntu 20.04 LTS requires extensive commands knowledge because as a beginner, it is difficult to connect containers and create Docker images. The main challenge is the troubleshooting complexity and memorizing commands for beginners. When it comes to security configurations, if a person who is not aware of security things is configuring the system, it may cause security breaches. There are also some problems in installation with older versions because they sometimes do not have the actual repository. Additionally, an inbuilt monitoring feature would be helpful for beginners and for those who are not coming from a pure technical infrastructure background.

If Docker on Ubuntu 20.04 LTS needs improvement, I suggest having inbuilt monitoring rather than using something like Grafana. Having that monitoring will help beginners who are working on this. Additionally, if I configure Docker on a low machine configuration, sometimes I cannot change the configuration on the running Docker. I have to re-initiate the machines from the beginning, which is something that needs improvement.

I have been using Docker on Ubuntu 20.04 LTS for more than two years for my UAT and other testing purposes.

Docker on Ubuntu 20.04 LTS is stable in my experience, but I have faced some issues. Whenever I found some over-resource consumption, I noticed that the machine is going to crash, and suddenly the IPs are changing on the container internally. These problems sometimes occur on the database server. After that, we thought about how to save costs, reduce resource usage, and address the dynamic IP changes.

Docker on Ubuntu 20.04 LTS's scalability is overall nice, but it is based on the machine configuration. If there are multiple containers on a single machine that is running with low configuration, it causes crashes, and suddenly the IPs and data are changing.

I haven't used customer support for Docker on Ubuntu 20.04 LTS much, but when I requested assistance, I got the results from them. The community is adequate for my needs.

I previously used VMware virtual machines for having more machines on a single physical machine. In that way, I achieved some things, but when compared with Docker on Ubuntu 20.04 LTS, I don't think that VM is more efficient.

Docker on Ubuntu 20.04 LTS has saved significant time because setting up new machines takes a long time, and it saved some cost compared to the previous setup I had. There is no problem with licensing. I don't have exact numbers, but I can see improvements in the workflow. I have found many useful things when using Docker containers for testing compared to physical machines. With Docker on Ubuntu 20.04 LTS, there is no need to ask for permissions; I can independently work on my machine.

I evaluated virtual machines, which is also a good solution, but after using Docker on Ubuntu 20.04 LTS, I found this to be more comfortable for my needs.

I would rate Docker on Ubuntu 20.04 LTS around eight out of ten.

I chose eight out of ten for Docker on Ubuntu 20.04 LTS because, as I mentioned, the inbuilt monitoring will be useful, and the version compatibility may pose installation difficulties for older versions. If I remove these drawbacks, I would surely give it nine out of ten or nine point five out of ten.

Regarding Docker on Ubuntu 20.04 LTS's security capabilities, it is based on the configuration that I am configuring because a person who is not aware of security will cause problems in the security system. It needs user-level privilege checks and security connectivity for long-term use. When generating images, I have to give all the security configurations before initializing the container. Security is more important to consider, even if the person is not aware of those concerns.

Regarding Docker on Ubuntu 20.04 LTS's accuracy, I think it is more accurate in giving results because all the database systems I'm running are running smoothly compared to machines before version 20. There is no problem with the consistency.

I deploy Docker on Ubuntu 20.04 LTS on-premises with no cloud environments. I did it mainly on physical machines, and the cloud environments are less when compared with the physical machines.

My main use case for Docker on Ubuntu 20.04 LTS is for local tests before shipping applications to production and other environments using container managers like Kubernetes.

With my usage of Docker on Ubuntu 20.04 LTS, I need to create applications with GitOps and self-service capabilities using Argo CD, implementing in production on Kubernetes, but I need to validate and test all tools with Docker.

I use Docker on Ubuntu 20.04 LTS with a suite of tools, and for every tool I need to ship between environments, I ensure to have the same configuration, making it the best workflow for using Docker in containers with the self image.

Docker on Ubuntu 20.04 LTS has positively impacted my organization as it promotes best practices by ensuring that every developer uses the same tools, and we do not experience any issues during implementation or local and production deployment.

The outcomes have included faster deployments, fewer errors, and improved collaboration, notably allowing us to build a Docker image on Docker Hub or a private company registry, creating a single source of truth which is a best practice, leading to much faster and more reliable deployments.

The best features that Docker on Ubuntu 20.04 LTS offers me include using Docker Swarm in the same way as a simple container, despite having many issues in specific usage, and I have many benefits from using Docker Ignore or Docker commands for management and troubleshooting.

Docker Swarm and its commands have helped me by allowing for a best and smooth migration from Kubernetes without using a virtual machine, facilitating the same type of container management, which is ultimately very helpful to developers and system managers.

Regarding Docker on Ubuntu 20.04 LTS's AI capabilities, I think its governance and security are very practical due to points that I cannot find in any type of LLM or chat, as I can directly use them inside Docker for daily routines and demands.

In my tests regarding Docker on Ubuntu 20.04 LTS's AI capabilities, I do not see any issues with accuracy, and the reliability is very practical as we provide developers with faster and more precise outputs without encountering any problems.

Docker on Ubuntu 20.04 LTS can be improved to be faster, and the networking connectivity can be complicated at some points, thus needing improvements due to issues during connectivity, especially related to outside and inside gateway connections.

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

I purchased Docker on Ubuntu 20.04 LTS through the AWS Marketplace.

Docker on Ubuntu 20.04 LTS is deployed in my organization primarily on-premises, but for most projects I work on, I utilize private cloud.

For my private cloud deployments, I use Azure, AWS, and GCP.

My advice to others looking into using Docker on Ubuntu 20.04 LTS is to pay attention during image creation, especially regarding multi-stage building and least privilege, as well as avoiding privilege escalation during the creation of a container image, which are important developer best practices.

I would rate Docker on Ubuntu 20.04 LTS a nine out of ten because networking has some points that need improvement, but aside from that, its many features are very practical, reliable, and confident.

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.

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.

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.

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

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.

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

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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

Docker on Ubuntu 20.04 LTS is stable.

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.

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

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

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.

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.

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.

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

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.