aws-gocljs VS libaws

i make two kinds of websites:

- static. markdown rendered to html using github’s api[1].

- dynamic. a go binary and an html file with inlined js zipped together and shipped somewhere[2].

it’s nice to never consider the machinery of either of these anymore. instead i think about building interesting things.

1.

https://github.com/nathants/render

https://nathants.com/

2.

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

https://gocljs.nathants.com/

have you tried cljs and reagent? it’s a different vibe.

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

the project: https://reagent-project.github.io/

https://gocljs.nathants.com is 300kb gzipped on deploy in a single html file. setup is here: https://github.com/nathants/aws-gocljs.

aws, go, and clojurescript.

go is notoriously boring.

the reagent api for clojurescript hasn’t changed in a decade, though recent things like shadow-cljs do improve qol.

aws releases services with 2 in their name instead of changing existing ones. the old boring service will plod along forever.

aws apigateway v2 is much better, but i have many deployed projects i will never migrate because they are fine on v1.

i do it like this: https://github.com/nathants/aws-gocljs

lambdas updatecode api takes less than a second. using container instead of a zip for lambda has advantages, but speed is not one of them.

i auto rebuild my go zip and patch aws on every code change. it’s done before i alt tab and curl.

script: https://github.com/nathants/aws-gocljs/blob/master/bin/dev.s...

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!

using remote resources as a part of your local dev flow can be very useful if your local environment is constrained on:

- upload and/or download bandwidth

- cpu/ram/gpu/ssd

this can be as simple as an ephemeral ec2 spot machine that reacts every time files on it’s filesystem change. it then does stuff, like building and shipping.

your local setup then needs to rsync files from local to remote every time you save a file.

i’m on an upload constrained setup right now, and this[1] significantly speeds up my iterations uploading lambda zips.

fancier setups probably are similarly advantageous, but add tradeoffs proportional to their complexity.

1. https://github.com/nathants/aws-gocljs/blob/258ea5bb72d06a50...

go, clojurescript, and aws. all three of these have problems, but like linux are the least bad of the available options. from some angles they are even quite good.

- go, a natural fit for backend with types and compilers and speed

- clojurescript (and react via reagent), a natural fit for frontend with dynamism, flexibility, and data centrism

- aws, a natural fit for infra. like linux, literally everyone is using it. if you avoid architect advice and tape over most of the knobs it’s quite good

example:

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

on aws as scale to zero services. lambda, dynamo, s3, and ephemeral ec2 spot.

when egress bandwidth is needed i use cloudflare workers + r2 just like i would use s3 presigned urls.

typically i start from a full project template[1][2]. sometimes i start from scratch[3].

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

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

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

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