A better way to view Azure resource logs

Hacker News

I was working with Azure Communication Service and part of it is to put the logs of email tracking, etc. in a storage account. I created an app to use Azure Storage REST APIs, list and show these logs. It is also useful for any other kind of resource logs. I thought it would be useful to make it a static site and host it in Netlify. All you need is the name of the storage account and the SAS token you have generated for it. Nothing is sent to any servers. Nothing is saved anywhere. The REST API calls are directly to the Azure. I know this could be easier with Azure Log Analytics, but it was expensive for me. I would appreciate your thoughts on it.

Visit product View on Hacker NewsOct 29, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, apis · Missing: mac, agents, macos

83%83% 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.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

53%53% 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

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

AppSumoMay struggle as an AppSumo deal · Strong signals: host, calls · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

15%15% 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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