#Cdk
Showing 60 of 69 repositories tagged #cdk, ranked by stars
Cloud cost intelligence for engineers, AI coding agents, and CI/CD π°π Shift FinOps Left!
Example projects using the AWS CDK
Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
Angular components library for awesome people
Rapidly build modern applications with advanced configuration management
SaaS Boilerplate - Open Source and free SaaS stack that lets you build SaaS products faster in React, Django and AWS. Focus on essential business logic instead of coding repeatable features!
Generate CloudFormation / Terraform / Troposphere templates from your existing AWS resources.
This is intended to be a repo containing all of the official AWS Serverless architecture patterns built with CDK for developers to use. All patterns come in Typescript and Python with the exported CloudFormation also included.
Amazon Q, CodeCatalyst, Local Lambda debug, SAM/CFN syntax, ECS Terminal, AWS resources
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
A collection of higher-level reusable cdk constructs
under development - React Component Development Kit with Storybook
A command-line utility for deploying serverless applications to AWS. Complete with custom domains, deploy previews, TypeScript support, and more.
Flexible Fullstack solution template for production-ready deployments of any use case on Amazon Bedrock AgentCore.
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Sample Generative AI tool for evaluating Infrastructure as Code and architecture diagrams against AWS Well-Architected best practices.
β¨ Securely connect to RDS, Elasticache, and other AWS resources in VPCs with no idle cost
Deploy a NextJS application using AWS CDK
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Rust canister development kit for the Internet Computer.
Define infrastructure resources using programming constructs and provision them using OpenTofu/Terraform
Ansible automation to have a KUBErnetes cluster INITialized as soon as possible...
Become a Certified Unicorn Developer and Participant in the API Token Economy
This repository provides best practices and template framework for developing AWS Cloud Development Kit(CDK)-based applications effectively, quickly and collaboratively.
This repository provides a general DevOps practices such MSA, IaC, CICD and Monitoring. AWS various services are used to provide DevOps best practices.
A software development framework that provides high level abstractions for authoring Kubernetes applications.
IAM policy actions autocomplete, documentation & wildcard resolution for VS Code
Prebuilt Terraform CDK (cdktf) provider for aws.
Use AWS CDK constructs in CDKTF projects
Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)
An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.
Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on AWS
A CDK (v2) Construct Library for AWS Lambda in Rust
Keep your orbit in the cloud galaxy. A typescript framework for DevOps Agent.
A complete starter kit to get your project live on AWS in minutes and a CICD pipeline to allow you to move quickly
CDK Express Pipelines is a library built on the AWS CDK, allowing you to define pipelines in a CDK-native method. It leverages the CDK CLI to compute and deploy the correct dependency graph between Waves, Stages, and Stacks using the .addDependency method, making it build-system agnostic and an alternative to AWS CDK Pipelines.
End to End example for deploying a docker container and a static frontend to AWS ECS and AWS Cloudfront
[Work in progress] Write Kubernetes manifests in TypeScript.
Projects and examples for https://www.tecracer.com/blog
AWS CDK Examples Repository
Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch
The Generative AI Newsletter Application sample is a ready-to-use serverless solution designed to allow users to create rich newsletters automatically with content summaries that are AI-generated.
Quickly set up a ready to use development environment integrated with a multi-account CI/CD pipeline following security and DevOps best practices
A CDK library that provides high-level constructs for hosting Django applications on AWS
The Terraform CDK GitHub Action allows you to run CDKTF as part of your CI/CD workflow
This repository contains different infrastructure components, CI/CD pipelines, automation tools among other resources that are used in different projects here at NaN Labs.
A collection of awesome things related to the Terraform CDK (cdktf)
This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.
L3 construct that can be used to quickly deploy a complete EC2 Image Builder Image Pipeline
Build, Test and Deploy ETL solutions using AWS Glue and AWS CDK based CI/CD pipelines
Prebuilt Terraform CDK (cdktf) provider for google.
Terraform CDK Modules
Converts HCL to Terraform CDK
6-week DevSecOps bootcamp with step-by-step instructions for participants to follow. Used out-of-the-box approach intact, blending foundational learning with chaos, gamification, and real-world simulation.
The Game Analytics Pipeline solution helps game developers to apply a flexible, and scalable DataOps methodology to their games. Allowing them to continuously integrate, and continuously deploy a scalable serverless data pipeline for ingesting, storing, and analyzing telemetry data generated from games, and services.
This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon
NestJs Modular Monolith with AWS Lambda and CDK
Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.
A free, open-source and ad-free mobile app to follow the most important exchange rates in Argentina.
π― Building Scalable Cloud-Native DataHub Serverless Application β