Developer Environments Using Istio and Kubernetes

Hacker News

Developer environments become slow to spin up and expensive to maintain with many microservices. We’ve built a new kind of dev environment that uses traffic labeling (using OpenTelemetry) and dynamic request routing (with Istio) - which makes it lightweight and scalable. You can run the dev version of a microservice on a laptop and connect it to a shared Kubernetes cluster with dependencies and test as though the whole application were running locally. Also, you can combine dev environments together to test different microservices with each other as they’re being developed. The underlying approach we use is similar to Uber’s SLATE ( https://www.uber.com/blog/simplifying-developer-testing-thro... ) - built on top of Kubernetes and Istio. If you’re interested, please give it a whirl using our guide at https://www.signadot.com/docs/quickstart/local-development . Looking forward to feedback, bug reports, and discussions!

Visit product View on Hacker NewsAug 18, 2023

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

74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

55%55% 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

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

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

34%34% 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

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

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

Incorrect prediction on native model

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