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Infra as a Code (Iac) Automation Using Ansible and Terraform – Dalang

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Infra as a Code (Iac) Automation Using Ansible and Terraform – Dalang

Hey Everyone, I am excited to share a piece of open source software that I've created in Ansible and Terraform for IaC automation, called dalang. Dalang is a collection of Ansible Playbooks developed for Infrastructure as a Code (IaC) automation. It automates infrastructure deployment in your multi-account AWS environment. Dalang can easily be added to any CI/CD pipeline such as AWS Codepipeline, Ansible Tower/AWS, or Github Actions. The source code is on GitHub: https://github.com/dbsentry/dalang Do check out. Would highly appreciate feedback/suggestions/bug requests.

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, code, open · Missing: mac, agents, macos
77%77% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, pipe · Missing: https docs, just released, exist
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% 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
14%14% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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