Advanced AWS Architecture, Scaling & Automation

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Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this advanced course, you will dive deep into the world of AWS architecture, focusing on critical concepts like scalability, load balancing, auto-scaling, caching, and automation. You will understand how AWS tools and services can be utilized to design highly efficient, scalable, and automated cloud architectures. By exploring real-world use cases and hands-on examples, you’ll develop the skills to tackle complex cloud infrastructure challenges effectively. Throughout the course, you’ll start by learning about auto scaling and load balancing in AWS, including key services like ELB, ALB, and NLB, and their role in maintaining high availability and fault tolerance. Then, the course covers the critical area of caching with AWS services such as CloudFront, Elasticache, and DynamoDB Accelerator, demonstrating how to enhance performance and reduce latency. Moving forward, you'll explore decoupled architecture patterns with tools like SQS and SNS, laying the groundwork for more resilient and scalable application designs. Next, you will delve into automation, focusing on CloudFormation, Elastic Beanstalk, and OpsWorks to manage and deploy AWS infrastructure. The course also covers the use of containers and serverless technologies with services such as ECS, EKS, Lambda, and API Gateway. Finally, you’ll dive into data analytics in AWS, using tools like Amazon Athena, Redshift, and QuickSight to process and analyze large datasets. This course is designed for experienced cloud professionals, architects, and developers looking to deepen their expertise in designing, scaling, and automating advanced AWS architectures. By the end of the course, you will be able to design and implement complex AWS architectures, leverage scaling and load balancing techniques, automate infrastructure deployments, and work with containers and serverless applications to optimize cloud-based solutions.

Syllabus

Auto Scaling and Load Balancing

In this module, we will explore the essential concepts of scalability, elasticity, and load balancing in the AWS ecosystem. You will gain hands-on experience in deploying and managing AWS load balancers such as ALB, NLB, and Gateway Load Balancer. Additionally, we’ll cover how to configure and optimize auto scaling for your cloud applications to ensure availability, performance, and cost-efficiency.

Caching in AWS

In this module, we will introduce caching concepts and AWS caching solutions aimed at boosting application performance and reducing latency. You will explore Amazon CloudFront for global content delivery, Amazon ElastiCache for efficient data retrieval, and learn best practices for implementing caching strategies. Additionally, we’ll cover how to enhance DynamoDB performance with Amazon DAX, ensuring faster response times for your applications.

Decoupled Architecture

In this module, we will explore how applications have evolved from monolithic designs to flexible, scalable microservices and decoupled systems. You will learn how AWS services like Amazon SQS and SNS facilitate the development of decoupled architectures, improving system resilience and scalability. Additionally, we will cover common architecture patterns such as event-driven and pub/sub, showing you how to build modern, cloud-native solutions that are both efficient and adaptable.

Automation in Cloud

In this module, we will delve into the power of automation in the cloud, focusing on how it drives efficiency, reduces human error, and scales your infrastructure effortlessly. You will learn how to use AWS CloudFormation for defining and provisioning infrastructure, while also exploring AWS Elastic Beanstalk and OpsWorks for automating application deployment and server management. We’ll cover best practices and advanced features of these services to ensure that your cloud operations are streamlined and error-free.

Containers in Cloud

In this module, we will explore the world of containerization in cloud environments, starting with the fundamentals and then diving into how AWS services like ECS, EKS, and ECR make container management and orchestration easier. You’ll learn how containers provide consistency across various environments, and gain hands-on experience with setting up and managing containerized applications on AWS. Additionally, we will guide you through the process of securely storing, managing, and deploying Docker container images with Amazon ECR, ensuring efficient application deployment at scale.

Serverless in AWS

In this module, we will dive deep into the serverless computing model and how AWS provides powerful tools like AWS Lambda, API Gateway, and Step Functions to build scalable, event-driven applications without managing infrastructure. You’ll learn how to create serverless workflows with AWS Step Functions, design and manage APIs using Amazon API Gateway, and optimize Lambda functions for efficiency. Additionally, we will cover advanced features of these services to ensure your serverless applications are highly available, secure, and easy to manage at scale.

Data Analytics in AWS

In this module, we will explore how to harness the power of AWS for data analytics, covering everything from the basics of data collection and processing to advanced analytics and real-time streaming. You’ll gain hands-on experience with AWS tools like Amazon Redshift, Athena, and Glue for data processing, storage, and querying. We will also dive into services like Amazon Kinesis for real-time analytics, and Amazon QuickSight for creating rich visualizations and interactive dashboards. By the end of this module, you’ll be equipped to leverage AWS to transform raw data into actionable insights for informed decision-making.