action-hosting-deploy
sst
action-hosting-deploy | sst | |
---|---|---|
8 | 179 | |
655 | 20,214 | |
1.2% | 2.5% | |
2.9 | 9.8 | |
23 days ago | 6 days ago | |
TypeScript | TypeScript | |
Apache License 2.0 | 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.
action-hosting-deploy
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What are the best practices to hide sensitive information in your open source project
Could they not have their own FB to develop against? Does every dev need to use just yours? If that is the case, then you'd need to use https://support.google.com/firebase/answer/7000272?hl=en also, it looks to be possible to include Firebase in your GitHub for them to pull from https://firebase.google.com/docs/hosting/github-integration
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Anyone interested in a website that allows pushing to Firebase Hosting in just a couple of clicks?
Github Actions is the way to go for this: https://firebase.google.com/docs/hosting/github-integration
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Taiga UI: A year in Open Source
Whenever a Pull Request is created we need to be able to quickly checkout the changes. Reading code diff is great, but sometimes you just need to tinker with the new version, test it on mobile, different browsers and OS. Cloud services are perfect for this case, they allow you to deploy the code temporarily and access it with a link from any device. We chose Firebase to host it for us and a Github action posts a link to the deployment as a comment in the Pull Request. It works like a charm and speeds up code reviews a lot. Read this article to set it up on your repository!
- Firebase: Deploy to live and preview channels via GitHub pull requests
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Ask HN: Solo-preneurs, how do you DevOps to save time?
Lambdas and firebase on the GCP stack for CRUD apps.
One nice thing about firebase -> each PR deploys to its own preview channel[1].
Downside: Very JS heavy. I write lambdas in python though.
[1] https://firebase.google.com/docs/hosting/github-integration
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Autodeploy subdirectory to Firebase
Google Firebase has a pretty straightforward guide to setting up auto-deploy from Github, which you can take a look at here: https://firebase.google.com/docs/hosting/github-integration
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[Help] First time setting up Github (actions?) for Firebase Functions
What is the easiest way for setting up CI/CD from GH for Firebase functions? Maybe something like this for hosting, but only for functions?
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3 steps for handling GitHub Workflow Secrets
Note: you can find more info about the used steps actions here actions/checkout@v2 and here FirebaseExtended/action-hosting-deploy@v0
sst
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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 100’s 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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Hono v4.0.0
> But if you have a sufficiently large enough API surface, doing one lambda per endpoint comes with a lot of pain as well. Packaging and deploying all of those artifacts can be very time consuming, especially if you have a naive approach that does a full rebuild/redeploy every time the pipeline runs.
Yeah, thankfully SST [0] does the heavy lifting for me. I've tried most of the solutions out there and SST was where I was the happiest. Right now I do 1 functions per endpoint. I structure my code like url paths mostly, 1 stack per final folder, so that the "users" folder maps to "/users/*" and inside I have get/getAll/create/update/delete files that map to GET X/id, GET X, POST X, POST X/id, DELETE/id. It works out well, it's easy to reason about, and deploys (a sizable a backend) in about 10min on GitHub Actions (which I'm going to swap out probably for something faster).
I agree with the secrets/permissions aspect and I like that it's stupid-simple for me to attach secrets/permissions at a low level if I want.
I use NodeJS and startup isn't horrible and once it's up the requests as very quick. For my needs, an the nature of the software I'm writing, lambda makes a ton of sense (mostly never used, but when it's used it's used heavily and needs to scale up high).
[0] https://sst.dev
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Lambda to S3: Better Reliability in High-Volume Scenarios
We will start by building a project with SST that provisions an API Gateway, a Lambda, and an S3 bucket. Once implemented, we'll look into testing for concurrent write conflicts or exceeding capacity limits.
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How I saved 90% by switching NATs
I recently deployed a node websocket server using the SST Service construct. Until this point my stack had been functions and buckets. While I had no users 😢, I also had no costs 🤡.
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Ask HN: What web development stack do you prefer in 2024?
Most my personal and side-business projects have very spiky load or just low load in general. Because of that I love using AWS Lambda as my backend since it scales to 0 and scales to whatever you have your limits set at.
I use SST [0] for my backend with NodeJS (TypeScript) and Vue (Quasar) for my frontend. For my database I use either Postgres or DynamoDB if the fit is right (Single Table Design is really neat). For Postgres I like Neon [1] though their recent pricing changes make it less appealing.
[0] https://sst.dev
[1] https://neon.tech
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Meta's serverless platform processing trillions of function calls a day (2023)
Yup. Entire core business product for a succeeding startup, though it's a small team of contributors (<10), and a much smaller platform team. Serverless backend started in 2018. Been a blessing in many regards, but it has its warts (often related to how new this architecture is, and of course we've made our own mistakes along the way).
I really like the model of functions decoupled through events. Big fan of that. It's very flexible and iterative. Keep that as your focus and it's great. Be careful of duplicating config, look for ways to compose/reuse (duh, but definitely a lesson learnt) and same with CI, structure your project so it can use something off-the-shelf like serverless-compose. Definitely monorepo/monolith it, I'd be losing my mind with 100-150 repos/"microservices" with a team this size. If starting now I'd maybe look at SST framework[0] because redeploying every change during development gets old fast
I couldn't go back to any other way to be honest, for cloud-heavy backends at least. By far the most productive I've ever been
Definitely has its warts though, it's not all roses.
[0] http://sst.dev
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Building a sophisticated CodePipeline with AWS CDK in a Monorepo Setup
Along the way, you find an excellent framework, SST. Which is much faster than CDK and provides a better DX1. Here is how you then define your MultiPipelineStack.
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Create a Next.js Server Component S3 Picture Uploader with SST
SST is a powerful framework that simplifies the development of serverless applications. It offers a straightforward and opinionated approach to defining serverless apps using TypeScript. Built on top of AWS CDK, SST handles the complexity of setting up your serverless infrastructure automatically. SST is an open-source framework and is completely free to use.
- SST – modern full-stack applications on AWS
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Do you believe AI will replace your job?
SST is an open-source framework designed to facilitate the development and deployment of Serverless stacks on AWS. It operates under the hood by integrating with Amazon CDK. However, its primary benefit is in allowing us to concentrate on creating resources using familiar languages like TypeScript, treating them as Infrastructure as Code (IaC).
What are some alternatives?
firebase-tools - The Firebase Command Line Tools
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
flyctl - Command line tools for fly.io services
vite - Next generation frontend tooling. It's fast!
golang-samples - Sample apps and code written for Google Cloud in the Go programming language.
aws-cdk - The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
flux2 - Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
esbuild - An extremely fast bundler for the web
ngx-scully-blog - A simple blog made for developers that is easy to setup, supports SEO, Google Adsense, Google Analytics, Facebook Pixel, and many more
docker-lambda - Docker images and test runners that replicate the live AWS Lambda environment
parsemail - Hanami fork of https://github.com/DusanKasan/parsemail
serverless-offline - Emulate AWS λ and API Gateway locally when developing your Serverless project