Kubernetes Breaks Cloud Barriers

Kubernetes, an open-source Orchestration software is developed in the Google platform and it been 6 years since its initial release. It helps you to manage a containerized application in various types of physical, virtual, and cloud environments.

Kubernetes is a highly flexible Orchestrator container tool to deliver even complex applications. Applications run on clusters of hundreds to thousands of individual servers. It also allows you to manage your containerized application more efficiently.

Containerization is the latest trend “buzzed” all over the world to allow people to run all kinds of different applications in a variety of different environments. When they do that, they need an orchestration solution that helps in tracking all those containers to schedule and orchestrate them. Kubernetes is an increasingly popular way to do that.

Kubernetes plays a vital role in helping users by lessening the burden of configuring, deploying, managing, and monitoring even the largest-scale containerized applications.

The Modern competitive Cloud world appears to be the one where not only customer workloads span clouds, but the cloud providers themselves routinely extend into the rival territory by providing the best of the technology services to be the front runner in the Cloud domain.

Kubernetes Companions — New Silos

Kubernetes has won the day, but the era of cross-cloud unity the container orchestrator providers will be challenged by the ancillary services developing around it.

One technology on that roadmap that’s essential for enterprises deploying hybrid Containers, in concert with Kubernetes, is helping enterprises better manage workloads and reduce risks.

In organizations using DevOps practices — including short development sprints, experimentation, and iteration — containers can be key to the evolution of processes, and to an organization’s increasing usage of cloud infrastructure and microservices.

Kubernetes Design Pattern

A Design pattern to build and implement the container-based services on the Kubernetes platform is necessary. Similar to other existing design patterns, the Kubernetes pattern too has self laid principles and architecture to build, manage, and scale applications.

Below are the type of Kubernetes patterns in existence.

Foundational Pattern

The scope of this pattern covers the underlying practices and principles that need to be followed to build container-based APIs.

Behavioural Pattern

It provides granular level scope on functioning and managing the kuber interactions.

Structural Pattern

The scope is to organize and structure the involved containers within the pod.

Configurational Pattern

The pattern plays a vital role in connecting the Kubernetes application with downstream/upstream through various configuration patterns.

Tips and Tricks:

For switching between different Kubernetes context (local instance and different versions of cloud), it is recommended to use the below kubectl commands

  • current-context
  • get-contexts
  • rename-context
  • delete-context

When switching between namespaces, it is better to have a default value for the namespace or we can use kubens tool, as it helps you list and switch to different namespaces.

Kubernetes vs Docker

  • Kubernetes can work with any containerization technology. rkt and Docker are the most popular options that Kubernetes can integrate.
  • Kubernetes provides Auto-scaling whereas Docker Swarm doesn’t support autoscaling.
  • Kubernetes supports up to 5000 nodes whereas Docker Swarm supports more than 2000 nodes.
  • Kubernetes provides low fault tolerance while Docker provides high fault tolerance.

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