31 Mar Towards Containerisation, Docker and Kubernetes
In hardware, all the circuits are set on a single die.
In software, all the aspects of development, deployment, and other processes are interwoven to form a single vertical unit.
Why have these become obsolete in comparison to containers?
- You won’t find components for the oven-sized CPUs anymore
- Problems in connecting to the server/network issues
- The success of an application is not equal to ‘Ping Localhost’
- Language and framework compatibility issues
- A new generation of sophisticated middleware
- Extreme hikes and lows in requests due to changing demographics
- Too much interdependence of components
- Difficult to edit/update portions of the application
- Paying for what you are not using
- Zero flexibility in scaling
- Loading burden of the entire VM even to access its minute applications.
A container sits on the host OS and uses its kernel. So, this saves the use of an additional layer of the hypervisor, which, in turn, saves the cost of additional machines. Furthermore, you can easily move the containers to other machines.
How to work on it?
You can work on the separate components of the application separately and save its image/container. This little segment will be an executable code that you can run independently. You will need an orchestrator to manage these containers.
- Workable with different languages and libraries
- You don’t need to pile up OS to build an application
- It can run on any computer and any OS
- You can run many containers or components simultaneously
- You can also run it on virtual machines
- Continuous integration and delivery workflows
Just like Docker and Kubernetes, it is also a container orchestration tool but with several different features.
- You group together containers that must have a shared context, called pods.
- A node manages the behavior of pods under its services.
- A master node manages the behavior of the nodes.
- Each facet is isolated, yet, co-located.
- It offers extreme transparency and resource monitoring.
- You can automate the co-dependency to designated facets. (it also has defaults)
- You can finely allocate the capacity for pods.
- Infinitely scalable.
- Automated rolls, re-schedules, health-checks, load-balancing, etc.
- Lightweight even when dealing with heavy applications simultaneously.
- Easy to update versions without damages to older versions.
- A layered approach to development and deployment.
Other container orchestration tools
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