Previous Serverless Version 0.5.x
aws-cdk
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Previous Serverless Version 0.5.x | aws-cdk | |
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90 | 263 | |
46,027 | 11,121 | |
0.3% | 1.2% | |
8.4 | 9.9 | |
6 days ago | 6 days ago | |
JavaScript | TypeScript | |
MIT License | Apache License 2.0 |
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.
Previous Serverless Version 0.5.x
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The Top 10 GitHub Repositories Making Waves 🌊📊
Github | Website
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[p] I built an open source platform to deploy computationally intensive Python functions as serverless jobs, with no timeouts
- With Lambda, you manage creating and building the container yourself, as well as updating the Lambda function code. There are tools out there such as sst or serverless.com which help streamline this.
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AWS Lambda, a good host for a rest API?
If you'd like to use Lambda, usually you need to engineer FOR it, from day one, you don't (often) get to choose some other framework and shoehorn it into Lambda and Serverless. There's some great frameworks to help deploy code into Lambda easily and create REST endpoints for things, one such frameworks is serverless.com that helps easily deploy to it, but it lacks a framework for doing REST that also supports local emulation (as easily). For that, I recommend a framework by AWS called Chalice. This is an amazing REST framework that runs a proxy that works locally and deploys exactly the same on Lambda, it is Python however.
- First time building microservice-based application
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Key learnings after 10h diving into Lambda, js and Github Actions
After knocking out a README with a set of goals and a list of TODOs to check off as I made progress, I spent about 10 hours over a weekend trying to get something to work. I used serverless for making Lambda easier, Github Actions for the deploy pipeline and store my credentials; and sadly I rolled my own access_token refresh logic because I couldn't find a helper that just did that for me! wtf!?
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What tech-stack to use for a solo dev that can prioritize product iteration and scale?
The backend is built with serverless.com (lambda, dynamodb, sqs, appsync). The good thing is that all the backend is stored in a file and you can deploy multiple stacks on the same account using seed.run . You don't really need EC2/Fargate when you have lambdas and you know that most of the time will be idle time. The same with cache I wouldn't think of it right now until you see the workload you are facing. Dynamodb once you understand it and have a proper design it's the fastest thing you can have. On my appsync calls I'm using Dynamodb as a cache because it's cheaper...
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Creating and managing an AWS MSK Cluster and Configuration
Apache Kafka allows for asynchronous communication in a distributed ecosystem. It allows producers to publish messages on topics that are then ingested by consumers interested in those topics. As a concept, pub-sub models have been around for ages. However, the beauty of Kafka is in the how — using partitions and consumer groups, Kafka can scale the rate of consumption of messages with minimal dev and economic overhead. In this tutorial, I’ll take you through how to provision a managed Kafka cluster using the AWS Managed Stream for Kafka (MSK) service. We’ll use the serverless framework to create and maintain the infrastructure for MSK and the supporting VPCs, subnets, etc.
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Do some developers actually, REALLY, have no local environment and run everything in AWS? Is the individual cloud dev environment a real alternative to having things running locally?
I run my personal project on AWS. I has been running for 4+ years now and I never had a local environment. I took the serverless route. That is appsync, lambda, dynamodb, sqs to build the stack. I'm using serverless.com to have all the resources defined in a yaml files which will deploy multiple stacks. I'm using seed.run to manage that part because it's much more simple than to do it manually.
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Use IAM Identity Center (AWS SSO) to protect your Cloudfront served application
The solution is deployed using serverless.com
aws-cdk
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Building an Amazon Location Service Resources with AWS CDK and AWS CloudFormation
Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator.
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DevSecOps with AWS- IaC at scale - Building your own platform - Part 1
AWS Cloud Development Kit (CDK): is an open-source software development framework to define your cloud application resources using familiar programming languages.
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Cloud, why so difficult? 🤷♀️
I am not one to build programming languages on a whim. In fact, I've spent the last five years building the AWS CDK, which is a multi-language library that addresses some of the challenges I am talking about by allowing developers to define cloud infrastructure using their favorite programming language.
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Create a Next.js Server Component S3 Picture Uploader with SST
I recently started exploring SST as an alternative to my favorite full-stack set consisting of Projen, AWS CDK, and React. I have been thoroughly impressed with the experience so far. In this article, I will demonstrate how to create a Next.js App Router S3 Picture Uploader using SST.
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
AWS CDK
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Building Serverless Applications On AWS: A Practical Guide To Managing Event Processing
Here is a github repository containing the code and instructions on how to automate this whole setup using AWS CDK.
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How to Implement and Deploy a Smart Contract Event Listener with AWS CDK
Now that you have a working smart contract event listener, we'll deploy the resources to AWS using AWS CDK, which is an Infrastructure as Code (IaC) tool. AWS CDK allows you to configure, deploy, and manage AWS cloud resources using popular programming languages such as TypeScript.
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The Ultimate Guide to Building Internal Tools in 2024
Amazon CDK is an excellent example of an internal tool (which they’ve since open-sourced) for defining resources for your cloud application using well-known programming languages.
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What's Next for CDK? 👀
This is actually already available but is still an experimental feature so there are no guarantees about the outcome or stability of the functionality.
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AWS Data Engineer Associate Certification - Coming Soon
Interestingly, AWS CDK and SAM are both explicitly mentioned. While CDK broadly addresses Infrastructure as Code, SAM is highlighted for its role in developing serverless data pipelines - a hugely underrated concept.
What are some alternatives?
Zappa - Serverless Python
sst - Build modern full-stack applications on AWS
apex
aws-cdk-local - Thin wrapper script for using the AWS CDK CLI with LocalStack
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
ts-node - TypeScript execution and REPL for node.js
python-lambda - A toolkit for developing and deploying serverless Python code in AWS Lambda.
diy-sveltekit-cdk-adapter - An exercise on deploying SvelteKit with CDK
SvelteKit - web development, streamlined
drover - Drover is a command-line utility for deploying Python packages to Lambda functions.
cdk8s - Define Kubernetes native apps and abstractions using object-oriented programming
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform