libaws VS k9s

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

Pierre: The first tool I recommend is K9s. It's not just a time-saver but a productivity booster. With its intuitive interface, you can speed up all the usual kubectl commands, access logs, edit resources and configurations, and more. It's like having a personal assistant for your cluster management tasks.

The last thing you really need is a common set of tools that you want fingertip access to. I really commonly use LazyGit and K9s in my day job so those are the tools I will show off in this article.

K9s is your best friend (get it? 🐶) when exploring your cluster via the terminal. It shares commonality with Vim for its interaction style using shortcuts and starting commands with: but don’t let that discourage you. K9s keeps a vigilant eye on Kubernetes activities, providing real-time information and intuitive commands for resource interaction.

k9s: brew install k9s

I would like to put in a vote for k9s, which is also on the list at Terminal Trove. [0] It's the most convenient tool I've ever found for Kubernetes management. Based on that experience I'll definitely be checking out Harlequin.

[0] https://k9scli.io/

$ wget https://github.com/derailed/k9s/releases/download/v0.29.1/k9s_Darwin_amd64.tar.gz $ tar -xzf k9s_Darwin_amd64.tar.gz $ sudo mv k9s /usr/local/bin/

All in all, run things, do some kubectl apply -f something.yml every day, install k9s, and try to configure a big one cluster at some point.

(K9s is one of my favorite tools for navigating Kubernetes clusters through the CLI).

K9s is an open-source, terminal-based UI for interacting with your Kubernetes clusters, making navigating, observing, and managing your apps easier. If you use Kubectl but wish it was easier and faster to use, K9s might be just what you're looking for!

k9s