Asli Engineering

Learn system design with Asli Engineering, step by step

140 videos in 5 steps, about 47 h 40 min of watching. Start at step 1 and move down.

1. 1Start here: the basicsNo background needed. What the main ideas are and why they exist.5 videos · 1 h 48 min0/5

   • 1.1 What are L4 Load Balancers and how do they work?Beginner · 18 min · 34K views · 2025How traffic is spread across servers so no single one is overloaded.
   • 1.2 What are Reactive Databases and why DiceDB exists?Beginner · 10 min · 15.5K views · 2025How databases store and find data, and what guarantees they give.
   • 1.3 What are Embedded Databases and why do they exist?Beginner · 16 min · 14.3K views · 2022How databases store and find data, and what guarantees they give.
   • 1.4 What are Microservices?Beginner · 28 min · 9.7K views · 2022When to split an application into services, and what it costs.
   • 1.5 Serverless Computing Explained - Introduction and ArchitectureBeginner · 36 min · 10.5K views · 2022How applications are packaged and run across many machines.
2. 2The building blocksCaches, queues, databases, load balancers: the parts every design is made of.93 videos · 30 h 47 min0/93

   • 2.1 What exactly is the HTTP protocol and how to write a new one from scratch?Intermediate · 15 min · 46.2K views · 2024How web requests and responses travel between a browser and a server.
   • 2.2 Everything about HTTP Streaming and how Airbnb leverages it in productionIntermediate · 22 min · 39.6K views · 2024How web requests and responses travel between a browser and a server.
   • 2.3 Yes! You can send a payload in your HTTP GET requestsIntermediate · 12 min · 22.6K views · 2022How web requests and responses travel between a browser and a server.
   • 2.4 Why most TCP servers are multi threaded and how to build one from scratchIntermediate · 28 min · 50.7K views · 2023How data moves reliably (or quickly) across a network.
   • 2.5 Exploiting and stealing from the BitTorrent networkIntermediate · 19 min · 3K views · 2022How data moves reliably (or quickly) across a network.
   • 2.6 How Atlassian reduced latency by 70% by using Sidecar pattern and when should you use itIntermediate · 13 min · 65.9K views · 2025The numbers behind speed: what is fast, what is slow, and how to reason about it.
   • 2.7 How LinkedIn improved their latency by 60%Intermediate · 10 min · 56.8K views · 2024The numbers behind speed: what is fast, what is slow, and how to reason about it.
   • 2.8 How Booking com designed and scaled their highly available and performant User Review SystemIntermediate · 22 min · 36.5K views · 2022How a system grows from one server to many without falling over.
   • 2.9 How Razorpay Designed and Scaled their Notification SystemIntermediate · 18 min · 36.3K views · 2022How a system grows from one server to many without falling over.
   • 2.10 How Airbnb designed and scaled its central authorization system - HimejiIntermediate · 30 min · 26.1K views · 2022How a system grows from one server to many without falling over.

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3. 3Design whole systems (HLD)Put the blocks together for a real product, step by step.10 videos · 3 h 5 min0/10

   • 3.1 How to approach System Design?Intermediate · 14 min · 139.1K views · 2022A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 3.2 Designing Notifications Service for InstagramIntermediate · 37 min · 111.2K views · 2021 (older)A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 3.3 How OpenAI Handles 800 Million ChatGPT Users on a Single PostgreSQL PrimaryIntermediate · 14 min · 92.3K views · 2026A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 3.4 How PayPal Beat the Thundering Herd Problem and Fixed Their ArchitectureIntermediate · 13 min · 57.1K views · 2025A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 3.5 How DNS really works and how it scales infinitely?Intermediate · 17 min · 57K views · 2024How a system grows from one server to many without falling over.
   • 3.6 Inside Stripe's Rate Limiter ArchitectureIntermediate · 16 min · 23.6K views · 2025Protecting a service from overload and making retries safe.
   • 3.7 How Stripe Scales MongoDB to 5 million Queries Per SecondIntermediate · 19 min · 18.8K views · 2026How a system grows from one server to many without falling over.
   • 3.8 Overview of the BitTorrent architectureIntermediate · 21 min · 16.2K views · 2022A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 3.9 Designing Uber's highly available Emergency SOS ServiceIntermediate · 20 min · 11K views · 2022A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 3.10 High level architecture and System Design of JunoDBIntermediate · 14 min · 8.1K views · 2023Designing of JunoDB: what it must do, the main parts, and the trade-offs.
4. 4Low-level design (LLD)Classes, patterns and clean code inside one service.1 videos · 21 min0/1

