technical/intermediate
intermediate Concepts
Curated list of intermediate videos for technical path.
How to approach System Design?
Database Sharding and Partitioning
How to pick a garbage collector?
Why Do Programming Languages Need Garbage Collection?
Mark and Sweep Garbage Collection Algorithm
Tricolor Abstraction to build concurrent Garbage Collectors
Disabling Garbage Collection helped Instagram save money and get better performance
Everything about HTTP Streaming and how Airbnb leverages it in production
Serverless Computing Explained - Introduction and Architecture
Inside Stripe's Rate Limiter Architecture
How to Protect Your Systems with Throttling & Rate Limiting - 5 Real-World Use Cases
Designing Idempotent API Endpoints for Payments at Stripe
Build a robust Payments service using Idempotency Keys
Designing Notifications Service for Instagram
How PayPal Beat the Thundering Herd Problem and Fixed Their Architecture
Thundering Herd Problem and How not to do API retries
What are L4 Load Balancers and how do they work?
Load Balancers are not Magic - Dissecting Atlassian Outage
Dissecting Google Maps Outage: Bad Rollout and Cascading Failures
Dissecting Spotify's Global Outage - March 8, 2022
An Engineering Deep-dive Into Atlassian's Mega Outage of April 2022
Dissecting GitHub Outage and things to do after that
GitHub Outage - How databases are managed in production
Dissecting GitHub Outage - Why should we localize failures?
Dissecting GitHub Outage - Downtime due to Rate Limiter
Dissecting GitHub Outage - Master failover failed
Dissecting GitHub Outage - Downtime they thought was avoided
How a Single MySQL Index Broke GitHub
Scanning Bug That Took Down GitHub
An in-depth introduction to Rolling Deployments
An in-depth introduction to Blue Green Deployments
An in-depth introduction to Canary Deployments
How to safely and gracefully handle timeouts in a microservices
How to handle database outages?
How to Scope Microservices Right with Loose Coupling & High Cohesion
Best practices that make microservices integration easy
Things to remember while building Microservices
Why should we have a standard way of building Microservices?
10 Challenges in Adopting and Implementing Microservices
Should You Adopt Microservices? Here’s What You Need to Know
How to Implement Vertical Sharding
How Google designed their Highly Available Load Balancers using Anycast
How to design Udemy like taxonomy/hierarchy?
Scaling Taxonomy Service and Database
How Flipkart made their type ahead search hyper personalized
How Instagram efficiently serves HashTags ordered by count
Designing Uber's highly available Emergency SOS Service
How Booking com designed and scaled their highly available and performant User Review System
How Slack efficiently classifies emails at scale with an eventually consistent system
How Grab configured their data layer to handle multi-million database transactions a day!
How @Shopify Engineering avoids hot shards by moving data across databases without any downtime
How Twitter keeps its Search systems up and stable at scale
How @Zomato improved its search by identifying intent using NLP
How Razorpay Designed and Scaled their Notification System
How Rockset achieves zero data latency and workload isolation at scale
Aggregating DynamoDB data in realtime to list restaurants at Deliveroo
How Dropbox efficiently serves and renders a large number of thumbnails
The Architecture of Pinterest's Time Series Database - Goku
The Architecture of Airbnb's Knowledge Graph
How Swiggy designed and scaled its chatbot
Overview of Discord's data platform that daily processes petabytes of data and trillion points
How Airbnb designed and scaled its central authorization system - Himeji
How Gojek masks and keeps users' phone numbers secure at scale?
The architecture of Yelp's in-house Search Engine - nrtSearch
