Docker Enterprise was sold to Mirantis in 2019; that product is now sold as Mirantis Kubernetes Engine. But Docker now offers a 2-product suite that includes Docker Desktop, which they present as a fast way to containerize applications on a desktop; and, Docker Hub, a service for finding and sharing container images with a team and the Docker community, a repository of container images with an array of…
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NuGet
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NuGet is the package manager for .NET. The NuGet client tools provide the ability to produce and consume packages. The NuGet Gallery is the central package repository used by all package authors and consumers.
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Our team uses Lando which is built on top of Docker. This makes using Docker even easier.
It is easy to use. we can manage multiple images in docker hub. Docker desktop is for accessing images in our desktop. It is very much user friendly as compare to podman.
Docker is by far the industry leader and mainstay when it comes to virtual machines, its really hard to justify using another service like Vagrant. The upcoming monetization of Docker desktop should make things interesting though.
We need a solution where initially we can use an OS to trigger our pipeline to be used by terraform and then later in ansible. After doing all work it automatically get exited and we can reclaim the space of our VM. So we created a gitlab pipeline and at the initial stage we …
The features and capabilities provided by Docker are incomparable and much vast in nature. Docker is much light weight and easy to onboard into the tech stack. It is also well supported by Container orchestration systems like Kubernetes which will be critical when applications …
Did use containerd or LXC for brief evaluation in the past, but settled on Docker and only see Docker as the mainstay for most organizations I worked in, as the container tool of choice so far. Docker is matured, feature-rich, and reliable enough to be the main choice all …
The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.
Docker provides is effective container management and orchestration platform. It is highly suitable for Linux environments and allows the easy and quick deployment of production applications Other alternatives use replication and management of the virtual machines. Docker …
Not really have a choice here, especially when working with .NET Framework / .NET Core. At least the built-in GUI of NuGet helps beginners get up to speed quickly. However, advanced users would be able to be more productive with Maven / Ivy thanks to the complete text-based …
You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.
If you're working on some .NET Framework / .NET Core projects, there's no other real choice here. NuGet works well, the heavy reliance on built-in GUI makes it friendly & easy-to-learn for new people, especially those who haven't been used to dependency management topics. But for those coming from the Java world, who are already spoiled by text-based Maven / Ivy, then NuGet could be a chore to work on a daily basis.
I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well
We need a solution where initially we can use an OS to trigger our pipeline to be used by terraform and then later in ansible. After doing all work it automatically get exited and we can reclaim the space of our VM. So we created a gitlab pipeline and at the initial stage we defined a docker file which will be our base image and we performed all our activities inside that image to build infrastructure using terraform. Integration we have done in our gitlab pipeline and finally we remove the docker image so that the space can be reclaimed immediately.
It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.