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Test distributed systems with 10 lines of code

Hacker News

Test distributed systems with 10 lines of code

Hey HN, Nir, Gal and Tomer here. Last week, we open-sourced a new testing framework in Typescript on top of Jest and OpenTelemetry ( https://github.com/traceloop/jest-opentelemetry ). It makes it easy for developers to write end to end tests for a microservice-based system with many side effects. Writing good end-to-end tests is hard. They take a lot of time to write, developers are afraid to change them afterward, and they are flaky and tend to fail for no reason. It shouldn’t be this way. Our beta version lets you: - Test any side-effect in your system: an e-mail’s sent, a database’s updated, a BI event gets reported, etc. - Run your tests and connect to a local or remote test environment. - Open source Apache-2.0 license so anyone can start running tests. We’re still early so would love your feedback and opinions. Feel free to try us out – and if you want to be able to test a specific cloud service, just let us know. We’re constantly adding more. Main website: https://www.traceloop.dev/ Github: https://github.com/traceloop/jest-opentelemetry

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code, open · Missing: mac, agents, macos
71%71% 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 · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
65%65% 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
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
17%17% predicted probability of success on AppSumo, 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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