Production

Redis is easy to start with and hard to run well at scale. This tutorial covers the practices that keep Redis fast, reliable, and secure in production. Key Naming Conventions Consistent key names make debugging and management much easier. Use colons as separators: app:entity:identifier:field Examples: user:1001:profile session:abc123 cache:product:5:details rate:api:user:1001 lock:order:processing:42 Rules: Use lowercase Prefer colons over dots or hyphens (Redis treats colons as namespace separators in RedisInsight) Keep keys short — they add up in memory Include a TTL on anything that should expire Memory Optimization Redis stores everything in RAM. Know what you are using: ...

You have worked through all 12 articles in the Kubernetes series. Now it is time to go to production. This checklist covers everything you need to verify before your application is ready for real traffic. Each item links back to the tutorial where it is covered in depth. Going through this checklist before your first production deploy will save you from the most common production failures. Reliability Define resource requests and limits on every container Without requests, the Kubernetes scheduler cannot place Pods correctly. Without limits, one runaway container can OOM-kill an entire node. ...

This is the capstone article. Everything from 14 projects comes together. We started this series with a CLI todo app that took 35 minutes. Then we built REST APIs, Chrome extensions, full-stack blogs, SaaS dashboards, and mobile apps. Each project taught us something about working with Claude Code. Now the question: can we take a real product idea — something that could make money — from concept to deployed, production-ready app in a single working day? ...

In the previous tutorials, we learned how to build images, run containers, use Compose, and manage volumes and networks. Everything so far happened on your local computer. Now it is time to deploy. In this tutorial, you will learn how to move your application from your laptop to a production server. The Deployment Workflow Deploying with Docker follows a simple pattern: Build the image on your computer (or in CI/CD) Push the image to a registry Pull the image on the server Run the container on the server Your Computer Registry Server ┌──────────┐ ┌──────────────┐ ┌──────────┐ │ Build │────►│ Docker Hub │────►│ Pull │ │ Image │push │ or ghcr.io │pull │ & Run │ └──────────┘ └──────────────┘ └──────────┘ Docker Hub — The Default Registry Docker Hub is the default place to store and share images. It is free for public images and offers one private repository on the free plan. ...