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:
- Chalice
- Step Functions:
- 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)
- Load Balancer
- EMR
- EFS
- FSx
- 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
- VPC
- ECS
- AWS Batch
- 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
- Code
- Sagemaker Workshop
- Serverless
- 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
- SSO
- Webdev
- Terraform
- Cumulus Circles: Automate AWS Infra Deployment using Terraform and GitHub Actions (2022), github