Service: A service is an image of a microservice, such as web or database servers.Worker Node: Worker nodes are instances of Docker Engine responsible for running applications in containers.Manager Nodes can also optionally run services for Worker nodes. Manager Node: Manager nodes distribute and schedule incoming tasks onto the Worker nodes and maintains the cluster state.Swarm: A cluster of Docker Engine instances.Node: A node is a machine that runs an instance of Docker Engine.Docker Swarm architecture comprises two types of nodes called Managers and Workers.Д«elow are the common terminology used in the Docker Swarm ecosystem: Docker Swarm allows you to communicate directly with swarm instead of communicating with each Docker Engine individually. Persistent volumes help store container data more permanently.Дocker Swarm is an alternative, Docker-native Container Orchestration Engine that coordinates container placement and management among multiple Docker Engine hosts. Persistent Volume: Since the containers can join and leave the computing environment dynamically, local data storage can be volatile.Cluster: Several Nodes are connected to each other to form a cluster to pool resources that are shared by the applications deployed onto the cluster.A node can be a physical, bare metal machine or a virtual machine. Node: A node is the representation of a single machine in the cluster running Kubernetes applications.Group of containers can work together and share the resources to achieve the same goal.

Pods: Pods are the deployment units in Kubernetes ecosystem which contains one or more containers together on the same node.

Container: Containers are the units of packaging used to bundle application binaries together with their dependencies, configuration, framework, and libraries.

Some of the common terminology used within the Kubernetes ecosystem are: The Master node interacts with the Worker nodes that host the containerized applications. Users can interact with the Master node through the REST API, the web UI, and the command line interface (CLI). Kubernetes follows the traditional client-server type of architecture where the Master node has the global view of the cluster and is responsible for the decision making. Kubernetes allows you to handle various container orchestration related tasks such as scaling containers up or down, automatic failover, distributing workloads among containers hosted on different machines.

As the number of containers in a cluster increases to hundreds or thousands of instances, with application components deployed as separate containers, Kubernetes comes to the rescue by providing a framework for deployment, management, auto-scaling, high availability, and related tasks. Kubernetes is used to orchestrate fleets of containers representing instances of applications that are decoupled from the machines they run on. Kubernetes is an open-source, community-driven Container Orchestration Engine (COE) inspired by a Google project called Borg. This article will give you an overview of each container orchestrator and offer a comparison of Kubernetes vs Docker Swarm based on: Kubernetes and Docker Swarm are two famous, leading players in the container orchestration market and become the essential part of microservices of many enterprises. When the scale and complexity of production-critical containers rises, container orchestration tools come into the picture and become an indispensable part of enterprisesвЂ™ container management toolbox.

Moreover, research conducted by 451 Research predicts that the application container market will grow dramatically through 2020, which will continue to expand the number of containerized applications being deployed to the cloud. With the rise of containerization technology and increased attention from enterprises and technologists in general, more and more containerized applications have been deployed to the cloud.

2018 docker swarm vs kubernetes