Kubernetes Training

Kubernetes (k8s) is an open-source system for automating deployment, scaling, and management of containerized applications.
It groups containers that make up an application into logical units for easy management and discovery.

The use of container technology has seen a massive increase in the past few years as more and more organizations are realizing the potential of containers. These enterprises deploy a huge number of containers and thus require technologies and frameworks that help in automation and management of these containers. Technologies such as Kubernetes that help in automating deployment, scaling, and management of containerized applications are thus in much demand.

Kubernetes is an open source; container management system created by Google to automate deployment and manage containerized applications. It acts as a portable cloud platform that orchestrates computing and networking. It has become an integral part of DevOps teams since it helps them manage the containers easily.

The usage of Kubernetes continues to grow in container environments globally. Hence, the demand for professionals who have knowledge of Kubernetes is high, since organizations need experts who can help manage these containers.

A fundamental difference between Kubernetes and Docker is that Kubernetes is meant to run across a cluster while Docker runs on a single node. Kubernetes is more extensive than Docker Swarm and is meant to coordinate clusters of nodes at scale in production in an efficient manner.

Yes! Our Kubernetes training is available as “onsite live training” or “online live training”. Onsite live Kubernetes training classroom-style can be carried out locally on customer premises or in Web Age corporate training centers. Our live online Kubernetes training classroom is carried out by way of an interactive, remote desktop.

As a typical application would have a cluster of containers running across multiple hosts, all these containers would need to talk to each other. So, to do this you need something that would load balance, scale & monitor the containers. Since Kubernetes is cloud-agnostic and can run on any public/private providers it should be used to simplify containerized deployment.

• Automated scheduling: Kubernetes provides advanced scheduler to launch container on cluster nodes.
• Self-healing capabilities: Rescheduling, replacing, and restarting the containers that crash.
• Automated rollouts and rollback: Kubernetes supports rollouts and rollbacks for the desired state of the containerized application.
• Horizontal scaling and load balancing: Kubernetes has built-in Horizontal Pod Autoscheduler (HPA) that can scale out/in the application based on the load on the system.

A ConfigMap is an API object that lets you store configuration for other objects to use. Unlike most Kubernetes objects that have a spec, a ConfigMap has a data section to store items (keys) and their values. The name of a ConfigMap must be a valid DNS subdomain name.