Roost Enhances the Power of Docker

Here at Roost we are frequently asked how our platform compares with Docker, and since Docker has been the pioneer of containerization the answer has to be long.

This blog is that long answer.


Docker: What Is, and What It Is Not

Docker is the beginning of the story of  containerization, it is where it started. Docker is used in multiple contexts and the following are the primary ones:

  1. Docker as a package
  2. Docker as runtime
  3. Docker as an orchestration framework
  4. Docker as a desktop


Docker as a Package

When an application gets containerized it must follow a certain specification. A container is a live instance of an image or another way of looking at it is the image is a prototype of a container. Images are built using a Dockerfile. Java folks will find it similar to the difference between object and a class.

A container image is not one image but one or more images that layer on top of each other. It’s a time tested design pattern which you can also find in Hadoop & database frameworks.

The Docker image format became so popular that the demand to use resulted in creating it as a general purpose packaging tool which led to the creation of Open Container Image (OCI) specifications. In fact, the Docker image specification became the first version of OCI specs.

Roost supports both Docker and OCI compatible images.


Docker as a Runtime

Like Java runtime, Docker images also needed a runtime so they run as a container. This runtime is called Docker engine. The rest of the story unfolded in a similar manner, as mentioned in the previous section. The Docker engine led to creation of Container Runtime Engine (CRI) specifications. In fact, Docker made the job easier by separating runtime from the rest of the engine as containers. CRI-O is another famous runtime which is CRI compatible.

Roost supports all CRI compatible runtimes.


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Docker as an Orchestration Engine

As container adoption increased, it led to the need for an orchestration framework for containers. It was similar to the need for YARN for big data workloads. Docker created Docker Swarm which is an orchestration engine.

Around the same time, Google open-sourced it’s internal borg engine and called it Kubernetes. Kubernetes was a far superior framework for very simple reasons. Docker Swarm kept Docker as a unit of execution and deployment. Kubernetes created a new deployment unit called Pod which provided first-class isolation to workloads like virtual machines. In short, a workload sitting in a pod does not know it is in a pod, VM or a host.

The Roost platform contains a CNCF certified distribution of Kubernetes. Roost also supports leading Kubernetes distributions. 

Roost completely eliminates the need for Docker Swarm.


Docker as a Desktop

Docker Desktop was created to make it easy for developers to build containerized applications. Initially it had an embedded Docker Engine but later added Kubernetes engine.

Roost Desktop completely eliminates the need for Docker Desktop.


Roost Advantagesblog-rocket

Roost Desktop is far superior than Docker by providing developers with the ability to create a multi-node Kubernetes Cluster on-the-fly. Developers can create teams and define cluster policies/configuration within a consistent and production-like development experience. At the same, Roost allows you to have these development clusters on-prem or the cloud. Roost allows developers to:





CRI compatible runtimes
Supports both Docker and OCI compatible images
Develop with live services
Initiate clusters in the cloud or running on the desktop
Test workloads in this production-like environment
Provides a complete development platform
On-demand cluster creation
Integrates codes changes directly into production




Watch a 2-minute overview video to see how quickly Roost integrates
code changes into your existing CD pipeline.

VIDEO 1227- Use Cases - Instant Production like Environment - Cloud-Native Applications


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