⌘K

Course Contents

0/9

Anatomy of the System Design Interview Requirements & NFRs That Matter The Delivery Framework The Design Template Communicating While Designing Whiteboard & Diagram Craft The Questions Everyone Asks (FAQ)Full Mock Walkthrough Checkpoint: The Method

0/13

Pattern: Scaling Reads Pattern: Scaling Writes Pattern: Dealing with Contention Pattern: Real-time Updates Pattern: Long-Running Tasks Pattern: Handling Large Blobs Pattern: Multi-Step Processes Pattern: Fan-out — Feeds & Timelines Pattern: Top-K & Counting at Scale Pattern: Proximity & Geo Pattern: Dedup & Uniqueness Pattern: Search-Shaped Problems Checkpoint: Problem Patterns

0/7

Redis, Inside-Out PostgreSQL, Inside-Out Cassandra, Inside-Out DynamoDB, Inside-Out Elasticsearch, Inside-Out MongoDB, Inside-Out Checkpoint: Technology Deep-Dives: Data

0/7

Kafka, Inside-Out Flink, Inside-Out ZooKeeper & etcd, Inside-Out S3 & Object Storage, Inside-Out Gateways: nginx & Envoy Landmark Systems & Papers Map Checkpoint: Technology Deep-Dives: Infra

0/9

SQL vs NoSQL, Decided Postgres vs DynamoDB vs Cassandra Kafka vs RabbitMQ vs SQS Redis vs Memcached REST vs gRPC vs GraphQL Push vs Pull Latency vs Accuracy The Cloud-Service Map Checkpoint: The Decision Layer

0/10

How You're Actually Graded The L4 / L5 / L6 Rubric The Marketplace @L4 The Marketplace @L5 The Marketplace @L6 The Level Jumps on a Second Problem Failure Modes by Level Grade Yourself Checkpoint: Level Calibration Capstone Pass 5: The Full Interview Run

MongoDB, Inside-Out

Look inside MongoDB — why one index can be forty times larger, index entries per value rather than per document, rules that fire a year later, sorts versus filters, and the aggregation pipeline's budget.

Loading...

Loading content...