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        "author": "Pasi Niemi",
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        "description": "# Nameless Deploy Tools\n[![Build Status](https://api.travis-ci.com/NitorCreations/nameless-deploy-tools.svg?branch=master)](https://app.travis-ci.com/github/NitorCreations/nameless-deploy-tools/)\n[![Coverage Status](https://coveralls.io/repos/github/NitorCreations/nameless-deploy-tools/badge.svg?branch=master)](https://coveralls.io/github/NitorCreations/nameless-deploy-tools?branch=master)\n\n## Released version 1.264\n\nNameless deploy tools are a set of tools to implement a true Infrastructure As Code workflow\nwith various cloud infrastructure management tools. Currently supported tools are\nCloudFormation, AWS CDK, Serverless Framework, Terraform, Azure Resource Manager (with\na YAML syntax) and Bicep.\n\n## Why Nameless?\n\nA common analogy for cloud infrastructure has been to move from having pets with\nnames that need lots of looking after, to cattle that has at most id's. It's time\nto move to the industrial age from the agrarian era. The infrastructure our\napplications runs now comes and goes and we know at most some statistical information\nabout the actual executions. Run times, memory usage, used bandwidth and the like.\nWe no longer know even the id's of the things that actually run the code. Hence -\nnameless.\n\n## Rationale\n\nWe at Nitor are software engineers with mostly a developer or architect background, but\na lot of us have had to work closely with various Operations teams around the world.\nDevOps has a natural appeal to us and immediately \"infrastructure as code\" meant for us\nthat we should apply the best development practices to infrastructure development. It starts\nwith version control and continues with testing new features in isolation and a workflow\nthat supports this. Our teams usually take into use a feature branch workflow if it is\nfeasible and we expect all of the tools and practices to support this. For infrastructure\nthis type of branching means that you should be able to spin up enough of the infrastructure\nto be able to verify the changes you want to implement in production. Also the testing\nenvironment should be close enough to the target environment for the results to be valid.\nSo the differences between testing and production environments should be minimized and\nreviewable.\n\nWith the popular tools like Ansible, Terraform, Chef etc. you need to come up with and\nimplement the ways to achieve the goals above. As far as I know, no tool besides ndt\nhas at it's core a thought-out way of a branching infrastructure development model.\n\n## What it is\n\nnameless-deploy-tools works by defining _Amazon Machine Images_, _[Docker containers](https://www.docker.com)_,\n_[Serverless services](https://serverless.com)_ and deploying _[CloudFormation](https://aws.amazon.com/cloudformation/)\nstacks_ of resources. CloudFormation stacks can also be defined with _[AWS CDK](https://awslabs.github.io/aws-cdk/)_ \napplications. All of the above can also be deployed using _[Terraform](https://www.terraform.io)_.\n\n## Installation\n\n```\npip install nameless-deploy-tools\n```\nOn OSX you may need to add `--ignore-installed` to get around platform installed versions\nof `six` and other packages.\n\n## Getting started\n\nTo use nameless-deploy-tools you need to set up a _project repository_ that\ndescribes the images you want to build, and the stacks you want to deploy them in. See\n[ndt-project-template](https://github.com/NitorCreations/ndt-project-template)\nfor an example.\n\nHere are few commands you can use. All of these are run in your project repository root.\nYou need to have AWS credentials for command line access set up.\n\n* To bake a new version of an image: `ndt bake-image <image-name>`\n* To build a new Docker container image `ndt bake-docker <component> <docker-name>`\n* To deploy a stack:\n  * with a known AMI id: `ndt deploy-stack <image-name> <stack-name> <AMI-id>`\n  * with the newest AMI id by a given bake job: `ndt deploy-stack <image-name> <stack-name> \"\" <bake-job-name>`\n* To undeploy a stack: `ndt undeploy-stack <image-name> <stack-name>`\n\nFor full list of commands see [here](docs/commands.md)\n\n## Documentation\n\n- [Command Reference](docs/commands.md)\n- [ndt workspace tooling](docs/workspace.md)\n- [Template Pre-Processing](docs/template-processing.md)\n- [Multifactor Authentication](docs/mfa.md)\n- [Common parameters](docs/parameters.md)\n\n## Versioning\n\nThis library uses a simplified semantic versioning scheme: major version change for changes\nthat are not backwards compatible (not expecting these) and the minor\nversion for all backwards compatible changes. We won't make the distinction between\nnew functionality and bugfixes, since we don't think it matters and is not a thing\nworth wasting time on. We will release often and if we need changes that are not comptatible,\nwe will fork the next major version and release alphas versions of that until we are\nhappy to release the next major version and try and have a painless upgrade path.\n\n\n",
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