serveless | Use Node.js/Docker/GraphQL/MongoDB to build micro services | GraphQL library

I have a project that uses serverless-framework (this) to define the AWS resources to be used. I have the various .yml files that describe each resource that the project needs to run.

Recently, I've had to install several NPM packages for my lambdas and they've become very large in megabytes (>3MB), so the code is no longer viewable from the console.

Since including node_modules in each lambda is not a best practice and they are very heavy this way, I was wondering about using a Lambda Layer to share node_modules between lambdas.

As .yml I have a shared structure between all of them called provider.yml, something like:

I am following this article[1] to get a fixed IP address of my Cloud Run instance, but my project already uses cloud memorystore (Redis) which requires a VPC serveless connector that I already using.

This is my serveless connector for Redis

I’ve recently noticed some odd behavior while testing the performance of writing or reading to a MongoDB serveless cluster.

I don’t think is related to the serverless option, but as a context I’m using a new serverless cluster in AWS (Ireland region) which I interact with from my local machine.

Some demo code:

Trying to upgrade Aurora version to latest one. Before upgrading terraform plan is working fine. Once I did upgrading I'm getting:

Error: Unsupported attribute

on main.tf line 50, in locals: 50:

i'm making a migration from Table Storage to Cosmos DB. I've created a serveless Cosmos DB (Table Azure)

When i execute the below code

I use serveless & Github actions to deploy GCP functions.

serveless.ylm

I have deployed few functions in twilio serverless.If I mistakenly delet that local file from where I deployed the function.Or if this function is deployed by someone else.As there is no way to change the functions from UI,we must have to do it from cli.

The way I found is fetching,updating,building,deploying function by providing its service ,enviornment ,function ,build,deploy sid each time by function api by curl/twilio cli.Its very tedious and error prone to provide all those sid mentioned above. there should be an easy way just like when I have all the file locally and with a one twilio cli command I can change and deploy.

Whats the easiest way to download the file from serverless to local environment to change and re-deploy it again from cli just like I did first time( just run twilio serveless:deploy )?

I am using AWS Lambda and serverless framework to build a service which uses S3 to store a file.
The lambda function ("hello") works perfectly when deployed to the cloud (it has an http endpoint, I invoke it from the browser).
On the contrary, when invoked locally (serverless invoke local --function hello) I get "access denied" error:

I uploaded to AWS CloudFront my Next JS app, with the following commands:

1. Creating my Nextjs app:

   npx create-next-app

2. Create a serverless app with npx serverless using aws-nodejs template:

   npx serverless create --template aws-nodejs

3. Updated my serveless.yml defining as serveless next component:

   ...