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.

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 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.

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TAGLINE Building Tomorrow's Enterprise: Embracing the Multi-Cloud Era with AWS, Azure, and GCP. KEY FEATURES ● Comprehensive guide to multi-cloud architecture designs and best practices. ● Expert insights on networking strategies and efficient DNS design for multi-cloud. ● Emphasis on security, performance, cost-efficiency, and robust disaster recovery. DESCRIPTION This book is a comprehensive guide designed for IT professionals and enterprise architects, providing step-by-step instructions for creating and implementing tailored multi-cloud strategies. Covering key areas such as security, performance, cost management, and disaster recovery, it ensures robust and efficient cloud deployments. This book will help you learn to develop custom multi-cloud solutions that align with the organization's specific needs and goals. It includes in-depth discussions on cloud design patterns, architecture designs, and industry best practices. The book offers advanced networking strategies and DNS design insights to optimize system reliability, scalability, and performance. Practical tips help readers navigate the complexities of multi-cloud environments, ensuring seamless integration and management across different cloud platforms. Whether new to cloud concepts or an experienced practitioner looking to enhance your skills, this book equips you with the knowledge and tools needed to excel in your role. By following expert guidance and best practices, you can confidently design and implement multi-cloud strategies that foster innovation and operational excellence in your organization. WHAT WILL YOU LEARN ● Understand the fundamentals and benefits of multi-cloud environments. ● Gain a solid grasp of essential cloud computing concepts and terminologies. ● Learn how to establish a robust foundation for multi-cloud deployments. ● Implement best practices for securing and governing multi-cloud architectures. ● Design effective network solutions tailored for multi-cloud environments. ● Optimize DNS design and management across multiple cloud platforms. ● Apply architecture design patterns to enhance system reliability and scalability. ● Manage costs effectively and implement financial operations in a multi-cloud setting. ● Leverage automation and orchestration to streamline multi-cloud operations. ● Monitor and manage performance and health across various cloud services. ● Ensure robust disaster recovery and build resilient systems for multi-cloud. WHO IS THIS BOOK FOR? This book is for IT professionals, cloud architects, enterprise architects, and cloud engineers with a basic understanding of cloud computing concepts. It is ideal for those looking to deepen their knowledge of multi-cloud strategies and best practices to enhance their organization's cloud infrastructure. TABLE OF CONTENTS 1. Getting Started with Multi-Cloud 2. Cloud Computing Concepts 3. Building a Solid Foundation 4. Security and Governance in Multi-Cloud 5. Designing Network Solution 6. DNS in a Multi-Cloud Landscape 7. Architecture Design Pattern in Multi-Cloud 8. FinOps in Multi-Cloud 9. The Role of Automation and Orchestration 10. Multi-Cloud Monitoring 11. Resilience and Disaster Recovery Index

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

Pass the AWS Certified Database- Specialty Certification exam with the help of practice tests Key Features • Understand different AWS database technologies and when to use them • Master the management and administration of AWS databases using both the console and command line • Complete, up-to-date coverage of DBS-C01 exam objectives to pass it on the first attempt Book Description The AWS Certified Database – Specialty certification is one of the most challenging AWS certifications. It validates your comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting. With this guide, you'll understand how to use various AWS databases, such as Aurora Serverless and Global Database, and even services such as Redshift and Neptune. You'll start with an introduction to the AWS databases, and then delve into workload-specific database design. As you advance through the chapters, you'll learn about migrating and deploying the databases, along with database security techniques such as encryption, auditing, and access controls. This AWS book will also cover monitoring, troubleshooting, and disaster recovery techniques, before testing all the knowledge you've gained throughout the book with the help of mock tests. By the end of this book, you'll have covered everything you need to pass the DBS-C01 AWS certification exam and have a handy, on-the-job desk reference guide. What you will learn • Become familiar with the AWS Certified Database – Specialty exam format • Explore AWS database services and key terminology • Work with the AWS console and command line used for managing the databases • Test and refine performance metrics to make key decisions and reduce cost • Understand how to handle security risks and make decisions about database infrastructure and deployment • Enhance your understanding of the topics you've learned using real-world hands-on examples • Identify and resolve common RDS, Aurora, and DynamoDB issues Who this book is for This AWS certification book is for database administrators and IT professionals who perform complex big data analysis as well as students looking to get AWS Database Specialty certified. A solid understanding of cloud computing, specifically AWS services, is a must. Knowledge of basic administration tasks such as logging in and running SQL queries will be helpful.