lamby
serverless-graphql
lamby | serverless-graphql | |
---|---|---|
11 | 215 | |
581 | 2,708 | |
0.3% | 0.1% | |
5.9 | 0.0 | |
3 months ago | over 1 year ago | |
Ruby | JavaScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lamby
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Understanding AWS Lambda Proactive Initialization
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:
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π Goodbye Cold Starts β€οΈHello Proactive Initialization
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:
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The Elusive Lambda Console; A Specification Proposal.
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.
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The Next Generation of Serverless Is Happening
> 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
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Using Tailscale on Lambda for a Live Development Proxy
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.
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Ruby on Rails on Lambda on Arm64/Graviton2!
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.
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Rails on Docker Β· Fly
(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
- Ruby on Jets: Like Rails but Serverless
- Rails on Lambda with Lamby v4
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How to make your RoR app infinitely scale?
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.
serverless-graphql
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Testing AWS Lambda Functions (Serverless Framework) with OpenTelemetry and Tracetest
Since then, the ecosystem has changed. Using the Serverless Framework makes deployment simpler. We released the managed Tracetest App making any serverless-based systems simpler to instrument and test. You can now test public-facing apps with no infra overhead!
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The 2024 Web Hosting Report
We see some great results from using these in conjunction with frameworks such as SST or Serverless, and also some real spaghetti from people who organically proliferate 100βs of functions over time and lose track of how they relate to each other or how to update them safely across time and service. Buyer beware!
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Deploy app to AWS by using Serverless Framework
When we think about AWS serverless service, the first thing that comes to our mind is Lambda function. Yes, the quickest way to deploy this backend Express JS app to AWS is to deploy it as a Lambda function. The easiest way is using Serverless Framework.
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Lambda Scheduling & Event Filtering with EventBridge using Serverless Framework
Serverless Framework: https://www.serverless.com/
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The Top 10 GitHub Repositories Making Waves ππ
Github | Website
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Instrumenting AWS Lambda functions with OpenTelemetry SDKs
In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints.
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A Beginner's Guide to the Serverless Application Model (SAM)
Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
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π₯ The Best Serverless Framework in 2023: A Data-Driven Showdown for AWS Projects
1 - Serverless + AWS CDK + Lift: An integration that amps up the traditional Serverless Framework with Lift's static frontend construct and CDK's robust infra definition.
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Serverless Semantic Search, Free tier only
It's a bit easier in Python if you use tools like https://www.serverless.com/. I'm not sure if Rust has something similar yet.
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Trace-based Testing AWS Lambda with Tracetest, ECS Fargate, and Terraform
Serverless
What are some alternatives?
mrsk - Deploy web apps anywhere. [Moved to: https://github.com/basecamp/kamal]
LocalStack - π» A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
jets - Ruby on Jets [Moved to: https://github.com/rubyonjets/jets]
Serverless-Boilerplate-Express-TypeScript - πππ Boilerplate and Starter for Serverless framework, ExpressJS, TypeScript, Prisma and MongoDB β‘οΈ Made with developer experience first: Serverless framework + Live reload + Offline support + ExpressJS + TypeScript + ESLint + Prettier + Husky + Commitlint + Lint-Staged + Jest + Dotenv + esbuild + VSCode
socksify-ruby - Redirect any TCP connection initiated by a Ruby script through a SOCKS5 proxy
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
bgems - Binary rubygems
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
buildah - A tool that facilitates building OCI images.
electrodb - A DynamoDB library to ease the use of modeling complex hierarchical relationships and implementing a Single Table Design while keeping your query code readable.
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
chalice - Python Serverless Microframework for AWS