Pinned Repositories
AWS-SAA-C02-Course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
Blockchain
IaC-for-S3-Event-Notifications-with-AWS-SAM-AWS-CDK-and-Terraform
A notification system that triggers on s3:ObjectCreated:* events. This system will monitor an S3 bucket for new file uploads, trigger a Lambda function to process the uploaded files, send a notification using Simple Notification Service (SNS), and store metadata in a Simple Queue Service (SQS) queue for further processing.
Instrumenting-FastAPI-microservices-using-OpenTelemetry
This repository provides a guide and code examples for instrumenting FastAPI microservices with OpenTelemetry for distributed tracing and observability.
Rainfall-Prediction-end-to-end-ML-project
The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.
S3-File-Upload-Notification-using-AWS-CDK
This repository contains Infrastructure as Code (IaC) using AWS Cloud Development Kit (CDK) for implementing a responsive file upload notification system
S3-File-Upload-Notification-using-AWS-SAM
This repository contains Infrastructure as Code (IaC) using AWS Serverless Application Model (SAM) for implementing a responsive file upload notification system
S3-File-Upload-Notification-using-Terraform
This repository contains Infrastructure as Code (IaC) using Terraform for implementing a responsive file upload notification system
Techniques-for-Faster-API-Calls-for-DynamoDB-in-Python
An Experiment to Speed Up your DynamoDB API calls in Python: Comparing Python’s Async, Sync, Threading, and Multiprocessing Techniques
Visualization-and-Prediction-of-student-data
A web application for student data using various data mining algorithms. Prediction of student data (eg. CGPA) and visualization of student data, providing useful insights such as distribution of students, identifying weak students as well as excellent students, outliers.
adityawdubey's Repositories
adityawdubey/S3-File-Upload-Notification-using-AWS-SAM
This repository contains Infrastructure as Code (IaC) using AWS Serverless Application Model (SAM) for implementing a responsive file upload notification system
adityawdubey/AWS-SAA-C02-Course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
adityawdubey/Blockchain
adityawdubey/IaC-for-S3-Event-Notifications-with-AWS-SAM-AWS-CDK-and-Terraform
A notification system that triggers on s3:ObjectCreated:* events. This system will monitor an S3 bucket for new file uploads, trigger a Lambda function to process the uploaded files, send a notification using Simple Notification Service (SNS), and store metadata in a Simple Queue Service (SQS) queue for further processing.
adityawdubey/Instrumenting-FastAPI-microservices-using-OpenTelemetry
This repository provides a guide and code examples for instrumenting FastAPI microservices with OpenTelemetry for distributed tracing and observability.
adityawdubey/Rainfall-Prediction-end-to-end-ML-project
The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.
adityawdubey/S3-File-Upload-Notification-using-AWS-CDK
This repository contains Infrastructure as Code (IaC) using AWS Cloud Development Kit (CDK) for implementing a responsive file upload notification system
adityawdubey/S3-File-Upload-Notification-using-Terraform
This repository contains Infrastructure as Code (IaC) using Terraform for implementing a responsive file upload notification system
adityawdubey/Techniques-for-Faster-API-Calls-for-DynamoDB-in-Python
An Experiment to Speed Up your DynamoDB API calls in Python: Comparing Python’s Async, Sync, Threading, and Multiprocessing Techniques
adityawdubey/Visualization-and-Prediction-of-student-data
A web application for student data using various data mining algorithms. Prediction of student data (eg. CGPA) and visualization of student data, providing useful insights such as distribution of students, identifying weak students as well as excellent students, outliers.
adityawdubey/Daily-Expenses-Sharing-app
adityawdubey/SigVerify
Signature Forgery Detection