Learning and Mastering Redis with Java and Lettuce

Overview

Learn Redis from basics to advanced using Java and Lettuce. Explore key operations, data structures, transactions, pipelines, streams, and performance tuning—gain hands-on skills to build and manage high-performance Redis-backed systems.

Syllabus

Course 1: Introduction to Redis with Java and Lettuce: The Basics
Course 2: Redis Data Structures: Beyond Basics
Course 3: Mastering Redis Transactions and Efficiency with Java
Course 4: Mastering Redis for High-Performance Applications with Java
Course 5: Implementing a Redis-based Backend System

Courses

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3 hours
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Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. This course introduces the essential concepts and operations of Redis, including connecting to a Redis server, working with numbers, performing basic operations, and handling data structures such as lists and hashes using Java with the Lettuce client library.
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3 hours
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Building on the basics, this course dives into Redis’s more advanced data structures. Learn how to leverage sets, sorted sets, bitmaps, and geospatial indexes for efficient data handling and unique use cases.
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3 hours
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This course covers Redis's features for executing atomic operations using transactions and pipelines. Learn how to build transactions, implement watch and unwatch, improve efficiency with pipelines, and handle errors in transactions.
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2 hours
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Dive deeper into Redis’s persistence options, strategies for performance optimization, and working with Redis Streams. This expert-level course will prepare you to manage key expirations, utilize pub/sub messaging, trigger snapshotting, and handle high-performance scenarios effectively.
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2 hours
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In this comprehensive course, you'll put together the skills learned to build and maintain a Redis-based backend system. You will get hands-on experience managing user data with expiration, implementing sorted set leaderboards, handling transactions with pipelines, utilizing Redis streams for event logging, and implementing pub/sub for notifications.