Kubernetes + Docker Complete Course - 2 In 1 Hands On!

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Description

Description

This Kubernetes Docker Complete Course will help you to understand how to run, deploy and maintain your applications on Kubernetes. If you are into DevOps, then this is a technology you need to learn. Kubernetes has gained a lot of popularity lately and it is a well-aimed skill by companies.

The course will show you how to build apps in containers using docker and how to deploy it Kubernetes cluster. On the other hand,this Kubernetes Course will explain you how to set up your Kubernetes cluster on your desktop, or on the cloud using AWS.

What is Kubernetes?

Kubernetes is an open-source container orchestration technology system .Kubernetes is mainly used for automating deploym…

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Description

This Kubernetes Docker Complete Course will help you to understand how to run, deploy and maintain your applications on Kubernetes. If you are into DevOps, then this is a technology you need to learn. Kubernetes has gained a lot of popularity lately and it is a well-aimed skill by companies.

The course will show you how to build apps in containers using docker and how to deploy it Kubernetes cluster. On the other hand,this Kubernetes Course will explain you how to set up your Kubernetes cluster on your desktop, or on the cloud using AWS.

What is Kubernetes?

Kubernetes is an open-source container orchestration technology system .Kubernetes is mainly used for automating deployment, scaling and management of containerized applications.

Kubernetes was originally designed by Google and then open sourced.And from then to now Kubernetes is maintained by the Cloud Native Computing Foundation.

Kubernetes aims to provide a "platform for automating deployment, scaling, and operations of application containers across clusters of hosts It works with a range of container tools, including Docker.

Here are some advantages of Kubernetes

Firstly Kubernetes does not limit the types of applications supported. Moreover, Kubernetes aims to support an extremely diverse variety of workloads, including stateless and stateful even data-processing workloads. Thatswhy If an application can run in a container, it should run great on Kubernetes.

Kubernetes never deploy source code and does not build your application. Continuous Integration, Delivery, and Deployment (CI/CD) workflows are determined by organization cultures and preferences as well as technical requirements.

Kubernetes does not provide application-level services, such as middleware (e.g., message buses), data-processing frameworks (for example, Spark), databases like MySQL, caches as built-in services. Such components can run on Kubernetes, and/or can be accessed by applications running on Kubernetes through portable mechanisms, such as the Open Service Broker.

Kubernetes never dictate logging, monitoring, or alerting solutions. It provides some integrations as proof of concept, and mechanisms to collect and export metrics.

Kubernetes does not also provide nor mandate a configuration language/system (e.g., jsonnet). It provides a declarative API that may be targeted by arbitrary forms of declarative specifications.

Kubernetes never provide nor adopt any comprehensive machine configuration, maintenance, management, or self-healing systems.

Though Kubernetes is not a mere orchestration system. In fact,kubernetes eliminates the need for orchestration. In contrast, Kubernetes is comprised of a set of independent, composable control processes.Kubernetes also drive the current state continuously towards the provided desired state.

What is Kubernetes for ?

Kubernetes is an open source system for managing containerized applications across multiple hosts, providing basic mechanisms for deployment, maintenance, and scaling of applications.In short, Kubernetes is a container orchestration tool from Google.

How Does Kubernetes work?

Kubernetes can mainly defines as a set of building blocks.Kubernetes collectively provides mechanisms that deploy, maintain and scale applications. Kubernetes is loosely coupled and extensible to meet different workloads. This extensibility is provided in large part by the Kubernetes API, which is used by internal components as well as extensions and containers that run on Kubernetes

There are some key components which are widely used is Kuberntes are

  • Pods
  • Labels and selectors
  • Controllers
  • Services

What is the pod in Kubernetes

A Kubernetes pod is a group of containers. Pods can be deployed together on the same host. If you frequently deploy single containers, you can generally replace the word "pod" with "container" and accurately understand the concept.

Pods operate at one level higher than individual containers because it's very common to have a group of containers work together to produce an artifact or process a set of work.

For example, consider this pair of containers: a caching server and a cache "warmer". You could build these two functions into a single container, but now they can each be tailored to the specific task and shared between different projects.

What is labels and selectors in Kubernetes?

Labels and selectors are the primary grouping mechanism in Kubernetes and determine the components an operation applies to.

Labels are key-value pairs that are attached to Kubernetes objects, such as Pods. They are intended to be used to specify object attributes which are meaningful and relevant to users, while not directly impacting implying semantics of the core system.

Unlike names and UIDs, labels in Kubernetes do not provide uniqueness. In general, we expect many objects to carry the same label(s).

Via a label selector, the client/user can identify a set of objects. The label selector is the core grouping primitive in Kubernetes.

The API currently supports two types of selectors: equality-based and set-based. A label selector can be made of multiple requirements which are comma-separated. In the case of multiple requirements, all must be satisfied so the comma separator acts as a logical AND (&&) operator.

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