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awslabs
aws-lambda-go-api-proxy
Go2020–2022
awslabs / aws-lambda-go-api-proxy · Archived

aws-lambda-go-api-proxy

lambda-go-api-proxy makes it easy to port APIs written with Go frameworks such as Gin (https://gin-gonic.github.io/gin/ ) to AWS Lambda and Amazon API Gateway.

4Distinct people
4Mentions
0Explicit recommenders
1.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

lambda-go-api-proxy makes it easy to port APIs written with Go frameworks such as Gin (https://gin-gonic.github.io/gin/ ) to AWS Lambda and Amazon API Gateway.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month4 dated mentions

Observed mentions: 2020-10-01 08:37:08 UTC to 2022-05-18 14:37:56 UTC.

012020-10-01 00:00:00 UTC to 2020-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 20202020-11-01 00:00:00 UTC to 2020-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-12-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2021-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-02-01 00:00:00 UTC to 2021-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-03-01 00:00:00 UTC to 2021-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-04-01 00:00:00 UTC to 2021-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-05-01 00:00:00 UTC to 2021-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-06-01 00:00:00 UTC to 2021-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-07-01 00:00:00 UTC to 2021-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 20212021-08-01 00:00:00 UTC to 2021-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-09-01 00:00:00 UTC to 2021-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-10-01 00:00:00 UTC to 2021-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-11-01 00:00:00 UTC to 2021-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-12-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2022-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-02-01 00:00:00 UTC to 2022-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 20202020-10-01 00:00:00 UTC2020-11-01 00:00:00 UTC101
Nov 20202020-11-01 00:00:00 UTC2020-12-01 00:00:00 UTC101
Dec 20202020-12-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
Jan 20212021-01-01 00:00:00 UTC2021-02-01 00:00:00 UTC000
Feb 20212021-02-01 00:00:00 UTC2021-03-01 00:00:00 UTC000
Mar 20212021-03-01 00:00:00 UTC2021-04-01 00:00:00 UTC000
Apr 20212021-04-01 00:00:00 UTC2021-05-01 00:00:00 UTC000
May 20212021-05-01 00:00:00 UTC2021-06-01 00:00:00 UTC000
Jun 20212021-06-01 00:00:00 UTC2021-07-01 00:00:00 UTC000
Jul 20212021-07-01 00:00:00 UTC2021-08-01 00:00:00 UTC000
Aug 20212021-08-01 00:00:00 UTC2021-09-01 00:00:00 UTC000
Sep 20212021-09-01 00:00:00 UTC2021-10-01 00:00:00 UTC000
Oct 20212021-10-01 00:00:00 UTC2021-11-01 00:00:00 UTC000
Nov 20212021-11-01 00:00:00 UTC2021-12-01 00:00:00 UTC000
Dec 20212021-12-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
Jan 20222022-01-01 00:00:00 UTC2022-02-01 00:00:00 UTC000
Feb 20222022-02-01 00:00:00 UTC2022-03-01 00:00:00 UTC000
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC000
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC000
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC110

What Hacker News says

4 sources

Ask HN: AWS Lambdas for Hosting CRUD Rest Apps

I've been building things[1] by running containers in lambdas and hooking to API gateway. It's pretty great for low usage side stuff, because it costs pennies to host. So I was wondering how far this idea can be pushed. Is anyone hosting a full CRUD type app with routing and persisting to somewhere on AWS Lambda? Projects like `aws-lambda-go-api-proxy`[2] or your language equivalent seem to make this very easy to do. [1] https://earthly.dev/blog/aws-lambda-docker/ [2] https://github.com/awslabs/aws-lambda-go-api-proxy
1 points · Open discussion
I like using the “serverless monolith” architecture. You use a catch-all API gateway hooked up to a single lambda. You write it the same as any standard HTTP server and let an adapter handle the lambda bits[1]. During development you run it as a regular HTTP server and connect directly to localhost. To deploy it all you need is a shell script that zips and uploads your binary to lambda. All state is stored in DynamoDB. One log stream for everything. The downside is dealing with AWS events. There’s a few ways to handle it. You can write it into your monolith, toggling behavior with say an environment variable. You can sometimes work around it, for example avoiding the S3 file uploaded event by having clients ping your HTTP API on upload completion. Of course, there are trade offs for all the techniques. You can easily reconfigure a lambda
Read the rest
to retry on failure but you’d have to manually implement that client-side. You can also always just add another lambda if you’re ready. To put it another way: you probably don’t need to write that record to a queue which gets written to DynamoDB, whose stream calls another lambda etc etc. Just do that stuff within a regular old HTTP handler until the fanciness is absolutely necessary. For personal projects, I appreciate how serverless scales to zero. I don’t have to worry about axing projects with minimal usage. [1] for example https://github.com/akrylysov/algnhsa or https://github.com/awslabs/aws-lambda-go-api-proxy
In Moving my serverless project to Ruby on Rails

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