A demonstration deployment of Haskell on AWS Lambda
A demonstration has been created to showcase how to deploy Haskell applications on AWS Lambda using OCI container images. The project emphasizes a structured approach to infrastructure as code and CI/CD processes, providing recommendations for effective deployment. It also highlights limitations, such as the focus on x86_64-linux architecture and the need for proper AWS credentials management.
- ▪The demonstration provides an end-to-end guide for building and deploying Haskell applications on AWS Lambda.
- ▪It recommends using a two-workspace pattern to separate infrastructure code from the build and deployment lifecycle.
- ▪The demo is limited to x86_64-linux Lambda functions, which may not be cost-effective compared to aarch64-linux alternatives.
3 outlets in our directory ran this story, first to last over 26 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Lambda on Lambda: Serverless Haskell on AWS — Jackkelly
- ▪ lambda-on-lambda - Serverless Haskell on AWS — r/aws
Lobsters files mainly under programming. We currently carry 187 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Sr |
| Canonical URL | https://git.sr.ht/~jack/lambda-on-lambda |
| Publication time | Mon, 25 May 2026 18:56:37 -0500 |
| Retrieval time | 2026-05-26T00:07:40.867Z |
| Last seen | 2026-05-26T00:07:40.867Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | fwGoeMNF3o2f · 3 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
#Lambda on Lambda: Serverless Haskell on AWS This repository is an end-to-end demonstration of how to build OCI container images for deployment to AWS Lambda, as well as OpenTofu workspaces to provision the AWS resources. The container images can also run under Docker for local testing. It is designed to be a "concept sketch" of what real infrastructure might look like: more than a ClickOps guide that won't scale, but not a full end-to-end deployment where it's too hard to understand all the moving parts. The idea is that you will be able to map each part of this demonstration onto your IaC and CI/CD processes in a way that makes sense for your tools.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Sr.
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