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Containerized Applications training course

7 November 2018

Containerized Applications - faster Development?

Containerized applications are becoming very popular and it’s easy to understand why. They provide so many benefits to organisations, especially when it comes to bringing new applications to market. Let’s look at some of the benefits here, using Docker and Kubernetes as examples.   

Faster development
Docker containers package up software and its dependencies into self-contained units that contain everything it needs to run (code, runtime, systems tools, system libraries and settings). This guarantees that the application will always run consistently and reliably – no matter what computing environment it’s in.

This immediately saves time in the software development process because you don’t need to set up development environments, or make copies of production code to run locally. You just develop your application in a container, test it there in its runtime environment and then deploy it. You don’t need to worry about application conflicts, environment inconsistencies or ‘it works on my machine’ discussions.

Containers also speed up software delivery by enabling concurrent development. They make it easier to break large application development projects into smaller chunks, which can be worked on by separate teams at the same time. This can significantly shorten overall development times.

Easier deployment
Containerization also leads to easier deployment. You can scale up easily by just adding more containers onto your existing infrastructure. The containers are very portable, and can be deployed on different systems and clouds (as long as they have the same OS) without requiring code changes. That obviously increases your flexibility and lets you use more of your existing infrastructure.

Programmes are available too to help you deploy, scale and manage your containerized applications. Kubernetes, for example, is a container-orchestration system that builds on years of Google’s experience in managing containerized applications.

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Containerization can also improve your IT operational efficiency. By letting you deploy and run applications without requiring a separate VM for each app, it uses fewer resources (memory, storage and CPU) than traditional virtualization. This saves your organisation money.

Who uses containerized applications?

With all these benefits, it’s no wonder that container technology is used in a range of industries to develop and roll out applications. Here are some examples:

  • Insurance – many companies in this sector are keen to develop new apps for customers and agents. They also want to modernise legacy applications and reduce the costs of managing them.
  • Financial Services – another sector where companies need to develop and deploy new apps for customers and associates, and upgrade existing apps. Security and compliance are key factors in the industry.
  • Healthcare and Pharmaceuticals – companies here want to engage more with patients and improve the quality of their care. They see containerized apps as a way to speed up application delivery and bring new services to market.
  • Government – government agencies are keen to modernise their engagement with citizens and their legacy applications. They want to do this quickly and cost effectively, while meeting compliance and regulatory requirements.

Here at JBI Training, we provide a range of Cloud and DevOps training courses including:

Kubernetes training course (2 days) where you learn to use Kubernetes for automating the deployment, scaling and management of containerized applications

See ourDocker training course (2 days) where you learn to build, ship and run distributed applications using Docker – See our

Microservices Architecture training course (2 days) where you learn to build scalable, highly available and easily maintainable applications – See our Microservices Architecture training course outline  




About the author: Craig Hartzel
Craig is a self-confessed geek who loves to play with and write about technology. Craig's especially interested in systems relating to e-commerce, automation, AI and Analytics.

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