This allowed it to gain a lot of traction within the community in a very short amount of time.

However, in reality, these three platforms come together in wonderful harmony.

The hidden relation between Docker, Kubernetes and OpenShift make it possible to build enterprise-level cloud applications using a vast array of cloud-native technologies.

This leads to some problems when they work on day-to-day tasks on these platforms such as.

We will understand what these platforms mean individually and how they come together.

We will also look at what Docker vs Kubernetes and Kubernetes vs OpenShift really mean.

This container is largely self-sufficient and can be deployed on different platforms.

Essentially, the bundle should run the same wherever it is deployed.

Often, you would have heard developers complaining that what worked perfectly fine in development or staging environment didnt work in production.

Many times the reason for such issues is missing dependencies.

More and more enterprises are embracing Docker for their production workloads.

You can refer to understanding the basics of docker for more information about Dockers history, what makes it special and its high-level architecture.

While it is an extremely good choice for standalone applications, enterprise applications are often not so simple.

Depending on the chosen data management pattern, these microservices would be speaking to each other.

They can use an API-Driven communication pattern or the publish-subscribe model.

Anyways, API, Microservices and Containers go very well together.

However, when it comes to multi-container enterprise cloud applications, managing each and every container individually can lead to sleepless nights for developers.

These hosts can be bare-metal servers or other virtual machines.

Managing the storage shared by multiple instances of a container.

Launching new instances of the container in case of failure.

It was a small-scale internal project at Google with the goal of providing a tool-set for cluster management.

At its peak, the Borg system used to run thousands of jobs across thousands of applications within Google.

However, services like Google Compute Engine were often not suitable for projects where most of the resources were not used.

Docker For Mac Openshift