AWS Rekognition is an event-driven, serverless data processing pipeline that leverages AWS services to perform image processing and analysis on user-submitted image files.
-
Updated
Nov 28, 2024 - HCL
AWS Rekognition is an event-driven, serverless data processing pipeline that leverages AWS services to perform image processing and analysis on user-submitted image files.
A modern GitOps CLI that navigates infrastructure complexity like ancient Solar Boats guided Pharaohs through the celestial journey. Streamlines Terraform operations and Kubernetes deployments.
🐺 A Fast, Secure and Reliable Terraform Backend, Set up in Minutes.
Terraform Starter Kit
AWS Comprehend is an event-driven, serverless data processing pipeline that leverages AWS services to perform natural language processing and analysis on user-submitted text files.
Generate Terraform configurations with Node.js.
The project automates the deployment of a cloud-based virtual machine with Docker using Terraform. It sets up Nginx, Let's Encrypt, MonoMap API, and MongoDB. The MonoMap API manages Monkeypox case data with CRUD operations. Everything is orchestrated via Docker Compose and managed through GitHub Actions for CI/CD.
Terraform Module S3 Demo is a work-in-progress repository for creating and managing AWS S3 buckets using Terraform, aimed at demonstrating the setup and use of modular infrastructure as code practices.
Comprehensive set of Terraform coding standards designed for enterprise-level projects
Terraform code snippets
Bot for Yandex Cloud using Terraform
Template repo for Terraform modules
Terraform configurations for provisioning and managing infrastructure across AWS, Azure, and GCP.
Introduction to terraform basics.
This repository features my project on creating AWS-3-TIER-INFRASTRUCRE using terraform. Also, the different branches features my learning of terraform and guided project by following playlist of Abhishek Veeramalla.
A Terraform module to create AWS resources which are used to automatically take backup of all the parameters residing on AWS SSM Parameter Store in JSON format and store it on AWS S3 bucket using AWS Lambda function based on Python. It is executed daily via AWS CloudWatch or AWS EventBridge.
This project sets up a CI/CD pipeline using GitHub Actions to automate the deployment of AWS VPC resources with Terraform. The setup includes Terraform scripts for defining infrastructure and GitHub Actions workflow for automating the deployment process.
Repository with configuration files, tf cli commands for exploring core functionalities of HashiCorp Terraform v1.1
TerraLabs | Terraform labs | Beginners | Intermediate | Advanced
Setup a Kind cluster with Prometheus and Grafana installed using Terraform
Add a description, image, and links to the terraform-project topic page so that developers can more easily learn about it.
To associate your repository with the terraform-project topic, visit your repo's landing page and select "manage topics."