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It aims to lower some of the biggest barriers and learning curves in getting data and custom code running on distributed cloud infrastructure. It can be run both as a command-line tool, or as a server for integrating into other tools via a REST API/websockets.\n\nUse cases:\n\n - Simulating molecular dynamics\n - Numerical simulations, data crunching\n - Server infrastructure for scalable computation\n\nCloud Compute Cannon is designed to do one thing well: run docker-based compute jobs on any cloud provider (or your local machine) reliably, with a minimum or user intervention, and scale machines up and down as needed. Its feature set is purposefully limited, it is designed to be used standalone, or as a component in more complex tools, rather than be extended itself.\n\nFeatures:\n\n- Run on any cloud provider supported by [pkgcloud](https://github.com/pkgcloud/pkgcloud) or your local machine.\n- Adding providers is straightforward, so that developers can potentially add their own company or university cloud infrastructure.\n- One line installation.\n- Simple configuration.\n- Any programming language or tool can be used by jobs, as long as it runs under Linux ([docker](https://www.docker.com/) is used for running jobs).\n- Worker machines will scale up and down as needed.\n- The client can be run on the command line, or run as a server for providing an API to other tools.\n\n\n## Installation\n\n### Requirements\n\n - node + npm: http://nodejs.org/\n - If you are running jobs locally: [docker](https://www.docker.com/)\n\n### Install\n\nCloud-compute-cannon installs globally.\n\n\tnpm install -g cloud-compute-cannon\n\nThis installs the `ccc` executable.\n\n## Running\n\n### Environmental Variables\n\n\n#### DISABLE_STARTUP_TEST\n\n\tDISABLE_STARTUP_TEST=1\n\nDefault: `false` (tests will run by default)\n\nTo disable tests on startup:\n\n\tDISABLE_STARTUP_TEST=0 | DISABLE_STARTUP_TEST=false\n\n#### PORT\n\n\tPORT=9000\n\n#### COMPUTE_CONFIG\n\nA string of the YAML config (below).\n\n#### CONFIG_PATH\n\nThe path to the config file in the docker container. \n\nDefault: `/app/config/ccc.yml`\n\n#### REMOVE_JOBS_ON_STARTUP\n\n\tREMOVE_JOBS_ON_STARTUP=1 || REMOVE_JOBS_ON_STARTUP=true\n\nDefault: `false`\n\nRemoves all pending and running jobs on startup. Usually this is only useful for debugging or local dev environments.\n\n#### LOG_LEVEL\n\n\tLOG_LEVEL=20\n\n10=trace\n20=debug\n30=info\n40=warn\n50=error\n60=critical\n\nDefault: `20`\n\nTo disable all logging:\n\n\tDISABLE_LOGGING=true or DISABLE_LOGGING=1\n\n\n### 'Hello world' example\n\n--command=\\'[\"python\", \"-c\", \"print(\\\\\\\"Hello World!\\\\\\\")\"]\n\n\tccc run --image=elyase/staticpython --command='[\"python\", \"-c\", \"print(\\\"Hello World!\\\")\"]' --output=./localOutputDir\n\nThis assumes you have docker installed on the local machine, since we haven't specified any cloud provider, such as AWS. It instructs a worker to pull the python docker image, creates a container that runs the python command. The `output` option instructs cloudcannon to copy the results (here only the stdout) to the directory.\n\nWhen the job is finished, you should see the text file `./localOutputDir/stdout` containing the string \"Hello world!\".\n\nThere are many other options that are documented below.\n\n### Kibana/Elasticsearch Dashboard\n\nYou can see logs for the entire stack at:\n\nhttp://<host>:5601\n\nThe first time you'll need to configure Kibana:\n\nClick on settings in the top-line menu, choose indices and then make sure that the index name contains 'logstash-*', then click in the 'time-field' name and choose '@timestamp';\n\nTo confirm there are indices go to:\n\nhttp://<host>:5601/_cat/indices\n\nand you should see logstash-*** indices.