Amazon Web Services

• Access Control
  • Amazon S3 Access Control - IAM Policies, Bucket Policies and ACLs
  • Manoj Fernando: AWS IAM - Crash Course (Learn IAM in 1 hour!) (2019)
  • Medium: AWS IAM, by Manoj Fernando (2019)
  • Cloud Strategy: AWS IAM Roles: EC2 Instance Profile (2022)
• CDK or SAM:
  • CDK Workshop
  • AWS CDK Advanced Workshop
  • Event Driven System with CDK
  • Building Serverless Apps with SAM
• Chalice
  • github
  • Tutorials
• Step Functions:
  • The AWS Step Functions Workshop
  • AWS Step Functions - The Application Catalyst (webinar, 2021)
• Code Pipeline
  • Cloud Strategy: AWS CodePipeline Use case - CI CD on AWS Tutorial (2022)
• EC2
  • Load Balancer
    • Cloud With Raj: AWS Load Balancer HTTPS Setup with Route 53 and Certificate Manager & HTTP Redirect to HTTPS (2022)
• EMR
  • Amazon EMR Deep Dive and Best Practices - AWS Online Tech Talks
• EFS
  • https://www.youtube.com/watch?v=Aux37Nwe5nc (2022)
• FSx
  • Scalable and Cost-Effective Batch Processing for ML workloads with AWS Batch and Amazon FSx (2021)
  • Speed up training on Amazon SageMaker using Amazon FSx for Lustre and Amazon EFS file systems (2019)
  • netapp.com: FSx for Lustre: Use Cases, Architecture, and Deployment Options (2021)
• Networking
  • VPC
    • Enlear Academy: AWS VPC - A Crash Course (2020)
    • VPC sharing: A new approach to multiple accounts and VPC management
  • Route53
    • AWS Online Tech Talks: DNS Design Using Amazon Route 53 (2020)
    • How do I use a Route 53 Resolver inbound endpoint to resolve DNS records in a private hosted zone? (2020)
  • Private Link
    • Pythoholic: AWS PrivateLink/VPC Endpoint Service Demo (2020)
    • AWS re:Invent 2019: AWS PrivateLink deployments: DNS mechanisms for routing & resiliency (NET321)
  • VPN Client
    • Enler Academy: How to Access AWS Resources Securely via VPN? (2023)
    • Mutual authentication
    • CloudInDepth: Authenticate AWS Client VPN users with AWS IAM Identity Center (2024)
• ECS
  • KodeKloud:
    • AWS ECS Tutorial
    • ECS and EKS: What Works Best for Your Project?
• AWS Batch
  • Optimizing your AWS Batch architecture for scale with observability dashboards
  • AWS Batch Dos and Don’ts: Best Practices in a Nutshell
  • Scalable and Cost-Effective Batch Processing for ML workloads with AWS Batch and Amazon FSx
• Sagemaker
  • S.S.R. Mengle, M. Gutierrez: Mastering Machine Learning on AWS (2019), github
  • J. Simon, F. Ponchetti: Learn Amazon SageMaker (2020)
  • C. Fregly, Antje Barth: Data Science on AWS
  • Label 3D Point Clouds for Machine Learning Training Data with Amazon SageMaker Ground Truth (2020)
  • Blog
    • Create and manage Amazon EMR Clusters from SageMaker Studio to run interactive Spark and ML workloads part 1 part 2 (2021)
    • Chain custom Amazon SageMaker Ground Truth jobs for image processing (2021)
    • Announcing the Amazon S3 plugin for PyTorch (2021)
    • Dive deep into Amazon SageMaker Studio Notebooks architecture (2021)
    • Simplify data annotation and model training tasks with Amazon Rekognition Custom Labels (2021)
    • Prepare data from Snowflake for machine learning with Amazon SageMaker Data Wrangler (2021)
    • Implementing a custom labeling GUI with built-in processing logic with Amazon SageMaker Ground Truth (2021)
    • Chaining Amazon SageMaker Ground Truth jobs to label progressively (2021)
    • Introducing Amazon SageMaker Reinforcement Learning Components for open-source Kubeflow pipelines (2021)
    • Architect and build the full machine learning lifecycle with AWS: An end-to-end Amazon SageMaker demo (2021)
    • Managing your machine learning lifecycle with MLflow and Amazon SageMaker (2021)
    • Labeling mixed-source, industrial datasets with Amazon SageMaker Ground Truth (2020)
    • Labeling data for 3D object tracking and sensor fusion in Amazon SageMaker Ground Truth (2021)
    • Managing your machine learning lifecycle with MLflow and Amazon SageMaker (2021)
    • MLOps with MLFlow and Amazon SageMaker Pipelines (2021)
    • SageMaker’s Distributed Data Parallel Library
    • Amazon SageMaker Data Wrangler now supports Databricks as a data source
  • Presentations
    • AWS Innovate - Data Edition (2022)
      • Prepare data for ML with ease, speed, and accuracy
      • End-to-end ML and data science workflows with Amazon EMR and SageMaker Studio
    • Mani Khanuja: AWS On Air ft. Training Machine Learning Models at Scale using Amazon SageMaker (2022)
  • Code
    • aws-samples/aws-sagemaker-ground-truth-recipe
  • Sagemaker Workshop
• Serverless
  • Operator Guide
  • Getting started with Serverless
  • Build, Secure, Manage Serverless Applications at Scale on AWS
  • Tutorial: Using AWS Lambda with Amazon Kinesis
  • Serverless on AWS Lambda: A Comprehensive Comparison Of Approaches (Serverless Framework vs SAM vs Terraform vs CloudFormation)
  • Zappa github: simplify the deployment of Python applications on AWS Lambda and API Gateway
• SNS
  • A. Patel: AWS — Difference between SQS and SNS (2019)
  • Be A Better Dev: AWS SQS vs SNS vs EventBridge - When to Use What? (2022)
• Organizations
  • Managing Multi-Account AWS Environments Using AWS Organizations (2019)
• SSO
  • Pablo’s Spot
    • How to setup AWS SSO to manage credentials
    • How to setup Terraform Infrastructure Code for AWS Single Sign On (SSO)
  • B. Newman: Multi Account AWS with SSO in under 10 minutes (2021)
• Webdev
  • AWS Hello World
• Terraform
  • Cumulus Circles: Automate AWS Infra Deployment using Terraform and GitHub Actions (2022), github

Other

• Cloud Data Platform
• Machine Learning