Redis – 100+ Lab Exercises (Basic, Intermediate, Advanced)

🔰 Basic Level (30+ Exercises)

Goal: Understand Redis fundamentals, installation, and core data structures.

Getting Started with Redis

• Install Redis on Linux/Windows/macOS.

• Start and stop Redis server and client.

• Understand Redis data types: Strings, Lists, Sets, Hashes, Sorted Sets.

• Perform basic CRUD operations on each data type.

• Explore simple commands: SET, GET, DEL, EXISTS.

• Use Redis CLI to interact with the server.

• Understand key expiration and TTL commands (EXPIRE, TTL).

• Use INCR, DECR, and other atomic counters.

• Basic data structure operations: push/pop in lists, add/remove in sets.

Practice Exercises

• Store and retrieve user session data using Strings.

• Implement a simple leaderboard with Sorted Sets.

• Use Lists to create a task queue.

• Cache frequent API responses with expiration.

• Create a user profile using Hashes and update fields.

🚀 Intermediate Level (40+ Exercises)

Goal: Enhance Redis usage with transactions, pub/sub, and performance tuning.

Transactions and Lua Scripting

• Understand Redis transactions (MULTI, EXEC, DISCARD).

• Explore optimistic locking with WATCH.

• Write simple Lua scripts for atomic operations.

• Use pipelines to batch commands and improve performance.

Pub/Sub Messaging

• Implement Pub/Sub pattern for messaging between apps.

• Subscribe and publish messages on channels.

• Use Redis Streams for message queues and event sourcing.

Performance and Persistence

• Configure Redis persistence modes: RDB and AOF.

• Understand eviction policies and memory management.

• Monitor Redis performance with INFO command and logs.

• Use Redis Sentinel for high availability basics.

Practice Exercises

• Implement a stock price update system using Pub/Sub.

• Create an atomic counter with Lua script for concurrency safety.

• Build a chat application using Redis Streams.

• Simulate cache eviction policies under memory constraints.

• Configure and test Redis persistence with RDB and AOF.

🧠 Advanced Level (40+ Exercises)

Goal: Master Redis clustering, advanced data structures, and real-world production scenarios.

Redis Clustering and High Availability

• Set up Redis Cluster for sharding data.

• Manage cluster nodes and slot rebalancing.

• Implement Redis Sentinel for failover and monitoring.

• Understand client-side sharding and proxy solutions.

Advanced Data Structures & Modules

• Use HyperLogLog for approximate counting.

• Implement Bitmaps and Geospatial indexes.

• Work with Redis modules like RedisJSON, RediSearch, RedisGraph.

• Optimize complex queries with Redis modules.

Security & Scaling

• Configure Redis authentication and access control lists (ACLs).

• Secure Redis communications with TLS.

• Perform backups and disaster recovery planning.

• Scale Redis for high throughput with sharding and pipelining.

Practice Exercises

• Deploy a Redis Cluster and test distributed key management.

• Build a real-time analytics dashboard using HyperLogLog and Bitmaps.

• Implement geospatial queries for location-based services.

• Secure a Redis instance with ACLs and TLS.

• Integrate RedisJSON for storing and querying JSON documents.

Capstone Projects

• Design and deploy a Redis-backed caching layer for a web app.

• Build a real-time chat system using Redis Pub/Sub and Streams.

• Create a scalable leaderboard using Sorted Sets and Redis Cluster.

• Implement a session store with failover using Redis Sentinel.

• Develop a geo-location tracking app with Redis Geospatial features.

✅ Tools & Platforms

• Redis CLI and GUI clients (RedisInsight, Medis)

• Dockerized Redis for rapid environment setup

• Redis modules: RedisJSON, RediSearch, RedisGraph

• Monitoring tools: Redis Monitor, Prometheus exporters