Run WASM in Containerd

Hacker News

I've been working with a partner team to integrate wasm workloads with existing container toolchains with the goal of enabling wasm workloads anywhere, be it on the edge, in kubernetes, or wherever. To that end, this project implements a containerd shim which runs those wasm workloads. It is designed as a library to bring your own host implementation, but also includes an implementation for WASI. Right now the library assumes you are using wasmtime, which is embedded in. It works either standalone (run with containerd directly) or in kubernetes. Kubernetes networking and storage are wired into the wasm host and the wasm can run side by side with native workloads on the same machine. Wasm pods can be exposed as a service like any other pod.

Visit product View on Hacker NewsMay 2, 2022

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

94%94% 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 · Missing: mobile apps, ios, personal

65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

56%56% 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 · Missing: plus, platform, intuitive

42%42% 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

18%18% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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