   • 4.1 Low Level Design and Data Schema Modeling of API Clients Like RequestlyIntermediate · 21 min · 18.5K views · 2026Designing the classes and patterns inside one service, so the code stays easy to change.
5. 5Go deeperInternals, trade-offs and how large systems really behave.31 videos · 11 h 39 min0/31

   • 5.1 Writing a Simple TCP Echo Server - Step 0 to Build Your Own Redis | Redis InternalsAdvanced · 16 min · 23.8K views · 2022How data moves reliably (or quickly) across a network.
   • 5.2 How Twitter keeps its Search systems up and stable at scaleAdvanced · 15 min · 23.1K views · 2022How a system grows from one server to many without falling over.
   • 5.3 How Rockset achieves zero data latency and workload isolation at scaleAdvanced · 13 min · 10.5K views · 2024How a system grows from one server to many without falling over.
   • 5.4 How Gojek masks and keeps users' phone numbers secure at scale?Advanced · 16 min · 8.7K views · 2022How a system grows from one server to many without falling over.
   • 5.5 How Rockset executes query and scales the query compute horizontally on demand | Rockset InternalsAdvanced · 10 min · 8.7K views · 2024How a system grows from one server to many without falling over.
   • 5.6 How Giphy uses CDN to serve 10 billion GIFs every dayAdvanced · 17 min · 18.5K views · 2022Serving files from servers near the user to cut delay.
   • 5.7 The Architecture of Pinterest's Time Series Database - GokuAdvanced · 18 min · 11.5K views · 2022How databases store and find data, and what guarantees they give.
   • 5.8 How Converged Indexes makes Rockset super-efficient in all kinds of queries | Rockset InternalsAdvanced · 11 min · 8.9K views · 2024How databases store and find data, and what guarantees they give.
   • 5.9 How Redis Implements Transactions and How We Implement It | Redis InternalsAdvanced · 22 min · 4K views · 2026How databases store and find data, and what guarantees they give.
   • 5.10 How Databases Implement Graceful Shutdown using Signal Handling | Redis InternalsAdvanced · 37 min · 3.1K views · 2026How databases store and find data, and what guarantees they give.

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Order and levels are picked by us from titles and lengths. The one-line notes are ours. Every video plays from YouTube and belongs to Asli Engineering.

Asli Engineering’s own courses and series

Playlists the creator put together, in the order they made them.

1. System DesignA series from the creator, in the order they made it.76 videos · 22 h 55 min0/76

   • 1 How Kafka Actually Achieves Exactly-Once SemanticsAdvanced · 18 min · 60.7K views · 2026Passing work and events between services without waiting for each other.
   • 2 Consistent Hashing and Its Implementation From the First PrinciplesIntermediate · 14 min · 26K views · 2026Clever data structures that make big lookups cheap.
   • 3 How Redis Implements Transactions and How We Implement It | Redis InternalsAdvanced · 22 min · 4K views · 2026How databases store and find data, and what guarantees they give.
   • 4 How Databases Implement Graceful Shutdown using Signal Handling | Redis InternalsAdvanced · 37 min · 3.1K views · 2026How databases store and find data, and what guarantees they give.
   • 5 Implementing Event Loops | Redis InternalsAdvanced · 26 min · 8.3K views · 2026Passing work and events between services without waiting for each other.
   • 6 Event Loops Internals And How Redis Handles Multiple Connects on a Single Thread | Redis InternalsAdvanced · 21 min · 15.1K views · 2026Doing many things at once without breaking shared data.
   • 7 Low Level Design and Data Schema Modeling of API Clients Like RequestlyIntermediate · 21 min · 18.5K views · 2026Designing the classes and patterns inside one service, so the code stays easy to change.
   • 8 How Stripe Migrates Millions of Records and Schema with Zero Downtime and No Data InconsistencyIntermediate · 13 min · 20.9K views · 2026What you give up to stay available or correct when machines fail.
   • 9 How Stripe Scales MongoDB to 5 million Queries Per SecondIntermediate · 19 min · 18.8K views · 2026How a system grows from one server to many without falling over.
   • 10 How MySQL's Midpoint Insertion Strategy Prevents Cache PollutionIntermediate · 11 min · 10K views · 2026Keeping hot data close so reads are fast, and the cost of stale data.

