lamby VS runner-images

AWS Serverless Hero Ken Collins maintains a very popular Rails-Lambda package. After some discussion, he added the capability to track Proactive Initializations and came to a similar conclusion - in his case after a 3-day test using Ruby with a custom runtime, 80% of initializations were proactive:

This means the Monitoring with CloudWatch is just half the picture. But how much is your application potentially benefiting from proactive inits? Since Lamby v5.1.0, you can now find out easily using CloudWatch Metrics. To turn metrics on, enable the config like so:

After years of smashing Cloud & Rails together, I've come up with an idea. Better than an idea, a working specification! One where us Rails & Lambda enthusiasts can once again "console into" our "servers" and execute CLI tasks like migrations or interact via our beloved IRB friend, the Rails console. Today, I would like to present, the Lambda Console project. An open specification proposal for any AWS Lambda runtime to adopt.

> Does this mean you have a cron job just pinging the serverless function every 3 minutes? I'm curious how much this adds on to your costs. It means that the whole "don't pay for non-usage" thing is not quite true, but maybe it's still significantly cheaper than running an EC2 instance or whatnot. I'm curious about the cost calculation here.

Yes, specifically it kicks off a Lambda function that does a parallel GET to our website at a special endpoint that has a 100ms "wait" and basic DB call. This keeps the lambda process alive/in-memory.

To keep a function alive costs ~125ms (100ms wait + 25ms full func roundtrip). every 3 minutes. ~0.041% of 1x CPU time. Our website server costs are tiny and lower for Staging and UAT. Benefit - can scale to 1000x (AWS Limit) servers at the speed of your cold start time.

> Another thing I'm curious about, since you have a container-based deployment, did you compare with Fargate?

Yes we use Fargate for our core product which is built in Rails before containers could be deployed in Lambda. Rails works fine on Lambda[0] but the transition cost wasn't worth it for us. Fargate is great, but as you point out it is expensive if your application isn't a user heavy one like ours. To be highly available, we always have a minimum of 2 online but we're a b2b application so our night usage, 10pm-6am is zero. But I have 2 machines just sitting there. This is why i love Lambda >> Fargate.

Also, scalaing Fargate machines is slow if you get a traffic spike.

[0] https://github.com/rails-lambda/lamby

If you are curious to learn more about how Rails & Lambda work together, check out our Lamby project. The architecture of Lambda Containers works so well with Rails since our framework distills everything from HTTP, Jobs, Events, & WebSocket connections down to amazing CMD Docker contract. The architecture above at the proxy layer was easy to build and connect up to our single delegate function, Lamby.cmd. Shown below.

Today I am happy to announce that Lamby (Simple Rails & AWS Lambda Integration using Rack) now demonstrates just how easy it is to use multi-platform arm64 images on AWS Lambda. If this sounds interesting to you, jump right into our Quick Start guide and deploy a new Rails 7 on Ruby 3.2 Ubuntu image to see it for yourself.

(I have not actually used this myself). The folks over at CustomInk maintain Lamby, a project to run Rails in a quickly-bootable Lambda environment. Might be worth checking out, if you otherwise do enjoy working with Rails: https://lamby.custominktech.com

In any case you can try out https://github.com/customink/lamby which is a gem responsible to allow to run a ror app native on aws lambda.

Yeah this is a good option if you'd like something to deploy yourself! You can also build an AMI from GitHub's upstream image definition (https://github.com/actions/runner-images/tree/main/images/ub...) if you'd like it to match what's available in GitHub-hosted Actions.

With Depot, we're moving towards deeper performance optimizations and observability than vanilla GitHub runners - we've integrated the runners with a cache storage cluster for instance, and we're working on deeper integration with the compute platform that we built for distributed container image builds - as well as expanding the types of builds we can process beyond Actions and Docker, for instance.

But different options will be better for different folks, and the `philips-labs` project is good at what it does.

Whoa, there's a lot of stuff in there [1] that gets installed straight from vendors, without pinning content checksums to a value known-good to Github.

I get it, they want to have the latest versions instead of depending on how long Ubuntu (or, worse, Debian) package maintainers take to package stuff into their mainline repositories... but this attack surface is nuts.

[1] https://github.com/actions/runner-images/tree/main/images/ub...

I had a similar experience with ARC (actions-runner-controller).

One of the machines in the fleet failed to sync its clock via NTP. Once a job X got scheduled to it, the runner pod failed authentication due to incorrect clock time, and then the whole ARC system started to behave incorrectly: job X was stuck without runners, until another workflow job Y was created, and then X got run but Y became stuck. There were also other wierd behaviors like this so I eventually rebuilt everything based on VMs and stopped using ARC.

Using VMs also allowed me to support the use of the official runner images [0], which is good for compatibility.

I feel more people would benefit from managed "self-hosted" runners, so I started DimeRun [1] to provide cheaper GHA runners for people who don't have the time/willingness to troubleshoot low-level infra issues.

[0]: https://github.com/actions/runner-images

Reminds me: Still waiting for native ARM support on GitHub Actions https://github.com/actions/runner-images/issues/5631

Used https://github.com/actions/runner-images to get the packages needed for Ubuntu 22.04 As the packer requires a builder, I used "null" builder to set it as localhost ref: https://developer.hashicorp.com/packer/docs/builders/null (It was way difficult to figure it out the 1st time) I had to modify the .pkr.hcl file to pick my provisioners. I could not understand the use of /opt/hostedtoolcache folder (which I did later)