Organizations today often struggle to balance business requirements with ever-increasing volumes of data. Additionally, the demand for leveraging large-scale, real-time data is growing rapidly among the most competitive digital industries. Conventional system architectures may not be up to the task.
BUILD YOUR MICROSERVICES: Deploying tracker, Mongo service, Evolutionary patterns leveraging organizational data, Management cluster
β Scribed by Aharen -san
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No coin nor oath required. For personal study only.
β¦ Synopsis
We're going to have a look at orchestration systems and we're going to see what they can do for you.
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βAnd this course is concentrating on Kubernetes, which is just one example of a container orchestration system. I guess the first thing to learn is I couldn't fit the phrase Orchestration with Kubernetes onto this title slide, so you'll find it's commonly abbreviated to K8S, with eight just being the number of letters that we've skipped.Β
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βAnyway, it stands for Kubernetes and we're looking here at orchestration systems. Containers have become a very popular way of deploying systems in the last few years, and by far the most popular containerization system is Docker.Β
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βA very hot topic, and if you're new to Docker and you don't know what it is, then don't worry, there is a section on this Project, coming up where we'll review the basics of Docker, which will be enough for you to get by on the course.Β
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βAnd Docker is great. The idea that we can deploy individual parts of the system's containers and get some guarantee that the Docker containers will run in an identical environment. But if you're going to be deploying a nontrivial system, like a microservice architecture, then your next problem is you're going to have a lot of Docker containers to manage. In fact, too many to manage.
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