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MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
CLI tool to build, test, debug, and deploy Serverless applications
...During deployment, SAM transforms and expands the SAM syntax into AWS CloudFormation syntax, enabling you to build serverless applications faster. To get started with building SAM-based applications, use the SAM CLI. SAM CLI provides a Lambda-like execution environment that lets you locally build, test, debug, and deploy AWS serverless applications.
An open-source framework for building serverless applications
...During deployment, SAM transforms and expands the SAM syntax into AWS CloudFormation syntax, enabling you to build serverless applications faster. To get started with building SAM-based applications, use the AWS SAM CLI. SAM CLI provides a Lambda-like execution environment that lets you locally build, test, and debug applications defined by SAM templates or through the AWS Cloud Development Kit (CDK). You can also use the SAM CLI to deploy your applications to AWS. SAM and SAM CLI are open-sourced under the Apache 2.0 license. ...
...Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time.
A TensorFlow Serving solution for use in SageMaker
...Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. "cpu", "gpu", "ei") has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand.
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Buildbot is a system to automate the compile/test cycle required by most software projects. Buildbot is no longer hosted on SourceForge. See http://buildbot.net for links and documentation, and http://github.com/buildbot for the source.
A Web-based Testcase Management environment. Suiteshop allows, potentially, a completely different set of test suites to be run against each software build in a version, but still features version-based reporting.
A TextMap module for Python.
The TextMap class can be used to emulate oldfashioned computer screens. It will have methods like writexy(x,y,text),
input = readxy(x,y,text), clear(), scroll(x,y),
change(coloroptions), settext(text), input = gettext()
Set of tools, web based and command line python based, to manage the status of builds on a linux based system. Ala Tinderbox style, task status (test, build, etc) are send via email to a rails engine that monitors build status and displays it on a web.
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