{"id":330,"date":"2018-05-08T11:41:46","date_gmt":"2018-05-08T06:11:46","guid":{"rendered":"http:\/\/www.urolime.com\/blogs\/in\/?p=330"},"modified":"2021-09-21T13:38:25","modified_gmt":"2021-09-21T08:08:25","slug":"container-wars-kubernetes-vs-docker-part-2","status":"publish","type":"post","link":"https:\/\/www.urolime.com\/blogs\/in\/container-wars-kubernetes-vs-docker-part-2\/","title":{"rendered":"Container Wars – Kubernetes vs Docker – Part 2"},"content":{"rendered":"

Why Use Docker?<\/strong><\/p>\n

Docker<\/a> lets DevOps engineers create and deploy software within containers. Docker is an open source containerization solution with which DevOps engineers can build, ship, and run any application, almost on any environment. With Docker, DevOps engineers can create a Dockerfile. With this file, they have the process of building an application, run the application, and can ship the application to any environment. The application is created as an image of the application with all the features of the application and behaves as a standalone established application. Even if the image is being executed in a laptop, the DevOps engineers can change the environment to such as cloud or a server to get a dedicated idea how the application will behave in different environments. Docker also comes with Docker Hub, a cloud-based repository something along the lines of GitHub. DevOps engineers can use this feature to create, distribute and store container images. \u00a0\u00a0<\/span><\/p>\n

Why Use Kubernetes?<\/strong><\/p>\n

Once DevOps engineers have created images with Docker, but Docker does not have the ability to execute images across multiple machines. To allow multiple machines to execute multiple images, a lot of new information needs to be added. The timing of different containers with respect to when to start and stop. How the images should communicate with each other. How to handle unexpected errors, software and hardware failures and how storage space will consolidate within every active container.<\/span><\/p>\n

To get everything written above, DevOps engineers needs microservices, a bunch of them. This is where Kubernetes comes to save the day. Kubernetes comes bundled with microservices which can run containers in different machines, scale up and down the container, distribute load between containers, balancing storage space among containers and more. \u00a0\u00a0<\/span><\/p>\n

Docker with Kubernetes<\/strong><\/p>\n

As mentioned in the previous blog, Docker and Kubernetes cannot be competitors as they work at different levels and cater to completely different needs. Kubernetes has the ability to integrate with the Docker to coordinate the execution of Docker containers on Kubelets.<\/span><\/p>\n

While Docker executes containers, Kubernetes allows the DevOps engineers to maximize their leverage with Dockers. Docker and Kubernetes, when used together are great tools for creating modern cloud applications.<\/span><\/p>\n

About Us<\/strong><\/p>\n

Urolime is one of the leading DevOps consulting company with\u00a0a handful<\/span>\u00a0of experience in supporting customers around the globe in adopting DevOps practices. As an AWS and Cloud consulting partner, Urolime not only\u00a0has<\/span>\u00a0experience in Cloud\u00a0Migrations<\/span>\u00a0but also\u00a0support\u00a0the\u00a0vast customer base to\u00a0enable\u00a0scalable and highly available architecture on AWS, Azure,\u00a0and<\/span>\u00a0GCP. The customers\u00a0benefit<\/span>\u00a0from\u00a0our\u00a0expert<\/span>\u00a0involvement in Deployment Automation (CI\/CD), Infrastructure Automation, Dockerization, Security, Disaster Recovery Planning & Implementation and\u00a024\/7 Managed Services\u00a0with 10 Minutes SLA. Urolime is one of the companies\u00a0which\u00a0deals<\/span>\u00a0with a\u00a0bunch\u00a0of Kubernetes solution<\/a> build for\u00a0the\u00a0customer on AWS, Azure,\u00a0and<\/span>\u00a0GCP.<\/p>\n

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Why Use Docker? Docker lets DevOps engineers create and deploy software within containers. Docker is an open source containerization solution with which DevOps engineers can build, ship, and run any application, almost on any environment. With Docker, DevOps engineers can create a Dockerfile. With this file, they have the process of building an application, run […]<\/p>\n

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<\/div>\n","protected":false},"author":1,"featured_media":321,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","sfsi_plus_gutenberg_text_before_share":"","sfsi_plus_gutenberg_show_text_before_share":"","sfsi_plus_gutenberg_icon_type":"","sfsi_plus_gutenberg_icon_alignemt":"","sfsi_plus_gutenburg_max_per_row":"","footnotes":""},"categories":[36],"tags":[],"class_list":["post-330","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kubernetes"],"yoast_head":"\nContainer Wars - Kubernetes vs Docker - Part 2<\/title>\n<meta name=\"description\" content=\"While Docker executes containers, Kubernetes allows the DevOps engineers to maximize their leverage with Dockers. 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