Implement a reliable application architecture using the patterns and best practices recommended by AWS.
Key Features
- Understand the core principles behind building reliable applications and how AWS helps to support these
- Take a Python application and architect it for reliability using AWS services
- Deploy a globally accessible, fault-tolerant web application on the AWS cloud by employing a combination of infrastructure and application resilience patterns
Book Description
Reliability in AWS includes the ability of a system to recover from infrastructure or service disruptions. It's essential to acquire computing resources to meet the demand, and mitigate disruptions such as configuration issues or transient network problems.
In this course, you will first explore the key concepts and core services of AWS and Site Reliability Engineering (SRE). We show you step-by-step how to implement a real-world application that is built via the reliability principles defined within the AWS Well-Architected Framework using the SRE approach. So you can increase the reliability of application architectures on AWS by implementing resilience infrastructure and application resilience.
You will be covering some common architectural patterns used every day by real-world AWS solution architects to build reliable systems and implement fault tolerance into an application architecture running on AWS. While learning how to further increase the reliability of application architectures on AWS by implementing multi-region solutions for disaster recovery on a global scale.
By the end of this course, you will have gained a variety of AWS architecture skills that you can then apply to the real world.
All the supporting codes and files are placed here https://github.com/PacktPublishing/Site-Reliability-Engineering-on-AWS
What you will learn
- Understand the core principles of Site Reliability Engineering, and how cloud computing enables this
- Design applications for fault tolerance, auto-healing, resilience, and reliability
- Examine a simple python microservice ecosystem and understand its limitations
- Identify critical stack components, and redesign them so they re resilient and reliable
- Map design changes to native AWS services with ease
- Deploy redesigned applications in a globally accessible, resilient, and reliable way
Who this book is for
Java developers, software engineers, students, or anyone who needs a thorough, reliable, and easy to understand resource that will help them move ahead in their career, will find this course useful.
Prior experience with coding in Java is assumed.
