Deployment (GitHub actions, Bitbucket pipelines), the stupid way

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • For GitHub you would go for that link: https://github.com/your-username/your-repository/settings/secrets/actions

  • Puts Debuggerer

    Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

  • After committing the change, they usually push their data to a specific hosted version control system (HVCS) that stores the code for team contribution/sharing. We can name a few: GitLab, GitHub, Bitbucket.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • google-cloud-cpp

    C++ Client Libraries for Google Cloud Services

  • That is what the YAML is for. Securely send data to a specific cloud service ( AWS, Google Cloud, Azure ). They call the whole process, CI/CD, deployment, etc etc etc. (Hey picky, I know they are not the same, but they kind of are.)

  • aws-lambda-java-libs

    Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.

  • 3 — This .env file will be sent with other files to the selected destination (in that case they will send environment variables to AWS lambda)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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