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Migration Of Application Workloads To Containers Using Docker And Kubernetes

Open Source For You

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April 2019

Containers present an easy way of deploying traditional applications, cutting-edge microservices and Big Data apps anywhere. In enterprises in which a large number of Docker pods may be in use, Kubernetes is one of the best orchestration tools to choose. Migrating application workloads to containers has many advantages for enterprises, such as profitability, scalability and security.

Migration Of Application Workloads To Containers Using Docker And Kubernetes

It was only a matter of time before containers changed the way enterprise cloud infrastructure was built and packaged. Containers have promoted and supported the concept of modularity, allowing applications and software to be independent of their life cycles. They’re now used intensively with cloud orchestration and are therefore increasingly critical for enterprises looking to scale up and succeed with their cloud infrastructure.

Cloud orchestration

Orchestration refers to the process of automating the deployment of containers, which optimises applications. Container orchestration is imperative to manage the life cycles of containers in large environments. The most popular container orchestration tools today are Kubernetes, Marathon for Mesos and Docker Swarm. The configuration files point to the container images and establish networking between containers. These files are branched so that they can deploy the same applications across various environments, after which they are deployed to the production clusters.

Business advantages of the migration The main reason for businesses to migrate to containers is that they offer a cost advantage. This is accomplished through a number of avenues.

Lower development costs: Containers are portable and platform-independent, which eliminates the need to modify modules to make them compatible across various environments. This makes organisations more flexible, speeding up the development process.

Better security: Since containers do not interact with each other, there are no security risks involved with any module crashing.

Smooth scaling: Containers allow horizontal scaling. This allows you to run the containers you need in real-time, reducing your costs drastically.

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