
Configure the kube api server by editing configuration files, copy the binary to the required folder, and restart the docker service to bring up the master and node services.
This lecture demonstrates ridge regularization techniques to train a model on the Boston housing data. It compares loss and R-squared across iterations and visualizes results with plots and code.
Explore how the Kubernetes api uses EPA objects as declarative configuration, enabling create, update, delete, and get operations via the Kuban bill cli, while balancing backward compatibility and stable versions.
Configure a virtual private cloud with public and private subnets, an internet gateway, and a NAT gateway with elastic IP to enable internet access and high availability.
Configure security groups for ingress and egress; link public and private subnets, enable SSH, use elastic block store, Route 53 DNS, and elastic load balancer with S3.
Modify the instance group and machine type in the public cloud, save changes, and perform a rolling update to reflect the new instances.
Learn how yaml defines kubernetes configurations, using maps and lists to build apiVersion, kind, metadata, and spec for deploying containers with images and ports.
Master scalable updates with rolling upgrades and gradual rollouts, minimizing downtime. Learn to scale the cluster with scale commands and perform one-by-one replica updates for version zero point two.
Learn to install and start minikube on Mac, configure shell context, list cluster nodes, switch contexts for multiple clusters, stop, delete, and run specific Kubernetes versions.
discover google container engine (gke) built on google compute engine and learn to create a kubernetes cluster in the google cloud console using zone, machine type, and container-optimized image.
Explore Google Kubernetes Engine (GKE) in the GCP console, viewing the container cluster and connecting via Cloud Shell to manage it. Learn kubectl installation options using a development ops tool.
Install and configure kops on AWS, create a state store in S3, supply credentials for Route 53 and S3, then create, deploy, and validate a Kubernetes cluster with kubectl.
Initialize a new kubernetes cluster with kubeadm, pull images, and create system components; copy kubeconfig, set the kubeconfig environment variable, then join additional nodes and verify the cluster is ready.
Demonstrates adding an interface to a network namespace via a veth pair on localhost, assigning IPs, bringing both ends up, and testing connectivity within docker bridge networking.
Kubernetes is one of the largest open source projects in the world, according to data from GitHub. It’s so big that the tools to manage the development and deployment of Kubernetes are constantly catching up to the momentum behind the open source technology.
This continual evolution makes Kubernetes deployment a bit of an unsteady, fast-moving target. Still, the Kubernetes movement is the center of attention for organizations at the leading edge of technology innovation and adoption. Container technologies remain of great importance, but now the deepest issues are about scaling containers in orchestration environments. Containers are considered in context with Kubernetes. There is no other standard to speak of that can support the market scale that will be needed for containers to be used in production. The only standard is Kubernetes. Others are supporters of the technology, but only Kubernetes has enough wind behind it to steer the cloud-native technology market.
From this context, I present my course about Kubernetes. The market is now beyond the wonder of containers. It’s beyond the early fascination with distributed architectures that may be used across multiple cloud platforms. Even the Kubernetes technology itself is getting boring, despite the fast pace of change. That’s a welcome sign for an early market primed for its next big test. The big question is now about the technology’s maturity: How well does Kubernetes work in production? We still don’t know. It’s a question that cannot be resolved quickly. And until it’s resolved, we won’t know how much of an impact Kubernetes will truly have.
Containerization is the most important and useful technique in todays world.People along with business and organisations are looking for an easy way to manage their apps.No one needs to do so much work when managing business applications.There is a great need for organizations to scale up to growing number of applications.The best way is to automate this. Kubernetes is the best answer for the same.This container is very flexible , highly reliable and can be automated in the most efficient way.This course would Completely guide you on how to use Kubernetes and get the best out !This course will help you to gain understanding how to deploy, use, and maintain your applications on Kubernetes. If you are into DevOps, this is a technology you need to master. Kubernetes has gained a lot of popularity lately and it is a well sought skill by companies.This Course focusses only on LAB and Commands with no theory at all.
Looking forward for your participation !