Kubernetes vs Docker : Detailed Comparison 2021

Developed by Docker Inc Google Year of release 2013 2014 Scaling No Auto scaling Auto scaling Cluster Setup Setting up the cluster is challenging & complicated. Cluster Strength is stronger. Setting up the cluster is simple. Requires only two commands. Cluster Strength is not as strong. Installation Easy & fast Complicated & time-consuming. Data volume Shares storage volumes between multiple containers in the same Pod. Shares storage volumes with any other container. Support for logging and monitoring tool Allows you to use a 3rd party tool like ELK. It offers an in-built tool for logging and monitoring. Load balancing Does auto load-balancing Manually configure your load balancing settings Updates Agent update can be performed in place. A cluster can be upgraded in place. Optimized For Optimized for a single large cluster Optimized for multiple smaller clusters of SDLC Tolerance ratio High fault tolerance Low fault tolerance Node Support Supports 2000 > nodes Supports up to 5000 nodes Container Limit Limited to 95000 container Limited to 300000 containers Public cloud service provider Azure only Google, Azure, and AWS. Slave Worker Nodes Compatibility Less extensive and customizable More comprehensive and highly customizable. Community An active user base which regularly updates the software. Offers strong support from open source communities and big companies like Google, Amazon, Microsoft, and IBM. Large clusters Speed is considered for the strong cluster states. Offers container deployment and scaling, even in large clusters without considering the speed. Companies using Spotify, Pinterest, eBay, Twitter, etc. 9GAG, Intuit, Buffer, Evernote, etc. Github starts 53.8 k 54.1 k Github forks 15.5 k 18.7 k Application Deployment Applications can be used only as micro services in a swarm cluster. Multi containers are identified by utilizing YAML files. With the help of Docker Compose, the application can also be installed. Applications can be deployed in Kubernetes using a myriad of micro services, deployments, and pods. Scalability Docker Swarm can deploy containers much faster. Container scaling and deployment are therefore slowed down. Container Setup The Docker Swarm API offers much of the familiar functionality from Docker, supporting most of the tools that run with Docker. However, Swarm cannot be utilized if the Docker API is deficient in a particular operation. By utilizing its own YAML, API, and client definitions, Kubernetes differs from other standard Docker equivalents. Thus, Docker Compose or Docker CLI cannot be used to define containers. Also, YAML definitions and commands must be rewritten when switching platforms. Networking When a node joins a swarm cluster, it creates an overlay network for services for each host in the Docker swarm. This gives users a choice while encrypting the container data traffic to create its own overlay network. In Kubernetes, allowing all the pods to communicate with each other. Network policies are in place to define how the pods interact with one another. The network is implemented typically as an overlay, requiring two CIDRS for the services and the pods. Availability Docker also offers high availability architecture since all the services can be cloned in Swarm nodes. The Swarm manager Nodes manage the worker’s node resources and the whole cluster. Kubernetes offers significantly high availability as it distributes all the pods among the nodes. This is achieved by absorbing the failure of an application. Unhealthy pods are detected by load balancing services, which subsequently deactivate them. GUI Docker Swarm, alternatively, requires a third-party tool such as Portainer.io to manage the UI conveniently. Kubernetes has detailed dashboards to allow even non-technical users to control the clusters effectively.

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