Redis

A complete Redis path covering core and advanced data types, expiration, streams, JSON, Search, vector sets, probabilistic and time-series structures, transactions, functions, pipelining, Pub/Sub, persistence, memory/eviction, replication, Sentinel, Cluster, ACL/TLS security, application patterns, observability, performance, backup, upgrades, and production operations.

Browse curriculum Back to all courses

24chapters

120lesson paths

Beginner → Advancedlearning level

Publishedcourse state

Coverage baselineRedis 8.x data structures and modern Search/JSON/vector capabilities, plus replication, Sentinel, Cluster, persistence, and operations

Course brief

Use Redis as a deliberate data-structure server, not merely “a cache.”

This syllabus deliberately separates foundations, data modeling, query behavior, internals, reliability, security, performance, operations, and production design so advanced material is not compressed into generic catch-all chapters.

By the end

You will be able to

Choose Redis data structures from operation complexity, cardinality, memory cost, persistence needs, and access patterns
Build reliable caching, counters, queues, streams, messaging, search, vector, geospatial, probabilistic, and time-series workflows
Reason about atomicity, scripting/functions, pipelining, client behavior, expiration, eviction, persistence, replication, Sentinel, and Cluster
Secure and observe Redis with ACLs, TLS, metrics, slow/latency analysis, memory diagnostics, benchmarks, backups, and tested upgrades
Design production Redis architectures that control hot keys, stampedes, locks, idempotency, failover, capacity, and disaster recovery

Complete syllabus

24 chapters · 120 lessons.

Every lesson path was reserved in the planned syllabus and is now linked because its lesson HTML is available. The sequence moves from foundations through advanced implementation, architecture, operations, reliability, security, tuning, and a production capstone.

Chapter 1

Redis Foundations, Redis 8, Deployment Choices, CLI, and Lab Setup

5 lessons

What Redis Is: In-Memory Data Structures, Optional Durability, and Common Workload FamiliesPublished lesson · Chapter01/Lesson1.html

Redis

Use Redis as a deliberate data-structure server, not merely “a cache.”

You will be able to

24 chapters · 120 lessons.

Redis Foundations, Redis 8, Deployment Choices, CLI, and Lab Setup

Keys, Namespaces, Expiration, TTL, Scanning, and Data-Type Introspection

Strings, Counters, Bitmaps, Bitfields, and Binary Values

Hashes and Object-Like Records

Lists, Sets, and Queue/Collection Patterns

Sorted Sets, Rankings, Scheduling, and Range Queries

Redis Streams and Consumer Groups

Redis JSON and Document-Oriented Data

Redis Search: Indexes, Text/Numeric/Tag/Geo Fields, Querying, and Aggregation

Vector Sets, Vector Search, Hybrid Retrieval, and AI Workloads

Probabilistic Data Structures and Approximate Analytics

Time Series and Geospatial Workloads

Transactions, WATCH, Optimistic Locking, and Atomicity

Lua Scripting and Redis Functions

Pipelining, Batching, Client Libraries, and Client-Side Caching

Pub/Sub, Keyspace Notifications, and Messaging Tradeoffs

Persistence: RDB Snapshots, AOF, fsync, Rewrites, and Crash Recovery

Memory Management, Eviction, Expiration, Fragmentation, and OOM Prevention

Replication, PSYNC, Backlog, Replica Reads, and Failover Foundations

Redis Sentinel: Monitoring, Automatic Failover, and Service Discovery

Redis Cluster: Hash Slots, Routing, Resharding, and Cluster Availability

Security: ACLs, TLS, Command/Key Permissions, Secrets, and Network Boundaries

Application Patterns: Caching, Rate Limiting, Locks, Idempotency, and Hot-Key Control

Observability, Latency, Benchmarking, Capacity, Backup, Upgrades, and Capstone