21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Command and Conquer: Red Alert

Terraform module to create Amazon Elastic Kubernetes (EKS) resources 🇺🇦

This repository contains a collection of awesome tools and scripts for Developers and Engineers seeking to automate routine tasks on AWS Cloud.

Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.

Terratest is a Go library that makes it easier to write automated tests for your infrastructure code.

Nessie: Transactional Catalog for Data Lakes with Git-like semantics

📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.

🌊 Git-like Version Control for Data with Nessie, Iceberg, and Spark

AWS Control Tower Account Factory

Karpenter Blueprints is a list of common workload scenarios following best practices. You'll find here details of why configuring the Karpenter and Kubernetes objects in such a way is important whe…

Crossplane bespoke composition blueprints for AWS resources

AWS Controllers for Kubernetes (ACK) is a project enabling you to manage AWS services from Kubernetes

Configure and deploy complete EKS clusters.

An open source trusted cloud native registry project that stores, signs, and scans content.

This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Stre…

Curated list of project-based tutorials

📊 Path to a free self-taught education in Data Science!

⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

An open-source framework that simplifies implementation of data solutions.

React components for Cloudscape Design System

React-based web application that enables users to visualize both property graph and RDF data and explore connections between data without having to write graph queries.

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework tha…

Comprehensive guide to Algorithms and Data Structures created by me to practice important concepts for technical interviews.