by Prakarsh. Prakarsh handles DevOps at Devtron. He has experience in running TechOps and customer excellence for the B2B vertical of the staffing marketplace.

Kubernetes is a portable, extensible, open-source platform for managing containerized applications and services that facilitates both declarative configuration and automation. Kubernetes provides a platform to configure, automate, and manage:

  • Intelligent and balanced scheduling of containers
  • Creation, deletion, and movement of containers
  • Easy scaling of containers
  • Monitoring and self-healing abilities

Before Kubernetes, there were containers, which became popular because they simplified going from application development to deployment without worrying about portability or reproducibility. Developers can package an application and all its dependencies, libraries, and configuration files to execute the application into a container image. A container is a runnable instance of an image. Container images can be pulled from a registry and deployed anywhere the container runtime is installed: on your laptop, servers on-premises, or in the cloud.

Compared to virtual machines, containers have similar resources and isolation benefits but are lighter in weight because they virtualize the operating system instead of the hardware. Containers are more portable and efficient, take up less space, use far fewer system resources, and are spun up in seconds.

Managing containers for production is challenging. As the container market continued to grow and many workloads transitioned to fully production-grade containers, clear cluster admins needed something beyond a container engine. Key capabilities were missing, such as:

  • Using multiple containers with shared resources
  • Monitoring running containers
  • Handling dead containers
  • Moving containers, so utilization improves
  • Autoscaling container instances to handle the load
  • Making the container services easily accessible
  • Connecting containers to a variety of external data sources

Containers paved the way to build cloud-native systems, in which services are implemented using small clouds of containers. This created an enormous opportunity to add and adopt new services to make containers easier, faster, and far more productive. Since Google open-sourced it in 2014, Kubernetes has become the de-facto standard for container orchestration. Kubernetes leverages the power of containers while simplifying the management of services and machines in a cluster.

A Pod is a logical grouping of one or more containers scheduled together and share resources. Pods enable multiple containers to run on a host machine and share resources such as storage, networking, and container runtime information.

Kubernetes Clusters abstract their underlying computing resources, allowing users to deploy workloads to the entire cluster instead of a particular server. A Kubernetes cluster consists of at least one master node that manages the cluster and multiple worker nodes, where containerized applications run using Pods.

Kubernetes architecture enables:

  • A single administrator to manage thousands of containers running simultaneously
  • Workload portability and orchestration of containers across on-site deployments to public or private clouds and hybrid deployments in between

Devtron is redefining the paradigm of how #DevOps should be done. It automates #ReleaseOrchestration & Life Cycle Management of Applications on #Kubernetes.