{"id":22893454,"url":"https://github.com/kratochj/docker-advance-training-exercise","last_synced_at":"2025-05-07T19:12:08.479Z","repository":{"id":45505649,"uuid":"69877946","full_name":"kratochj/docker-advance-training-exercise","owner":"kratochj","description":"Materials for Docker Advanced training","archived":false,"fork":false,"pushed_at":"2023-03-03T08:26:18.000Z","size":740,"stargazers_count":16,"open_issues_count":5,"forks_count":7,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-05-07T19:12:00.827Z","etag":null,"topics":["cgroups","container-registry","docker","dockerfile","entrypoint","exercise","exercises"],"latest_commit_sha":null,"homepage":"http://www.datascript.cz/kurzy/open-source/docker-advanced/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kratochj.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-10-03T14:22:42.000Z","updated_at":"2025-01-29T04:43:45.000Z","dependencies_parsed_at":"2022-07-19T02:17:10.615Z","dependency_job_id":null,"html_url":"https://github.com/kratochj/docker-advance-training-exercise","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kratochj%2Fdocker-advance-training-exercise","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kratochj%2Fdocker-advance-training-exercise/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kratochj%2Fdocker-advance-training-exercise/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kratochj%2Fdocker-advance-training-exercise/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kratochj","download_url":"https://codeload.github.com/kratochj/docker-advance-training-exercise/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252940930,"owners_count":21828769,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cgroups","container-registry","docker","dockerfile","entrypoint","exercise","exercises"],"created_at":"2024-12-13T23:14:29.801Z","updated_at":"2025-05-07T19:12:08.448Z","avatar_url":"https://github.com/kratochj.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Docker - exercises\n\n  * [01 - Setup VMs running docker](01_getting_started.md)\n  * [02 - Dockerfile - CMD vs ENTRYPOINT](02_cmd_vs_entrypoint.md)\n  * [02(01) - Dockerfile - OS Signal handling](02_01_signal_handling/README.md)\n  * [03 - Dockerfile - Multistage build](03_multistage_build/README.md)\n  * [04 - Docker Compose](04_docker_compose.md)\n  * [05 - Production images](05_prod_images/README.md)\n  * [06 - Container registry](06_container_registry.md)\n  * [07 - CGroups](07_cgroups.md)\n  * [08 - Setup Swarm cluster](08_swarm.md)\n  * [09 - Setup Kubernetes cluster](09_kubernetes/README.md)\n  * [10 - Setup basic monitoring](10_monitoring/README.md)\n\n## Training prerequisites:\nTo be able to succesfully pass this course, you need to have a basic knowledge of Linux administration. Also it is important to have, a minor experience of at least one linux distribution of your choice (Centos, Debian, Ubuntu).\n\n### Technical requirements: \n* Before a begining of the training, please install Docker on your computer - here is the link: https://www.docker.com/products/docker-desktop/\n* You need to be able to connect with your computer to externeal resources such as [Docker Hub](https://hub.docker.com), SSH server outside of your network, and [GitHub](https://github.com)\n\nHere is, how you can check access to [Docker Hub](https://hub.docker.com): \nTry on your computer this:\n```\n$ docker pull hello-world\n```\nand you should be able to see something like this: \n```\nUsing default tag: latest\nlatest: Pulling from library/hello-world\n2db29710123e: Already exists\nDigest: sha256:6e8b6f026e0b9c419ea0fd02d3905dd0952ad1feea67543f525c73a0a790fefb\nStatus: Downloaded newer image for hello-world:latest\ndocker.io/library/hello-world:latest\n```\n\nAnd this is how you can check that your docker works properly: \n```\n$ docker run hello-world\n```\nThis is an expected result:\n```\nHello from Docker!\nThis message shows that your installation appears to be working correctly.\n\nTo generate this message, Docker took the following steps:\n 1. The Docker client contacted the Docker daemon.\n 2. The Docker daemon pulled the \"hello-world\" image from the Docker Hub.\n    (amd64)\n 3. The Docker daemon created a new container from that image which runs the\n    executable that produces the output you are currently reading.\n 4. The Docker daemon streamed that output to the Docker client, which sent it\n    to your terminal.\n\nTo try something more ambitious, you can run an Ubuntu container with:\n $ docker run -it ubuntu bash\n\nShare images, automate workflows, and more with a free Docker ID:\n https://hub.docker.com/\n\nFor more examples and ideas, visit:\n https://docs.docker.com/get-started/\n```\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkratochj%2Fdocker-advance-training-exercise","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkratochj%2Fdocker-advance-training-exercise","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkratochj%2Fdocker-advance-training-exercise/lists"}