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Stop Putting AWS Credentials in GitHub Secrets

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Stop Putting AWS Credentials in GitHub Secrets

Greetings! I've created a GitHub action that works that allows GitHub Actions to exchange a GitHub token for AWS Access Credentials. I've cultivated a few examples of it in action: https://github.com/saml-to/aws-assume-role-action-examples I've always found management of AWS Credentials has been a pain. So this setting up this Action works like this: 1) A SAML Identity Provider is created in AWS 2) A Role in AWS is set up to trust that Identity Provider 3) A config file is added to the repository indicating which role can be assumed 4) The GitHub Action exchanges the Repo Secret for AWS Credentials using the SAML.to backend for the exchange Let me know what you think! I'm Happy to take questions and comments here or on Gitter: https://gitter.im/saml-to/assume-aws-role-action

Visit productView on Hacker NewsJan 18, 2022
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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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