52 Weeks of AWS: Episode 1: O'Reilly C# on AWS book overview

Outline**Key Book Facts:*** (8 chapters: 30 pages/chapter & 240-250 total length)* Each chapter has one more more independent code examples in Github* Chapter 1:  Getting started with .NET on AWS   * What is Cloud Computing       * Types of Cloud Computing:             * IaaS           * PaaS, FaaS and Serverless           * SaaS           * MaaS       * Key Cloud Computing Concepts           * Elastic Infrastructure           * Overview of Core Services   * High-level overview of AWS       * History of AWS       * Global Infrastructure   * Using AWS       * Setting up an account       * Using AWS Console       * Setting up and Using IAM       * Setting up and Developing AWS C# SDK with:           * Quickstart of cross-platform C# app           * AWS Cloudshell           * AWS Cloud9           * Visual Studio           * Visual Studio Code and Visual Studio Codespaces on Github* Chapter 2:  AWS Core Services   * AWS Storage       * Overview of AWS Storage       * Developing with S3 Storage       * Developing with EBS Storage       * Using EFS Storage   * Using EC2 Compute       * Overview of EC2       * Using EC2       * Using EC2 Instance Types       * Using EC2 Purchase Options   * Security Best Practices for AWS       * Encryption at REST and Transit       * PLP (Principle of Least Privilege   * Developing NoSQL Solutions with DynamoDB       * What is DynamoDB       * Key DynamoDB Concepts       * Build a Sample C# DynamoDB Console App* Chapter 3:  Migrating a legacy .NET application to AWS   * Choosing a migration path       * Rehosting       * Replatforming       * Repurchasing       * Refactoring       * Retire       * Retain   * Rehosting .NET Framework       * App2Container   * Rehosting .NET Core / 5       * .NET Core Elastic Beanstalk   * Replatforming: Migrating .NET Framework       * Considerations for moving to .NET 5       * Microsoft .NET Upgrade Assistant       * AWS Porting Assistant for .NET   * Migrating Build and Deploy to AWS       * Teamcity to AWS Code Build       * Selecting Deploy Compute Target Environment* Chapter 4:  Modernizing .NET applications to Serverless   * What is “Serverless” Computing?   * Choosing the correct Serverless components for .NET on AWS       * Developing with AWS Lambda and C#       * Developing with AWS Step Functions       * Developing with services with SQS and SNS       * Developing Event Driven via AWS Triggers   * Developing Serverless .NET Microservices on AWS       * What is a Microservice according to AWS?       * Overview of AWS Microservice options       * Develop RESTful API with AWS App Runner       * Developing RESTful API with AWS Lambda, API Gateway and SAM* Chapter 5:  Containerization of .NET   * Developing with Containers on AWS       * Introduction to Containers   * Comparing Containers to Hardware Virtualization       * Advantages of Containers   * Building Microservices with Containers   * Introduction to Kubernetes       * What is Kubernetes?       * Understanding Kubernetes on AWS   * Developing with AWS Container Compatible Services       * Amazon ECR       * Amazon ECS and Fargate       * Amazon EKS       * AWS App Runner       * AWS Lambda* Chapter 6:  DevOps   * Getting started with DevOps on AWS?       * What is DevOps?       * What are AWS DevOps best practices   * Developing with CI/CD       * AWS Code Build       * AWS Code Pipeline       * Integrating 3rd party build servers           * Jenkins           * Teamcity           * Github Actions   * Developing with IAC       * What is IAC?       * Developing with Amazon CDK for IAC           * What is CDK?           * Working with CDK in C#   * Developing with Terraform for IAC* Chapter 7:  Monitoring, Instrumentation and Auditing and Testing for .NET   * Using AWS Cloudwatch       * Alarms, Logs, Metrics   * Application monitoring       * ServiceLens       * Traces, Resource Health and Synthetic Canaries   * Enabling SDK Metrics and Additional Tools   * Using AWS Cloudtrail for Security Auditing   * Continuous Delivery Key Concepts for .NET on SDK* Chapter 8: Developing with AWS C# SDK   * Using AWS Toolkit for Visual Studio in Depth       * Configuring Visual Studio for AWS Toolkit       * Special Features of Visual Studio for AWS Toolkit   * Key SDK Features       * Async APIs       * Retries and Timeouts       * Paginators   * Working with High-level AWS Services       * Using AWS Rekognition       * Using AWS Comprehend       * Using AWS SagemakerIf you enjoyed this video, here are additional resources to look at:Coursera + Duke Specialization: Building Cloud Computing Solutions at Scale Specialization: https://www.coursera.org/specializations/building-cloud-computing-solutions-at-scalePython, Bash, and SQL Essentials for Data Engineering Specialization: https://www.coursera.org/specializations/python-bash-sql-data-engineering-dukeO'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07FB8F8QP/Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B0855FSFYZPragmatic AI Labs Book: Cloud Computing for Data Analysis: https://www.amazon.com/gp/product/B0992BN7W8Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B0855NSRR7Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B0855NSRR7Subscribe to Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5QView content on noahgift.com: https://noahgift.com/View content on Pragmatic AI Labs Website: https://paiml.com/ 🔥 Hot Course Offers:🤖 Master GenAI Engineering - Build Production AI Systems🦀 Learn Professional Rust - Industry-Grade Development📊 AWS AI & Analytics - Scale Your ML in Cloud⚡ Production GenAI on AWS - Deploy at Enterprise Scale🛠️ Rust DevOps Mastery 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