Flowpipe – cloud scripting using HCL

Hacker News

Flowpipe [1] is a new open source [2] cloud scripting engine from Turbot [3]. Some of you may already use Steampipe [4], our open-source [5] tool to live query cloud APIs. We believe DevOps teams need an easier way to orchestrate their cloud, build workflows and respond to events. But - because it's DevOps - that must be in code. In Flowpipe, pipelines are written in HCL and use simple primitives for HTTP requests, executing containers, running Lambda-compatible functions, querying databases like Steampipe and more. We have also published a large ecosystem of open source Flowpipe Mods [6]. Our introduction blog post gives a clear overview and demo [7], hopefully :-) Please let us know what you think! 1 - https://flowpipe.io 2 - https://github.com/turbot/flowpipe 3 - https://turbot.com 4 - https://steampipe.io 5 - https://github.com/turbot/steampipe 6 - https://hub.flowpipe.io 7 - https://flowpipe.io/blog/introducing-flowpipe

Visit product View on Hacker NewsDec 13, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, code · Missing: mac, agents, macos

87%87% 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.

Hacker NewsStrong engagement from HN community · Strong signals: open source, pipe, io · Missing: https docs, excited, just released

78%78% 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 · Strong signals: way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% 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

13%13% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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