DOCKER ON KUBERNETES IN AWS INSTALL
DOCKER ON KUBERNETES IN AWS SOFTWARE

It also lets one manage individual containers in an intuitive way. Common examples of these include docker, rkt, runC, LXC, etc.Дocker, for example, includes a daemon which provides interactions like creating an 'image', a reusable entity that can be launched into a container instantly. Various container runtimes and engines came along which make the process of creating a 'container', an environment within the OS, like a namespace which has limited visibility, resources, etc, very easy. This feature lets us isolate processes in groups, decide what other processes and file system they can see, and perform resource accounting at the group level. Then, somewhere along the line, cgroups (control groups) were added to the linux kernel. (This is not as much a drawback of the approach, as it is of the existing tooling for virtualization.) Packaging and distributing VM images is not as simple as it could be. (This may be an issue only for certain kinds of applications)

They may not start/go down as fast as we want them to (order of seconds).Д®ven with hardware assisted virtualization, application instances may see significant performance degradation over an application running directly on the host.

They consume large amounts of resources in running an entire instance of an operating system.

Applications typically do not need to be rearchitected for moving from physical hardware to virtual machines.Д«ut they introduce some problems of their own:.

They can be brought up on a different machine (replicated) quite quickly when scaling (order of minutes).

They provide a standard execution environment (the guest OS) irrespective of the underlying hardware.

They provide isolation even while running on the same machine.

Virtual machines solve some of the problems of the above: These properties make it undesirable for deploying modern production applications.

DOCKER ON KUBERNETES IN AWS SOFTWARE

There may be differences in the hardware specifications, OS/kernel versions and software package versions of the physical machines, which make it difficult to manage these application instances in a hardware-agnostic manner.ДЄpplications, being directly affected by the physical machine specifications, may need specific tweaking, recompilation, etc, which means that the cluster administrator needs to think of them as instances at an individual machine level. Scaling this system up/down is difficult as well, taking a lot of effort and time in setting up a new physical machine. The processes may interfere with each other (because they share CPU and file system resources), and one may affect the other's performance.

DOCKER ON KUBERNETES IN AWS INSTALL

Some time ago, the best way to deploy simple applications was to simply buy a new webserver, install your favorite operating system on it, and run your applications there.

This may be a bit long and present some oversimplification but should be sufficient to get the idea across. Where do Docker Engine, rkt, Kubernetes, Google Container Engine, AWS Container Service, etc.Orchestrator: is this any different from a container engine? How?.Container Engine: groups containers into clusters, manages resources.Container Clusters: groups of containers that share resources.Any others that are notable and widely used? It seems like Docker is the de-facto standard.Containers: self-contained package including application, runtime environment, system libraries, etc.Here's my layman's understanding would appreciate any corrections and feedback on holes in my understanding My confusion lies in understanding what each layer of the 'Container Stack' provides and who the key providers are of each solution. It seems like certain technologies overlap different portions of the stack and different pieces of different technologies can be used as the DevOps team sees fit (e.g., can use Docker containers but don't have to use the Docker engine, could use engine from cloud provider instead). I'm trying to get a good understanding of container technologies but am somewhat confused.

Docker on kubernetes in aws