Install Kubernetes from Scratch - Provisioning Infrastructure for Kubernetes
All the instructions required to deploy this cluster is recorded in the github repository here.
Checkout the full Kubernetes Certified Administrator course at: https://bit.ly/3etrZmF
In this demo we look at provisioning the environment required for our cluster. And then how to setup access to these VMs. The instructions for these tasks are available at the Provisioning Compute Resources section in the github repo.
First download the gitrepo if not already done so. In this case we have done that already.
Here I have a console on the left and the Oracle VirtualBox on the right. That way we can monitor the deployment process.
Cd into the vagrant directory. Run the vagrant up command.
It downloads the required images and provisions them on VirtualBox. Assigns them Ips and installs the required software on them.
It deploys the first master, then the second master, then the load balancer, then the first worker and then the second worker. It is now done with all activities. All 5 VMs are provisioned and ready.
So how do we gain access to these VMs? An easy way is to run the vagrant ssh command and specify the name of the VM. In this case master-11. And it will take you right in. In the system information section you can see the IP address assigned to the VM.
If you prefer to use your own SSH tool, you can access these using the SSH private Key generated for these VMs. But where is these keys located?
In the directory where you ran the vagrant up command from, you will see that it created a .vagrant folder, under which you have a folder named machines and under which you have a folder for each of the VMs deployed. Under each VM, the file containing the private key is located under the virtualbox folder.
You may use these with the SSH Terminal tool of your choice. In my case I use a tool named MobaXterm. You don’t have to use the same. Use any SSH tool of your choice. I like this because it has some nice features to organize sessions and split screens and transfer files. Whatever tool you use, just make sure you are able to easy save sessions to each node and that you can easily access these nodes when required.
In my case I create a folder for this lab. Named kubernetes-the-hard-way. Under that I create a session for each node. I specify the IP address which is 188.8.131.52 for master-1. The username is vagrant. And then I copy the path to the location of the private_key file. And then set the session name to master-1. Click Ok and it logs me in.
Similarly, create a session for each node. Duplicate this session and change the details for each one. We are now done with creating SSH sessions to all nodes. Using private_keys we can SSH to any of these nodes securely.
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.
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.
#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml
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.
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.
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
Checkout the full Kubernetes Certified Administrator course at: https://bit.ly/3etrZmF All the instructions required to deploy this cluster is recorded in th
#install #kubernetes #scratch #testing
Recently, Microsoft announced the general availability of Bridge to Kubernetes, formerly known as Local Process with Kubernetes. It is an iterative development tool offered in Visual Studio and VS Code, which allows developers to write, test as well as debug microservice code on their development workstations while consuming dependencies and inheriting the existing configuration from a Kubernetes environment.
Nick Greenfield, Program Manager, Bridge to Kubernetes stated in an official blog post, “Bridge to Kubernetes is expanding support to any Kubernetes. Whether you’re connecting to your development cluster running in the cloud, or to your local Kubernetes cluster, Bridge to Kubernetes is available for your end-to-end debugging scenarios.”
Bridge to Kubernetes provides a number of compelling features. Some of them are mentioned below-
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Over the last few years, Kubernetes have become the de-facto standard for container orchestration and has also won the race against Docker for being the most loved platforms among developers. Released in 2014, Kubernetes has come a long way with currently being used across the entire cloudscape platforms. In fact, recent reports state that out of 109 tools to manage containers, 89% of them are leveraging Kubernetes versions.
Although inspired by Borg, Kubernetes, is an open-source project by Google, and has been donated to a vendor-neutral firm — The Cloud Native Computing Foundation. This could be attributed to Google’s vision of creating a platform that can be used by every firm of the world, including the large tech companies and can host multiple cloud platforms and data centres. The entire reason for handing over the control to CNCF is to develop the platform in the best interest of its users without vendor lock-in.
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