<\/span><\/h2>\n\n\n\nWhile comparing Kubernetes and Docker, it is essential to bring out the Docker Swarm vs. Kubernetes difference as well.<\/p>\n\n\n\nBasis<\/th> Kubernetes<\/th> Docker Swarm<\/th><\/tr><\/thead> Applications<\/td> These can be deployed as a combination of services, deployments, and pods.<\/td> These can be deployed as services.<\/td><\/tr> Knowledge of language <\/td> It requires a knowledge of Command Line Interface (CLI) over and above Docker.<\/td> Being a Docker tool, knowledge of any additional language is not required.<\/td><\/tr> Speed and scalability<\/td> It offers slow scaling.<\/td> It offers rapid scaling.<\/td><\/tr> Installation<\/td> It is difficult to install.<\/td> It is extremely easy to install.<\/td><\/tr> Monitoring<\/td> It supports several versions.<\/td> It supports monitoring over 3rd-party applications only.<\/td><\/tr> Flexibility<\/td> It offers less flexibility.<\/td> It offers more flexibility.<\/td><\/tr> Network<\/td> It features a flat network for the communication of pods. <\/td> It features an overlay network.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<\/span>Considering Kubernetes vs. Docker Compose Differences<\/span><\/h2>\n\n\n\nA Docker compose vs. Kubernetes comparison is also essential to clear out the confusion between Kubernetes and Docker.<\/p>\n\n\n\nBasis<\/th> Kubernetes<\/th> Docker Compose<\/th><\/tr><\/thead> Working<\/td> It runs on multiple servers.<\/td> All containers run on a single host machine.<\/td><\/tr> Purpose<\/td> It is an orchestration system that handles scheduling onto nodes.<\/td> It converts a multi-container application to a single command.<\/td><\/tr> Ease of use<\/td> It comes with a steep learning curve.<\/td> It is easy to set-up.<\/td><\/tr> Flexibility<\/td> It is not tied to a single machine.<\/td> It is tied to a single machine.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<\/span>Kubernetes vs. Docker Pros and Cons<\/span><\/h2>\n\n\n\n<\/span>Pros of Kubernetes<\/span><\/h3>\n\n\n\nIt offers easy organization via pods.<\/li> The tool features a wide variety of storage options.<\/li> It has the backing of Google.<\/li> It works on the principle of immutable infrastructure.<\/li> There is a large community behind this tool.<\/li> It is open-source.<\/li><\/ul>\n\n\n\n<\/span>Cons of Kubernetes<\/span><\/h3>\n\n\n\nIt involves a complicated installation process.<\/li> It offers limited functionality as compared to the Docker API.<\/li> It involves complex manual cluster deployment.<\/li> The migration procedure is difficult.<\/li><\/ul>\n\n\n\n<\/span>Pros of Docker<\/span><\/h3>\n\n\n\nIt is easy to set up.<\/li> It allows a detailed description of the application lifecycle.<\/li> Integration with existing Docker tools is easy.<\/li> It helps an app run in a quick-paced environment.<\/li> It enables the developer to track his container versions for catching any discrepancies.<\/li> Supported documentation provides useful information.<\/li> It provides effective isolation of applications.<\/li> It is open-source.<\/li><\/ul>\n\n\n\n<\/span>Cons of Docker<\/span><\/h3>\n\n\n\nIt does not offer proper monitoring.<\/li> It lacks storage options.<\/li> The tool involves complex horizontal scaling.<\/li> It does not offer automatic rescheduling of inactive nodes.<\/li> Support from additional tools is needed for handling various production aspects.<\/li><\/ul>\n\n\n\n<\/span>How Is Kubernetes Different From Docker?<\/span><\/h2>\n\n\n\nDocker is a complete software that allows you to run containerized applications with ease, whereas Kubernetes can be called a container orchestrator for several container platforms, including Docker.<\/p>\n\n\n\n
<\/span>Does Kubernetes Need Docker?<\/span><\/h2>\n\n\n\nNo, Kubernetes does not need Docker to carry out its operations.<\/p>\n\n\n\n
<\/span>Can Kubernetes Run Without Docker?<\/span><\/h2>\n\n\n\nIt can run without Docker as it is an open-source container management software.<\/p>\n\n\n\n
<\/span>Is Docker a VM?<\/span><\/h2>\n\n\n\nNo, Docker is not a VM. Docker is much easier to work with and has several distinct features that deliver much more value than a Virtual Machine. A Docker uses much fewer resources than a VM and works faster due to lightweight containers. <\/p>\n\n\n\n
<\/span>Is Kubernetes a PaaS?<\/span><\/h2>\n\n\n\nNo, Kubernetes is not a PaaS at all. The traditional Platform as a Service system operates at the hardware level, whereas Kubernetes functions at the container level. Kubernetes, however, does offer some generally applicable features that are available in the PaaS system.<\/p>\n\n\n\n
<\/span>Is Docker IaaS or PaaS?<\/span><\/h2>\n\n\n\nDocker is neither an IaaS or PaaS. It is not as flexible as IaaS. When Docker is combined with an IaaS, the benefits of PaaS can be extracted without getting any limitations along with it. This helps in improving a developer\u2019s overall experience. <\/p>\n\n\n\n
For PaaS, Docker is just an enabler and used as building blocks for the PaaS system.<\/p>\n\n\n\n
<\/span>Why is Docker so popular? <\/span><\/h2>\n\n\n\nDocker is popular as it has revolutionized the development of apps by making it possible to run several apps on the same server. With shared hardware systems, it offers excellent economies of scale.<\/p>\n\n\n\n
<\/span>Kubernetes vs. Docker Comparison Table<\/span><\/h2>\n\n\n\nBasis<\/th> Kubernetes<\/th> Docker<\/th><\/tr><\/thead> Scaling<\/td> It offers auto-scaling.<\/td> It does not offer auto-scaling.<\/td><\/tr> Installation<\/td> It is difficult to install.<\/td> It is easy to install.<\/td><\/tr> Load-balancing<\/td> Load-balancing settings need to be configured manually.<\/td> It performs automatic load-balancing.<\/td><\/tr> Developer<\/td> It is developed by Google.<\/td> It is developed by Docker Inc.<\/td><\/tr> Logging and monitoring<\/td> It offers an in-built tool.<\/td> It does not offer an in-built tool.<\/td><\/tr> Scalability<\/td> Scaling up is slow.<\/td> Scaling up is fast.<\/td><\/tr> Tolerance ratio<\/td> It has low fault tolerance. <\/td> It has a high fault tolerance.<\/td><\/tr> Optimization<\/td> It is optimized for numerous small clusters.<\/td> It is optimized for a single large cluster.<\/td><\/tr> Customization<\/td> It offers more customization.<\/td> It offers relatively less customization.<\/td><\/tr> Sharing data volume<\/td> It shares data volume with any container.<\/td> It shares data volume only with the containers in the same pod.<\/td><\/tr> Extensiveness<\/td> It is more comprehensive.<\/td> It is less extensive.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<\/span>Comparison Chart<\/span><\/h2>\n\n\n\n<\/span>Comparison Video<\/span><\/h2>\n\n\n\n