Course Curriculum

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    Chapter 1: Introduction to Redis and Its Core Concepts

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    Chapter 2: Redis Data Structures and Their Uses

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    Chapter 3: Getting Redis Up and Running on Various Platforms

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    Chapter 4: Data Management in Redis with Popular Scripting Languages

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    Chapter 5: Monitoring Redis for Optimal Performance - Part 1

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    Chapter 6: Monitoring Redis for Optimal Performance - Part 2

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    Chapter 7: Lua Scripting with Redis for Enhanced Functionality

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    Chapter 8: Mastering Redis Replication - Part 1

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    Chapter 9: Mastering Redis Replication - Part 2

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    Chapter 10: Redis Clustering and Sharding for Scalability and Availability

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    Chapter 11: Troubleshooting Redis Issues

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    Chapter 12: Running Redis on Cloud Platforms

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    Chapter 13: Best Practices and Advanced Use Cases

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    Index

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About the Course

Redis is one of the world’s fastest and most versatile data platforms—but most teams use only a fraction of its capabilities. Ultimate Redis for High-Performance Applications takes you far beyond basic caching and gives you the practical, production-ready knowledge needed to design, scale, and operate Redis with confidence. Hence, whether you are building microservices, streaming systems, gaming backends, AI pipelines, or large-scale distributed applications, this book shows you exactly how Redis behaves under real workloads. You will explore every essential component, such as data structures, persistence, replication, Sentinel, clustering, Lua scripting, monitoring, performance tuning, and cloud deployment, through clear explanations and hands-on examples that map directly to real-world challenges. You will also learn to diagnose bottlenecks, avoid hidden pitfalls, and build systems that stay fast, stable, and scalable under pressure. Thus, whether you are a developer, DBA, architect, or DevOps engineer, this book equips you with the knowledge to turn Redis into a reliable, mission-critical foundation for high-performance applications.

About the Author

Karnish Master is a senior database and technology professional with over 14 years of experience designing and optimising data-intensive systems. He specializes in MySQL, Redis, and modern data platforms, and runs the MySQLGyan Blog and YouTube channel, sharing practical, real-world guidance.