Managing Linux Containers across various Cloud Platforms through Google’s Kubernetes

First let us know about Linux containers before plunging into the details of Google’s Kubernetes. Linux containers based on Linux technology acts as virtual servers for performing various activities through isolation. Suppose you have plethora of applications to run and you cannot risk over loading your server, then Linux container comes into picture. Through having this container you can have an effortless development process.

Whether it is the deployment or development of random application, Linux container provides the privilege of isolation to ensure a smoother progression. LXC is having a major role in providing isolation; it systematically avoids overhead to avoid performance degradation. On the downside LXC is not compatible with Windows or Mac. Isolation offered by LXC is not limited to just a single environment, as it succeeds to provide the same under mounting file systems, user IDs, networking and process trees.

Now group of such servers is known as clusters and these acts as single system to support robust business requirements. Maintenance of these is not an easy task; mission critical data or applications require continuous backing, which only these platforms can provide. Again server maintenance is not an elementary activity, it needs a strategic approach.

Kubernetes, Google’s New Open Source System

Troubleshooting containers or rather it would be good if we say clusters needs a dynamic approach. Google’s Kubernetes is succeeding efficiently in providing that through various cloud environments. Suppose a cluster needs some deployment, the complexity involved will be in a very high grade. This is because each cluster will have numerous servers supported by various hosting solutions. A slight configuration for scalability or load balancing within these is truly a strong move.

Cloud Based Business

Cloud orchestrator, a program is mostly used to foresee the intra and intercommunication among cloud-based environments. Through this process it is easier to establish connection between various applications and the users. Now, shifting our discussion to Kubernetes, this system contains tool for performing orchestration. So, any changes required within a cloud-based environment or if a migration is to be performed, then it can be achieved without any code change.

Let’s see about the features that is making Kubernetes more reliable and powerful. Here are few key elements of this system,

• Master Node-The process of orchestration is controlled through this node. Also, it runs the APIs and manages the actions.
• Label- Also known as key-value pair, these labels are to be attached between API and internal components for future issues.
• Controller- Pod is a smallest unit issued for certain set of containers. The job of these controllers is to monitor the performance of assigned pods.
• Service-If a spike in load appears it needs parallel balancing. This action is efficiently performed by an automatically configured load balancer.

Virtual technology is gaining momentum, but it is also necessary that developers should manage them efficiently. Docker Swarm is another tool which offers same functionalities as that of Kubernetes but for native clusters. On the whole, Google has made data management more resilient through Kubernetes, an open source management system.