Redis Deep Dive: Data Structures, Persistence, Performance, and Operational Patterns

Redis Deep Dive: Data Structures, Persistence, Performance, and Operational Patterns#

Redis is an in-memory data store, but calling it a “cache” undersells what it can do. It is a data structure server that happens to be extraordinarily fast. Understanding its data structures, persistence model, and operational characteristics determines whether Redis becomes a reliable part of your architecture or a source of mysterious production incidents.

Data Structures Beyond Key-Value#

Redis supports far more than simple string key-value pairs. Each data structure has specific use cases where it outperforms alternatives.

Minikube Add-ons for Production-Like Environments

Minikube Add-ons for Production-Like Environments#

A bare minikube cluster runs workloads but lacks the infrastructure that production clusters rely on – metrics collection, ingress routing, TLS, monitoring, and load balancer support. Minikube’s addon system bridges this gap with one-command installs of production components.

Surveying Available Add-ons#

List everything minikube offers:

minikube addons list

This prints dozens of addons with their status. Most are disabled by default. The ones worth enabling depend on what you are testing, but a production-like setup typically needs five to seven of them.