ScaleGuidev2
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ScaleGuide — Kubernetes Autoscaling, Explained Visually.
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Autoscaling

Horizontal Pod AutoscalerVertical Pod AutoscalerCluster AutoscalerKEDA

Deployment Strategies

Blue-Green DeploymentCanary DeploymentRolling UpdateRecreate DeploymentA/B Testing DeploymentShadow (Dark) Deployment

PostgreSQL

Prerequisites & SetupWhy PostgreSQL?Backend ConnectionsPractice ExamplesOfficial Docs Summary

Code Sandbox

SQL QueriesK8s ManifestsDeploy Configs

PostgreSQL

A structured learning path from installation to production-ready backends. Follow these chapters in order or jump to the topic you need.

Learning Path

Chapter 1

Prerequisites & Setup

Installation, tools (psql, pgAdmin, DBeaver), and pg_hba.conf configuration.

Chapter 2

Why PostgreSQL?

Capabilities, enterprise use cases, cost efficiency, and migration reasons.

Chapter 3

Backend Connections

How PostgreSQL connects to Node.js, Python, Java, and C++ with animated flow diagrams.

Chapter 4

Practice Examples

Pre-defined SQL exercises from basic to intermediate with hints and solutions.

Chapter 5

Official Docs Summary

Condensed PostgreSQL official docs: data types, config, backup, and replication.

Why PostgreSQL?

Used by the world's largest companies for mission-critical workloads.

Apple

iCloud infrastructure and internal analytics platforms

1000+ PostgreSQL instances

Instagram

User data, feeds, and activity storage

Billions of rows with custom sharding

Spotify

User accounts, playlists, and social features

500M+ users, thousands of microservices

Reddit

Comments, votes, subreddit metadata

430M+ monthly active users

Twitch

Chat metadata, channel state, user subscriptions

140M+ monthly users

Goldman Sachs

Trade settlement, risk analytics, compliance reporting

Mission-critical financial data

What You'll Learn

Animated Connection Flows

Watch how your app talks to PostgreSQL step by step -- DNS, TCP, auth, query, response.

Hands-On SQL Practice

Pre-built exercises with hints and solutions. From basic SELECTs to window functions and CTEs.

Production Best Practices

Connection pooling, configuration tuning, backup strategies, and replication patterns.