Redis

Redis as an in-memory data store on OpenShift: caching, shared state, messaging and vector search.

1. 01

   Overview

   What Redis is, its data structures, and where it fits next to PostgreSQL and Kafka.

   Coming soon
2. 02

   Redis on OpenShift

   Deploy Redis with an operator, and choose between Redis Enterprise, open-source Redis and Valkey.

   Coming soon
3. 03

   Caching

   Cache-aside, expiry and invalidation in front of a slow database or API, and shared sessions.

   Coming soon
4. 04

   High availability

   Replication, Sentinel and Redis Cluster sharding, with failover tests.

   Coming soon
5. 05

   Persistence and backup

   RDB snapshots, AOF and restoring after a failure, across DC and DR.

   Coming soon
6. 06

   Pub/sub and Streams

   Lightweight messaging, and when to use Kafka instead.

   Coming soon
7. 07

   Vector search

   Redis as a vector store for RAG, and a semantic cache for chatbot answers.

   Coming soon
8. 08

   Security and monitoring

   ACLs, TLS, and metrics in Prometheus and Grafana.

   Coming soon