In this tutorial, I will keep it basic to demonstrate the power of how you can trigger a AWS Lambda function on a S3 PUT event,
Lambda
A collection of 7 posts
Migrate your AWS Node.js Lambda Function to OpenFaaS
OpenFaaS Logo | Source: openfaas.comIn this tutorial we will look how to migrate your AWS Lambda function (Node.js) to OpenFaaS Why Migrate to OpenFaas?Cloud Functions are awesome as it is, it's super cheap and fits most use-cases. Then
Parallel Processing on AWS Lambda with Python using Multiprocessing
If you are trying to use multiprocessing.Queue or multiprocessing.Pool on AWS Lambda, you are probably getting the exception: [Errno 38] Function not implemented: OSError sl = self._semlock = _multiprocessing.SemLock(kind, value, maxvalue) OSError: [Errno 38] Function not implemented
How to Setup a Serverless URL Shortener with API Gateway Lambda and DynamoDB on AWS
Today we will set a Serverless URL Shortener using API Gateway, Lambda with Python and DynamoDB. Overview The service that we will be creating, will shorten URLs via our API which will create an entry on DynamoDB. When a GET
Improving Performance from your Lambda Function from the use of Global Variables
When using Lambda and DynamoDB, you can use global variables to gain performance when your data from DynamoDB does not get updated that often, and you would like to use caching to prevent a API call to DynamoDB everytime your
API Gateway with Lambda using Python on AWS to Post info to Rocketchat
Today we will setup a API Gateway which has a Lambda Function, written in Python which we will setup using the AWS CLI What we will be doing: We will setup an API Endpoint that we will use to post
Your First Python Lambda Function on AWS Using the AWS CLI Tools
Your first Lambda function on AWS with Python using the AWS CLI. Today we will use the AWS CLI Tools to create a Basic Lambda Function that will use the requests library to make a GET request to a Random
Subscribe to Sysadmins
Subscribe today and get access to a private newsletter and new content every week!