A simple script to check everything in your cloud

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Hello, I'm Patrick SZYMOWIAK and I'm happy to introduce you to Kexa, a script that will optimize your operations, easily ensure compliance and save you money through your cloud providers. I've worked in cloud solutions with Azure for 8 years and came up with a few projects by now, and today I introduce you the new solution made by us for your cloud environments. The goal : Kexa is an open-source and portable software built to simplify and enhance the cloud verification process. It's designed to support various cloud providers. It operates on a set of user-defined rules, ensuring checks and verifications. Detected errors are communicated through a diverse array of channels, including SMS, email, and Microsoft Teams alerts, each adapted to distinct alert levels that you define. 1. Cost Savings: By identifying inefficiencies, redundant services, and underutilized resources, it has the potential to significantly reduce your cloud infrastructure costs. 2. Conformity and Compliance: Kexa can ensure your cloud projects conformity to best practices and compliance guidelines, reducing the risk of costly security breaches and regulatory fines. 3. Optimization: Fine-tune your cloud configurations for optimal performance, whether you're using AWS, Azure, Google Cloud, or other provider, it can find opportunities for improvement. 4. Extensibility and Community: It is open-source : adapt it to your specific needs, create and share addons to enhance its functionality with the community. 5. Easy to deploy: Integrate Kexa into your pipelines easily and deploy it anywhere without difficulties. Get Started : You can find the open-source code and documentation on our GitHub repository: Feel free to explore and contribute ! [ https://github.com/4urcloud/Kexa](https://github.com/4urclou... Kexa also have a public website if you need more information : [ https://www.kexa.io](https://www.kexa.io/)

Visit product View on Hacker NewsSep 20, 2023

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

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nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

35%35% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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