Tamil What is Kubernetes Volume | Storage Volumes In Kubernetes | InterviewDOT
Channel: Interview DOT
Date: 2020-01-18

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Tamil What is Kubernetes Volume | Storage Volumes In Kubernetes | Types of Kubernetes Volumes | InterviewDOT
When you deploy a pod to the cluster, this pod may need to store data in files. Think of how a web server logs requests and errors to log files (for example, Apache uses the access.log and error.log files for this purpose). However, like pods, this storage is temporary. When the kubelet restarts the pod, or if you intentionally deleted and recreated the pod, any files created during the pod’s lifetime are automatically lost. Sometimes you don’t need any different behavior, and you are OK with losing the pod’s temporary files upon restart. However, some other times, you need to retain those files in subsequent pod restarts or even when the pod gets scheduled to a different node. To address this requirement, you must use a Kubernetes Volume.

A Volume is just a directory on a disk that is accessible to the containers inside a pod. Because Kubernetes was designed from the very start to work on multiple platforms and different hardware providers, there are many types of volumes that Kubernetes supports. Choosing the suitable volume type depends on the kind of environment you’re deploying the cluster at. A volume is attached to the pod, and all the containers inside this pod have access to the volume. This way, you can share data between different containers running on the same pod.


Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.

Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available.

The name Kubernetes originates from Greek, meaning helmsman or pilot. Google open-sourced the Kubernetes project in 2014. Kubernetes builds upon a decade and a half of experience that Google has with running production workloads at scale, combined with best-of-breed ideas and practices from the community.

Containers have become popular because they provide extra benefits, such as:

Agile application creation and deployment: increased ease and efficiency of container image creation compared to VM image use.
Continuous development, integration, and deployment: provides for reliable and frequent container image build and deployment with quick and easy rollbacks (due to image immutability).
Dev and Ops separation of concerns: create application container images at build/release time rather than deployment time, thereby decoupling applications from infrastructure.
Observability not only surfaces OS-level information and metrics, but also application health and other signals.
Environmental consistency across development, testing, and production: Runs the same on a laptop as it does in the cloud.
Cloud and OS distribution portability: Runs on Ubuntu, RHEL, CoreOS, on-prem, Google Kubernetes Engine, and anywhere else.
Application-centric management: Raises the level of abstraction from running an OS on virtual hardware to running an application on an OS using logical resources.
Loosely coupled, distributed, elastic, liberated micro-services: applications are broken into smaller, independent pieces and can be deployed and managed dynamically – not a monolithic stack running on one big single-purpose machine.
Resource isolation: predictable application performance.
Resource utilization: high efficiency and density.

Why you need Kubernetes and what can it do
Containers are a good way to bundle and run your applications. In a production environment, you need to manage the containers that run the applications and ensure that there is no downtime. For example, if a container goes down, another container needs to start. Wouldn’t it be easier if this behavior was handled by a system?

That’s how Kubernetes comes to the rescue! Kubernetes provides you with a framework to run distributed systems resiliently. It takes care of scaling and failover for your application, provides deployment patterns, and more. For example, Kubernetes can easily manage a canary deployment for your system.

Kubernetes provides you with:

Service discovery and load balancing
Kubernetes can expose a container using the DNS name or using their own IP address. If traffic to a container is high, Kubernetes is able to load balance and distribute the network traffic so that the deployment is stable.
Storage orchestration