\n\n## Configuration\n\nDeploying to a remote machine, or deploying anywhere that uses real cloud providers (e.g. AWS, GCE) requires passing in a configuration file.\n\nExample config yaml files are found in `compute/servers/etc`.\n\nYaml config example:\n\n```yaml\n\nstorage:\n  type: \"local\"\n  rootPath: \"data/ServiceStorageLocalFileSystem\"\n\nproviders:\n  - type: \"PkgCloud\"\n    maxWorkers: 2\n    minWorkers: 0\n    priority: 1\n    #billingIncrement are measured in MINUTES. AWS defaults to 60 if this is not set\n    billingIncrement: 58\n    credentials:\n      provider: \"amazon\"\n      keyId: \"AKIAIWJON3HDJ\"\n      key: \"SLV3lNIPbGwv6oSy\"\n      region: \"us-west-1\"\n    server:\n      Tags:\n        - Key: \"Name\"\n          Value: \"CCC_Server\"\n      InstanceType: \"m3.medium\"\n      ImageId: \"ami-652c5505\"\n      KeyName: \"ccc-keypair\"\n      Key: |\n        -----BEGIN RSA PRIVATE KEY-----\n        MIIEogIBAAKCAQEAyh+2Op9GIcRjlayC+TP6Btxklb9nkQlrKJaXlovJfHgQPOvpTnDceyzHy755\n        JpsCbhrdio4GomeKHBObbD4eB5nIZ8VXQD1EhgedUxKKrW9csWyjlRbfOWEZyMmT025JIg8G4QYK\n        -----END RSA PRIVATE KEY-----\n    worker:\n      Tags:\n        - Key: \"Name\"\n          Value: \"CCC_Worker\"\n      InstanceType: \"m3.medium\"\n      ImageId: \"ami-61e99101\"\n      KeyName: \"ccc-keypair\"\n      Key: |\n        -----BEGIN RSA PRIVATE KEY-----\n        MIIEogIBAAKCAQEAyh+2Op9GIcRjlayC+TP6Btxklb9nkQlrKJaXlovJfHgQPOvpTnDceyzHy755\n        JpsCbhrdio4GomeKHBObbD4eB5nIZ8VXQD1EhgedUxKKrW9csWyjlRbfOWEZyMmT025JIg8G4QYK\n        -----END RSA PRIVATE KEY-----\n```\n\nIn the above configuration, only the `credentials.keyId` and `credentials.key` values need to be modified to run under your own AWS account.\n\n### Storage providers\n\n```\n  storage:\n    type: \"local\"\n    rootPath: \"data/ServiceStorageLocalFileSystem\"\n```\n\n```\n  storage:\n    type: \"S3\"\n    rootPath: \"/\"\n    container: \"bucket-name\"\n    # You can use the S3 url or the cloudfront. The httpAccessUrl\n    # is prepended to the file path.\n    #httpAccessUrl: \"https://s3-us-west-1.amazonaws.com/bucket-name\"\n    httpAccessUrl: \"https://d3bt947tva2i1l.cloudfront.net\"\n    credentials:\n      provider: \"amazon\"\n      #You can use keyId/key or accessKeyId/secretAccessKey field names\n      keyId: \"your keyId\"\n      key: \"your key\"\n      region: \"us-west-1\"\n    # Optionally add arbitrary  copy parameters if using S3:\n    # http://docs.aws.amazon.com/cli/latest/reference/s3/sync.html\n    extraS3SyncParameters: [\n        ['--exclude', '*', '--include', '*.ext2'],\n        ['--exclude', '*', '--include', '*.ext3']\n      ]\n```\n\nMore coming soon!\n\n## Testing\n\nCall the this API endpoint to run the suite of internal functional end-to-end tests:\n\n  curl <HOST:PORT>/api/rpc/server-tests\n\nThis will return the tests results in JSON and a status of 200 if the tests pass, or a 500 status if any test fails.\n\n\n## Developers\n\nCloudComputeCannon is written in [Haxe](http://haxe.org/). To develop, you'll need to install Haxe, ([Docker](https://www.docker.com/) +1.12, and [Node+NPM](http://nodejs.org/).\n\nSteps for running the functional tests locally:\n\n1) Clone the repo and install libraries, submodules, etc\n\n\tgit clone https://github.com/Autodesk/cloud-compute-cannon\n\tcd cloud-compute-cannon\n  npm run init\n\nThe `npm run init` command wraps steps that are identical to the Dockerfile, since that creates an environment for compiling and running the server.