Scalability Among Docker and Kubernetes

Hello Everyone, I am new here and I don’t know this is right place to ask this question. I am confused to choose between docker and kubernetes. I am confusing in terms of scalability and loading application. Can anyone know about the head to head comparison between them?

Features Kubernetes Docker Swarm
Installation & Cluster Configuration Installation is complicated; but once set up, the cluster is very strong Installation is very simple, but the cluster is not very strong
GUI GUI is the Kubernetes Dashboard There is no GUI
Scalability Highly scalable & scales fast Highly scalable & scales 5x faster than Kubernetes
Auto-Scaling Kubernetes can do auto-scaling Docker Swarm cannot do auto-scaling
Load Balancing Manual intervention needed for load balancing traffic between different containers in different Pods Docker Swarm does auto load balancing of traffic between containers in the cluster
Rolling Updates & Rollbacks Can deploy Rolling updates & does automatic Rollbacks Can deploy Rolling updates, but not automatic Rollbacks
Data Volumes Can share storage volumes only with other containers in the same Pod Can share storage volumes with any other container
Logging & Monitoring In-built tools for logging & monitoring 3rd party tools like ELK should be used for logging & monitoring

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Docker is what enables us to run, create and manage containers on a single operating system. Kubernetes allow you to automate container provisioning, networking, load-balancing, security and scaling across all these nodes from a single command line or dashboard.

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Hi,

Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker amongst others.

Google has been using container technology , starting over 2 billion containers per week. With Kubernetes ( Kubernetes Training ) it shares its container expertise creating an open platform to run containers at scale.

The project serves two purposes. Once you are using Docker containers the next question is how to scale and start containers across multiple Docker hosts, balancing the containers across them. It also adds a higher level API to define how containers are logically grouped, allowing to define pools of containers, load balancing and affinity.

Kubernetes is still at a very early stage, which translates to lots of changes going into the project, some fragile examples, and some cases for new features that need to be fleshed out, but the pace of development, and the support by other big companies in the space, is highly promising.
The Kubernetes architecture is defined by a master server and multiple minions. The command line tools connect to the API endpoint in the master, which manages and orchestrates all the minions, Docker hosts that receive the instructions from the master and run the containers.

  • Master: Server with the Kubernetes API service. Multi master configuration is on the roadmap.
  • Minion: Each of the multiple Docker hosts with the Kubelet service that receive orders from the master, and manages the host running containers.
  • Pod Defines a collection of containers tied together that are deployed in the same minion, for example a database and a web server container.
  • Replication controller Defines how many pods or containers need to be running. The containers are scheduled across multiple minions.
  • Service: A definition that allows discovery of services/ports published by containers, and external proxy communications. A service maps the ports of the containers running on pods across multiple minions to externally accesible ports.
  • kubecfg: The command-line client that connects to the master to administer Kubernetes.

Thanks and regards,
Lavanya Sreepada.