ECR repositories and credentials for the Cloud Platform
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Updated
Oct 7, 2024 - HCL
ECR repositories and credentials for the Cloud Platform
CircleCI orb for interacting with Amazon's Elastic Container Registry (ECR)
Allowing K8S to refresh expiring ECR tokens outside of EKS
Terraform module to create AWS ECR resources 🇺🇦
End-to-end project predicting customer churn using ML, Apache Airflow, Docker, Flask and AWS services.
Creates an AWS ECR Repository
Project Description: System Monitoring Application Deployment Objective: The primary goal of this project was to develop and deploy a scalable system monitoring application using modern DevOps and cloud technologies. The application was designed to monitor various system metrics and provide insights into system performance and health. Technologies
Comprehensive Backend API Development and Deployment
This is a demonstration project showcasing the deployment of a simple Node.js "Hello World" application on AWS using ECS (Fargate) leveraging IAC (Terraform).
This project involves the development of a scalable game recommendation system. The primary objective is to provide users with relevant game recommendations based on their queries.
AWS Fargate & Elastic Container Service Masterclass - Course
Terraform module for ECR repository creation with a dedicated SSM parameter to store the active tag
This repo contains an end-to-end solution for predicting product back-orders using machine learning. It includes data preprocessing, model training, and evaluation tools, designed to help businesses mitigate supply chain disruptions
Implementation of a question-answering system utilizing Large Language Models (LLMs) like Llama, Stable AI, and Amazon Titan via AWS Bedrock, Retrieval-Augmented Generation (RAG) techniques, and vector database
An end-to-end predictive maintenance application using machine learning to enhance industrial efficiency. This project employs robust modular architecture and advanced MLOps practices, including Docker and AWS for scalable, real-time maintenance predictions.
Welcome to the Langchain_QA app repository, a powerful tool built on Google Gemini technology. Our QA app is designed to efficiently implement the RAG (Retrieval-Augmented Generation) model, leveraging cutting-edge technologies including Langchain, Chainlit, and Gemini for lightning-fast query search and response generation.
Library Management System
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