I love SLS Framework. TS front and back it’s great for my small scale projects.

Clients want Python though and I want to stay on it with Python for the AI implementation use cases where it’s better.

So I use Python with SLS Framework for Lambdas as necessary. But I cannot get VS code / Cursor breakpoint debugging working with this stack. Internet doesn’t seem to have solved that one.

Does anyone have a suggestion for a tweak to my stack so I can do Python with breakpoints?r

So this is something I've been struggling with conceptually for a while, but recently has become a big issue for my team.

Say you're working on an event driven application, comprising of e.g. a few lambdas that fire off of things like EventBridge events, DynamoDB streams, etc...How do you actually run and test these end-to-end locally?

One way of doing this is obviously to deploy a sandbox copy of this application to the cloud, and test it there. But what if that's not an option? For instance what if part of this application needs to communicate with some overall system where it's not feasible for each developer on the team to deploy there (e.g. for cost reasons), and so needs to communicate with a local copy?

Hey all! I'm sure we have all collectively spent hours of our life just navigating around the AWS console and waiting for results to load each time.

I had made a tool a while back that helped cache results locally and simply navigate to the console which saved me a ton of time. While doing this I added searching across accounts with passive caching which turned out to be a real time saver.

I'd love to get any feedback so I can improve it. I have been using it consistently enough to justify releasing it so i hope you find it useful too.

https://www.warpserverless.com/

Join experts from AWS, Serverless Guru, and Fauna as they discuss how true serverless solutions achieve greater efficiency at lower costs in a webinar titled "Debunking Serverless Misconceptions."

Building a serverless architecture offers tremendous benefits, but it’s not without its challenges. While a well-designed serverless system can eliminate infrastructure management, optimize costs, and accelerate feature development, it also requires overcoming several obstacles to ensure cost-efficiency, scalability, and resilience. This webinar will discuss these real world challenges and how to approach them to get the most benefit from your serverless applications.

Hi all,

Novice full-stack dev here. I need your opinion regarding the tech stack + deployment of a greenfield, multi-tenant web app for which I have 2 interested customers (payment plan pending) whose pain points are resolved, with hope to have many in the future but not more than 10k users globally.

My initial impulse is to have zero deployment costs, with a dockerized monolith backend (hosted on an always-free Oracle cloud VM), an Angular frontend hosted per Netlight / Cloudflare, and database hosted on Supabase. The reasoning is that “if” I’ll have an increased demand, I’ll simply scale these services vertically, and maybe even go cloud-native in the future.

Competing with this thought are my AWS cloud skills from work, which push me to going completely serverless and using managed services to speed up development and not think about infra scaling and security down the line. However, if I do it right, with API GW, WAF, etc. I’ll incur costs from the get go (even with free tier) without having seen a single payment from the customer(s).

In your experience, which option would you recommend in such scenarios? Would you recommend I disregard the minimal costs from AWS and go cloud-first to prevent future headaches when I’m focusing on delivering features / adapting business logic, or should I experiment with all-free services to wait until I have enough customers that support putting in effort/costs to go cloud-native (given that all code needs to be refactored / changed anyway)?

The application needs a REST API to perform CRUD operations on multiple related tables in a PostgreSQL DB, and start many task queue operations per user.

https://www.reddit.com/r/cloudnativeworkshops/s/dmvYXltHzW

I'm planning to use serverless for one of api service which built using Javascript and I have chosen AWS. Need suggestions for the framework? I'm planning to use AWS serverless framework. Is there any better alternatives?

Hey I'm having trouble getting Serverless to install my packages. This tutorial mandates using Docker:

https://www.serverless.com/blog/serverless-python-packaging

But that seems complex. Is there a workaround and is Docker very important for Serverless?
Thanks