serverless-express VS libaws

After building out a GPT powered endpoint, I wanted a low cost way of hosting it. At the time, I came across the serverless-express project https://github.com/vendia/serverless-express/tree/mainline, but no actual starter kits that would allow me to deploy it.

It’s all handled using https://github.com/vendia/serverless-express

Amplify gives an option of using a template and linking the API Endpoint with the Lambda and a connected DynamoDB table. I selected the template, Serverless Espress, which provided a lot of code in the template, though the majority of it felt overly bloated for what was effectively CRUD functionality.

With that in mind, the goal of this library is to be as lightweight as possible. There are other libraries out there that can handle express -> serverless mutation. See Serverless Express for that. If you want to rewrite as little code as possible, that is your best solution. With that being said, if the sole purpose of express is middleware and is only hosting a one-endpoint GraphQL server, I recommend rewriting to utilize this library.

To get Express to run on AWS Lambda the Node http stack needs to be emulated, or a full-blown HTTP/TCP server needs to be started and proxied to. Each of these workarounds require a ton of code from libraries like serverless-express.

Express is a framework/software. Lambda is compute. You can run express in Lambda. Ive done this and it was great. Check out https://github.com/vendia/serverless-express. The cool thing is that it's portable - you can build for one compute environment, and move it to another if it doesnt suit

Yea its fine use https://github.com/vendia/serverless-express since you are using express

Serverless Express - library that makes our "plain" NestJS API play nicely with Serverless

Some people like the Unix philosophy of "Do one thing and do it well" for Lambdas, others would build a monolithic app using a single Lambda with built in "routes". Both designs have pros and cons.

i print the error along with file and line number every time i return it. clunky, but it works.

in fact i print file and line with every log message.

https://github.com/nathants/libaws/blob/87fb45b4cae20abd1bb1...

cloud is so good now it’s hard to justify not doing something bespoke. ec2 spot is insanely cheaper than turnkey cicd, and better in almost every way.

i’m delighted to pay 30% over infra cost for convenience, but not 500%. and it better actually be convenient, not just have a good landing page and sales team.

this month i learned localzones have even better spot prices. losangeles-1 is half the spot price of us-west-2.

for a runner, do something like this, but react to an http call instead of a s3 put[1].

for a web ui do something like this[2].

s3, lambda, and ec2 spot are a perfect fit for cicd and a lot more.

1. https://github.com/nathants/libaws/tree/91b1c27fc947e067ed46...

2. https://github.com/nathants/aws-exec/tree/e68769126b5aae0e35...

like linux, cloud is a lot to learn, but worth it.

like linux, cloud is best kept simple, or it can become brittle and confusing.

like linux, cloud has a lot of cool things like zfs, that should be appreciated but rarely used.

like linux, using go makes your life a lot easier. the aws go sdk is the documentation.

like linux, you have to learn a lot and then find the core utility you actually care about. for me it is:

https://github.com/nathants/libaws

the good new is, for the 95% of projects that can tolerate it, aws the good parts are actually both simple and easy[1].

it’s hard to find things you can’t build on s3, dynamo, lambda, and ec2.

if either compliance or a 5% project demand it, complicated solutions should be explored.

1. https://github.com/nathants/libaws

i also wanted a good cli for aws, and built one:

https://github.com/nathants/libaws

companies like fly are fantastic.

they provide a good service, and they put market pressure on aws.

cool transition and fun writeup!

for low, intermittent traffic sites, go on lambda might be a better comparison:

https://github.com/nathants/libaws/tree/master/examples/simp...

lambda + s3. add ec2 spot if you need it.

just make sure you understand how billing works. mostly it’s just egress bandwidth is expensive.

do something like this:

https://github.com/nathants/aws-gocljs

or with less opinions:

https://github.com/nathants/libaws/tree/master/examples/simp...

welcome to cloud, glhf!

aws ux for retaining both hair and sanity.

https://github.com/nathants/libaws

build and scale systems with artificial load on aws! scaling the load testing will be just as interesting as scaling the system under test.

start with low bottlenecks, ie a cluster of c6i.large ec2 spot. how fast can you do this? have fast can you scale that? ec2 and s3 is all you need to build anything.

use ec2 spot, avoid network egress, avoid cross region/zone traffic, create and destroy ec2 instances as needed instead of letting them sit idle. you could grow system scaling intution for the price of your streaming subscriptions.

start with something like this:

https://github.com/nathants/libaws/tree/master/examples/comp...

maybe mess around with public datasets on aws, just make sure to be in the correct region to avoid data egress.

welcome systems friend. one accurate measurement is worth a thousand expert opinions. scaling is fun!

aws has too many knobs, presumably to satisfy the union of the needs of all the enterprise customers. that said, lambda+s3+dynamodb+ec2 are pretty good once you tape over all the knobs that aren't needed. i work with them like this[1].

these days i build on aws and r2. aws for the nuts and bolts, r2 for high bandwidth egress. it's a perfect match.

1. https://github.com/nathants/libaws