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The cloud has achieved an air of invincibility, and solutions such as Amazon Web Services (AWS) make cloud computing look so appealing. But building a good application on any platform is difficult. There will always be outages, small and large. Are you prepared to handle them? 'Resilience and Reliability on AWS' helps you answer that and many other questions.
The cloud has achieved an air of invincibility, and solutions such as Amazon Web Services (AWS) make cloud computing look so appealing. But building a good application on any platform is difficult. There will always be outages, small and large. Are you prepared to handle them? 'Resilience and Reliability on AWS' helps you answer that and many other questions.
"Cloud services are vulnerable to network and other outages. When your applications are not performing as they should, no one is happy. However, applications can be designed to be resilient and responsive under demand while hosted in the cloud with Cloud hosted applications at AWS. In this course, you'll learn how to prepare for potentially devastating interruptions by building your own resilient and reliable applications in the public cloud. You'll explore the steps to properly host and automatically scale applications hosted in the cloud. You'll also take a look at load-balancing, backed with autoscaling, driven by the CloudWatch monitoring service producing an automated solution methodology. By the end of the course, you will be able to achieve application resiliency, autoscaling, and failover with your applications hosted in the Amazon cloud."--Resource description page.
To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively, thinking that because the cloud is resilient, their applications will be too. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs. Authors Kevin Schwarz, Jennifer Moran, and Dr. Nate Bachmeier from AWS teach you how to build cloud applications that demonstrate resilience with patterns like back off and retry, multi-Region failover, data protection, and circuit breaker with common configuration, tooling, and deployment scenarios. Labs are organized into categories based on complexity and topic, making it easy for you to focus on the most relevant parts of your business. You'll learn how to: Configure and deploy AWS services using resilience patterns Implement stateless microservices for high availability Consider multi-Region designs to meet business requirements Implement backup and restore, pilot light, warm standby, and active-active strategies Build applications that withstand AWS Region and Availability Zone impairments Use chaos engineering experiments for fault injection to test for resilience Assess the trade-offs when building resilient systems, including cost, complexity, and operational burden
Implement a reliable application architecture using the patterns and best practices recommended by AWS. About This Video 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 In Detail 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.
To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively, thinking that because the cloud is resilient, their applications will be too. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs. Authors Kevin Schwarz, Jennifer Moran, and Dr. Nate Bachmeier from AWS teach you how to build cloud applications that demonstrate resilience with patterns like back off and retry, multi-Region failover, data protection, and circuit breaker with common configuration, tooling, and deployment scenarios. Labs are organized into categories based on complexity and topic, making it easy for you to focus on the most relevant parts of your business. You'll learn how to: Configure and deploy AWS services using resilience patterns Implement stateless microservices for high availability Consider multi-Region designs to meet business requirements Implement backup and restore, pilot light, warm standby, and active-active strategies Build applications that withstand AWS Region and Availability Zone impairments Use chaos engineering experiments for fault injection to test for resilience Assess the trade-offs when building resilient systems, including cost, complexity, and operational burden
To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively, thinking that because the cloud is resilient, their applications will be too. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs. Authors Kevin Schwarz, Jennifer Moran, and Dr. Nate Bachmeier from AWS teach you how to build cloud applications that demonstrate resilience with patterns like back off and retry, multi-Region failover, data protection, and circuit breaker with common configuration, tooling, and deployment scenarios. Labs are organized into categories based on complexity and topic, making it easy for you to focus on the most relevant parts of your business. You'll learn how to: Configure and deploy AWS services using resilience patterns Implement stateless microservices for high availability Consider multi-Region designs to meet business requirements Implement backup and restore, pilot light, warm standby, and active-active strategies Build applications that withstand AWS Region and Availability Zone impairments Use chaos engineering experiments for fault injection to test for resilience Assess the trade-offs when building resilient systems, including cost, complexity, and operational burden
The AWS Well-Architected Framework was designed to help architects build secure, high-performing, resilient, and efficient infrastructure for their applications. The framework is comprised of five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. In this course, designed as part of a six-part series covering the AWS Well-Architected Framework, take a deeper look at the third pillar: reliability. Discover the purpose and place of the reliability pillar, plus key AWS reliability services such as CloudWatch. Learn about designing reliable infrastructure with Availability Zones, load balancing (ELB), and DNS (Route 53). Along the way, review demonstrations of real-world challenges and see how to implement key services to prevent-and recover from-failures.
DESCRIPTION Chaos Engineering with Go is your essential guide to building resilient systems. In today's complex distributed environments, ensuring system reliability is paramount. By introducing controlled chaos into your systems, you can identify weaknesses and fortify them before they become critical failures. This book explores chaos engineering, offering a complete guide to building resilient systems. Starting with basic concepts and Go programming, it moves to chaos engineering topics like fault tolerance, fault injection, and chaos testing. Readers will learn to design and run chaos experiments using various tools and techniques. The book highlights the importance of monitoring and observability to understand system behavior. It includes practical case studies and best practices, ending with an in-depth look at security chaos engineering and emerging technologies. This book also emphasizes implementing observability practices within chaos engineering workflows, enhancing your ability to reduce downtime and improve system reliability. With a keen focus on best practices and lessons learned, this book equips readers with the knowledge and tools needed to embrace chaos, ensuring robust and reliable systems in an ever-evolving digital landscape. KEY FEATURES ● Master the core concepts and unique principles of chaos engineering. ● Resilience patterns for unstoppable microservices. ● Hands-on chaos experiments for real-world resilience. WHAT YOU WILL LEARN ● Grasp fundamental concepts and principles of chaos engineering. ● Implement fault tolerance and resilience patterns using Go. ● Design and execute effective chaos experiments to test system resilience. ● Utilize cutting-edge tools for chaos testing and fault injection. ● Integrate observability practices into chaos engineering workflows. ● Apply security chaos engineering and learn from real-world case studies. WHO THIS BOOK IS FOR The book caters to both beginners and experienced professionals interested in enhancing system integrity and reducing downtime. Ideal for site reliability engineers (SREs), DevOps engineers, enterprise architects, tech professionals, and college students. TABLE OF CONTENTS 1. Exploring the Essence of Chaos Engineering 2. Chaos Engineering Concepts 3. Revision with Go 4. Fault Tolerance and Resilience Patterns 5. Chaos Fault Injection Techniques 6. Chaos Testing Tools 7. Chaos Experiment Design 8. Chaos with Emerging Tech Stack 9. Essence of Observability in Distributed System 10. Observability in Chaos Engineering 11. Security Chaos Engineering Overview 12. Case Studies: Chaos Engineering in Action 13. Best Practices and Lessons Learned