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The focus lies on the _frontend_ and [_graphql_](https://graphql.org/learn/) level. But explorations regarding [_microservices_](https://en.wikipedia.org/wiki/Microservices) implementation and architecture will be investigated. Every decision and implementation will be highly opinionated of my own opinions. Where the goal is to have a stack that is easy to: build upon, maintain and fun to work with.\n\n## Development\n\nDevelopment of the services in _p11k_ is done through [docker-compose](https://docs.docker.com/compose/) and custom made [shell scripts](https://en.wikipedia.org/wiki/Shell_script). Running `yarn dev` in any service folder starts the given service and all its dependencies.\n\n### Requirements\n\n- `docker`: [Installation instructions.](https://docs.docker.com/compose/install/)\n- `yarn`: [Installation instructions.](https://yarnpkg.com/lang/en/docs/install/)\n- `yq`: [Installation instructions.](https://yq.readthedocs.io/en/latest/)\n\n### Install\n\nDo the following steps after the first time cloning the repo or after a clean install.\n\n1. Run `cp sample.npmrc .npmrc` and change `${GITHUB_TOKEN}` to your [GitHub token](https://github.com/settings/tokens).\n1. Run `yarn`\n1. Run `yarn lerna:bootstrap`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffredrikkadolfsson%2Fp11k","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffredrikkadolfsson%2Fp11k","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffredrikkadolfsson%2Fp11k/lists"}