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MongoDB 101: Production-Grade Data Modeling, Performance & Scaling

Short, practical lessons on how MongoDB actually behaves under load — schemas, indexes, aggregations, sharding, and mistakes that silently kill performance. Explained in Telugu + English

14 Lessons

Self-paced

Certificate

Course Curriculum

Foundations people think they know (but don’t)

6 lessons

ObjectId decoded: timestamp, ordering guarantees - 002

The real cost of null vs missing fields - 005

What MongoDB really stores on disk - 001

Why document size limits exist - 006

Why MongoDB is not “schema-less” - 003

WiredTiger in plain English: pages, cache, compression - 004

Schema design (where most apps die quietly)

8 lessons

Designing for Reads vs Writes through Schema - 009

Embed vs reference is about write amplification, not “relationships” - 007

One-to-Many Patterns: Bucket, Array, Sub-collection - 008

Polymorphic Schemas without Regret - 011

Soft Deletes without Destroying Indexes - 012

Time-series data: When not to use Time-Series Collections - 014

Versioning Documents without Migrations - 013

Why Unbounded Arrays are Time Bombs - 010