\n\nTo compile, run:\n\n\thaxe etc/hxml/build-all.hxml\n\nTo run you'll need the rest of the stack (database, registry, logging). In a new terminal window in the cloud-compute-cannon directory run the following command. It assumes you have ([Docker](https://www.docker.com/) installed:\n\n\t./bin/run-stack-noserver\n\nThen in another terminal window, run:\n\n\thaxe test/testsIntegration.hxml\n\nTo run individual tests:\n\n  ./bin/test <full.class.name>[.optionalMethod]\n\n\n### Running tests on cloud providers\n\n1) Set up an instance on e.g. AWS. Map the IP address to an entry in your ~/.ssh/config for passwordless operations. We'll call our alias \"dev\".\n\n2) Create your server configuration file (default name=\"ccc.yml\", see above).\n\n3)\n\n  ./bin/reloading-stack-deploy <ssh alias (dev)> <path to ccc.yml>\n\n4) On server compiles\n\n  ./bin/reloading-stack-sync <ssh alias (dev)> <path to ccc.yml>\n\nThe server code and config will be copied over and the server restarted. Restaring means running the tests.\n\nOptionally create an .env file in the root of the repo, this will be consumed by the reloading server.\n\n### Developing locally and having compiled server builds automatically uploaded to a remote server and restarted\n\n1) Set up an instance on e.g. AWS. Map the IP address to an entry in your ~/.ssh/config for passwordless operations. We'll call our alias \"dev\".\n\n2)\n\n  ./bin/run-stack-remote-dev <host> <ccc.yml>\n\n3) Code and build! Updates are automatically pushed to the remote server!\n\n\n## Contact\n\nTo contact the authors, please email: maintainers.bionano-cloudcomputecannon@autodesk.com or post an issue.\n\n## License\n\nCopyright 2015 Autodesk Inc.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n    http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n","maintainers":[{"name":"dionjwa","email":"dion@transition9.com"}],"time":{"modified":"2022-06-13T06:12:04.542Z","created":"2016-04-04T16:39:54.056Z","0.0.1":"2016-04-04T16:39:54.056Z","0.0.2":"2016-05-10T16:39:50.431Z","0.0.2-a":"2016-05-10T16:45:42.832Z","0.0.2-b":"2016-05-10T17:18:57.227Z","0.0.2-c":"2016-05-10T17:24:35.548Z","0.0.2-d":"2016-05-10T17:25:18.636Z","0.0.2-e":"2016-05-10T17:27:44.976Z","0.0.2-f":"2016-05-10T17:29:49.659Z","0.0.2-g":"2016-05-12T16:39:19.518Z","0.0.2-h":"2016-05-12T17:07:27.327Z","0.0.2-i":"2016-05-16T04:24:25.582Z","0.0.3":"2016-06-13T21:24:27.020Z","0.0.4":"2016-06-13T21:43:35.552Z","0.0.5":"2016-06-13T21:44:18.761Z","0.0.6":"2016-06-20T23:01:13.431Z","0.0.7":"2016-07-06T18:16:34.285Z","0.0.9":"2016-07-08T04:32:26.847Z","0.0.10":"2016-07-08T05:28:26.112Z","0.0.11":"2016-07-10T05:44:31.427Z","0.0.12":"2016-07-12T22:54:04.536Z","0.0.14":"2016-07-14T21:44:30.673Z","0.0.15":"2016-07-16T14:51:14.487Z","0.0.17":"2016-07-21T21:41:27.801Z","0.0.18":"2016-07-21T22:16:12.192Z","0.0.19":"2016-07-21T23:01:26.188Z","0.0.20":"2016-07-25T23:37:14.376Z","0.0.21":"2016-07-27T07:11:35.234Z","0.0.22":"2016-08-09T00:44:51.550Z","0.1.0":"2016-08-09T23:15:36.172Z","0.1.1":"2016-08-09T23:17:27.879Z","0.1.2":"2016-08-17T04:47:27.104Z","0.1.4":"2016-08-24T21:42:48.343Z","0.1.16":"2016-10-04T20:58:39.048Z","0.1.18":"2016-10-11T18:45:09.565Z","0.1.21":"2016-11-13T00:54:16.025Z","0.1.23":"2016-11-14T22:58:01.948Z","0.1.24":"2017-01-11T19:02:36.967Z","0.1.25":"2017-01-11T21:05:19.675Z","0.1.26":"2017-01-11T21:30:20.582Z","0.1.27":"2017-01-11T22:31:57.288Z","0.1.29":"2017-01-11T23:36:03.219Z","0.1.30":"2017-01-12T00:02:36.509Z","0.1.31":"2017-01-20T00:50:44.333Z","0.1.32":"2017-01-23T20:00:15.023Z","0.1.38":"2017-02-06T22:42:59.924Z","0.1.39":"2017-02-09T18:57:42.819Z","0.1.42":"2017-02-09T22:59:01.718Z","0.1.43":"2017-02-09T23:09:38.880Z","0.1.44":"2017-02-09T23:44:02.476Z","0.1.45":"2017-02-10T22:33:26.825Z","0.1.46":"2017-02-10T22:58:16.934Z"},"author":{"name":"Dion Amago Whitehead","email":"dion.amago@autodesk.org"},"readmeFilename":"README.md","homepage":"https://github.com/Autodesk/cloudcomputecannon#readme","repository":{"type":"git","url":"git+https://github.com/Autodesk/cloudcomputecannon.git"},"bugs":{"url":"https://github.com/Autodesk/cloudcomputecannon/issues"}}