Getting Started with Minikube as Your Local Kubernetes Cluster

Kubernetes or K8s plays a major role in DevOps and currently, most applications are likely to be deployed in a Kubernetes cluster. Before Docker introduced in 2013, Virtualisation played a huge role in the IT industry.

You could have certainly heard different tools such as Virtual Box, VM ware, etc and most probably you have already experienced them by today. But after the containers came into the picture, developers started containerising their applications because this technology gave them more feasibility solutions to go further.

Once Google introduced Kubernetes which is a powerful system to manage containerised applications in a clustered environment, the real change started to happen. Kubernetes is an open-source system which has its’ own architecture and compatible with different 3rd-party tools and adapters.

In a clustered environment, you would probably have several master and worker nodes and most of them could be either physical machines or a cloud environment. But, what if you need to test something in your local machine? it could be simple containerised application or might be a production-level application which needs to be tested before you deploy it. Anyhow, this doesn’t mean that you need to buy all the required physical machines or a cloud environment to test them out in a cluster.

Then, what could be your choice? Here’s Minikube comes into the picture.

#clustering #containers #minikube #docker #kubernetes

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50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

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Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.

This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.

Kubernetes: Your Multi Cloud Strategy

Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.

In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.

Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.

In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.

The Compelling Attributes of Multi Cloud Kubernetes

Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.

Stability

In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.

#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud

Getting Started with Minikube as Your Local Kubernetes Cluster

Kubernetes or K8s plays a major role in DevOps and currently, most applications are likely to be deployed in a Kubernetes cluster. Before Docker introduced in 2013, Virtualisation played a huge role in the IT industry.

You could have certainly heard different tools such as Virtual Box, VM ware, etc and most probably you have already experienced them by today. But after the containers came into the picture, developers started containerising their applications because this technology gave them more feasibility solutions to go further.

Once Google introduced Kubernetes which is a powerful system to manage containerised applications in a clustered environment, the real change started to happen. Kubernetes is an open-source system which has its’ own architecture and compatible with different 3rd-party tools and adapters.

In a clustered environment, you would probably have several master and worker nodes and most of them could be either physical machines or a cloud environment. But, what if you need to test something in your local machine? it could be simple containerised application or might be a production-level application which needs to be tested before you deploy it. Anyhow, this doesn’t mean that you need to buy all the required physical machines or a cloud environment to test them out in a cluster.

Then, what could be your choice? Here’s Minikube comes into the picture.

#clustering #containers #minikube #docker #kubernetes

Getting Started with Kubernetes and Container Orchestration

Kubernetes or popularly known as K8s is a popular container korchestration tool, which runs over our containers ( created on any Container Engine e.g. Docker, Podman, CRI-O etc. ) and manages for automating deployment, scaling, and management of containerized applications.
Kubernetes clusters can span hosts across on-premise,public, private or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming…

#devops #kubernetes-cluster #kubernetes #started #orchestration

Create a Local Kubernetes Cluster (K8s#3)

How to get a local Kubernetes cluster up and running

Hi everyone! With this article, we go deep with the Kubernetes Series. In the previous articles, I have shared with you a brief introduction to Kubernetes and showed the most common Docker parts used for Kubernetes.Today I want to show you 2 ways to setup a local Kubernetes cluster, that is the base you must have to start working with Kubernetes. These ways are the following :

1. Setup minikube
2. Setup Virtual Machines with Master and Worker nodes

#containers #kubernetes #clustering #cloud #kubernetes cluster