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Hello and welcome to this lecture on Container Orchestration. 

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My name is Mumshad Mannambeth and we are learning

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Kubernetes for beginners. In this lecture,

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we will talk about Container Orchestration.

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So we learned about containers and we now have our application packaged into a Docker container.

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But what's next?

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How do you run it in production?

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What if your application relies on other containers such as databases or messaging services or other

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backend services?

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What if the number of users increase and you need to scale your application? How do you scale down when

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the load decreases? To enable these functionalities,

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you need an underlying platform with a set of resources and capabilities. The platform needs to orchestrate

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the connectivity between the containers and automatically scale up or down based on the load.

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This whole process of automatically deploying and managing containers is known as Container Orchestration.

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kubernetes is just a container orchestration technology.

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There are multiple such technologies available today.

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Docker has its own tool called Docker swarm,

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Kubernetes from Google and MESOS from Apache. While Docker Swarm is really easy to set up and get

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started,

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it lacks some of the advanced features required for complex applications.

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MESOS on the other hand is quite difficult to set up and get started, but supports many advanced

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features.

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Kubernetes arguably the most popular of it all,

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is a bit difficult to set up and get started by provides a lot of options to customize deployments

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and supports deployment of complex architectures.

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Kubernetes is now supported on all public cloud service providers like GCP, Azure and AWS and Kubernetes

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project is one of the top ranked projects in Github.

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There are various advantages of Container Orchestration.

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Your application is now highly available as hardware failures to not bring your application down because

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we have multiple instances of your application running on different nodes.

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The user traffic is load balanced across the various containers.

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When demand increases, deploy more instances of the applications seamlessly and within a matter of seconds.

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And we have the ability to do that at a service level when we run out of hardware resources,

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scale the number of underlying nodes up or down without having to take down the application and do all

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of these easily with a set of declarative object configuration files.

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And that is Kubernetes.

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It is a container orchestration technology used to orchestrate the deployment and management of hundreds

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and thousands of containers in a clustered environment.

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Don't worry if you didn't get all of what I just said. In the upcoming lectures, we will take deeper

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look at the architecture and various concepts surrounding Kubernetes.

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That is all for this lecture.

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Thank you for listening and I will see you in the next lecture.