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2. Engineering Blogs DissectionsA series from the creator, in the order they made it.49 videos · 12 h 59 min0/49

   • 1 How Kafka Actually Achieves Exactly-Once SemanticsAdvanced · 18 min · 60.7K views · 2026Passing work and events between services without waiting for each other.
   • 2 Consistent Hashing and Its Implementation From the First PrinciplesIntermediate · 14 min · 26K views · 2026Clever data structures that make big lookups cheap.
   • 3 Low Level Design and Data Schema Modeling of API Clients Like RequestlyIntermediate · 21 min · 18.5K views · 2026Designing the classes and patterns inside one service, so the code stays easy to change.
   • 4 How Stripe Migrates Millions of Records and Schema with Zero Downtime and No Data InconsistencyIntermediate · 13 min · 20.9K views · 2026What you give up to stay available or correct when machines fail.
   • 5 How Stripe Scales MongoDB to 5 million Queries Per SecondIntermediate · 19 min · 18.8K views · 2026How a system grows from one server to many without falling over.
   • 6 How OpenAI Handles 800 Million ChatGPT Users on a Single PostgreSQL PrimaryIntermediate · 14 min · 92.3K views · 2026A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 7 How MySQL's Midpoint Insertion Strategy Prevents Cache PollutionIntermediate · 11 min · 10K views · 2026Keeping hot data close so reads are fast, and the cost of stale data.
   • 8 How PayPal Beat the Thundering Herd Problem and Fixed Their ArchitectureIntermediate · 13 min · 57.1K views · 2025A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 9 How GitHub Sharded Their Databases Without Downtime and Broke Their MonolithIntermediate · 20 min · 36.1K views · 2025When to split an application into services, and what it costs.
   • 10 Inside Stripe's Rate Limiter ArchitectureIntermediate · 16 min · 23.6K views · 2025Protecting a service from overload and making retries safe.

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3. Arpit's System Design Masterclass - Pre-requisitesA series from the creator, in the order they made it.16 videos · 5 h 49 min0/16

   • 1 How to approach System Design?Intermediate · 14 min · 139.1K views · 2022A walk through how a real product is put together: what it must do, the parts, and the trade-offs.
   • 2 Everything you need to know about RESTIntermediate · 24 min · 79.5K views · 2022How services expose and call each other's features.
   • 3 Sharing Databases in Microservices: Anti-Pattern or Practical?Intermediate · 21 min · 38.6K views · 2022When to split an application into services, and what it costs.
   • 4 Database per Service Pattern in MicroservicesIntermediate · 20 min · 25.5K views · 2022When to split an application into services, and what it costs.
   • 5 Why do databases store data in B+ trees?Intermediate · 30 min · 111.3K views · 2023How databases store and find data, and what guarantees they give.
   • 6 How Swiggy designed and scaled its chatbotIntermediate · 15 min · 22.4K views · 2022How a system grows from one server to many without falling over.
   • 7 GitHub Outage - How databases are managed in productionIntermediate · 24 min · 13.3K views · 2022How databases store and find data, and what guarantees they give.
   • 8 Best practices that make microservices integration easyIntermediate · 14 min · 10.3K views · 2022When to split an application into services, and what it costs.
   • 9 10 Challenges in Adopting and Implementing MicroservicesIntermediate · 27 min · 11.1K views · 2022When to split an application into services, and what it costs.
   • 10 Designing Workflows in Microservices - Orchestration vs ChoreographyIntermediate · 17 min · 58.7K views · 2022When to split an application into services, and what it costs.

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4. Designing MicroservicesA series from the creator, in the order they made it.15 videos · 5 h 51 min0/15

   • 1 Should You Adopt Microservices? Here’s What You Need to KnowIntermediate · 14 min · 56.3K views · 2022When to split an application into services, and what it costs.
   • 2 How to Scope Microservices Right with Loose Coupling & High CohesionIntermediate · 19 min · 15.6K views · 2022When to split an application into services, and what it costs.
   • 3 How to safely and gracefully handle timeouts in a microservicesIntermediate · 24 min · 39.5K views · 2022When to split an application into services, and what it costs.
   • 4 Sharing Databases in Microservices: Anti-Pattern or Practical?Intermediate · 21 min · 38.6K views · 2022When to split an application into services, and what it costs.
   • 5 Synchronous and Asynchronous Communication between MicroservicesIntermediate · 40 min · 41.4K views · 2022Doing many things at once without breaking shared data.
   • 6 Designing Workflows in Microservices - Orchestration vs ChoreographyIntermediate · 17 min · 58.7K views · 2022When to split an application into services, and what it costs.
   • 7 Everything you need to know about RESTIntermediate · 24 min · 79.5K views · 2022How services expose and call each other's features.
   • 8 Database per Service Pattern in MicroservicesIntermediate · 20 min · 25.5K views · 2022When to split an application into services, and what it costs.
   • 9 API Composition Pattern in MicroservicesIntermediate · 26 min · 11.5K views · 2022How services expose and call each other's features.
   • 10 What are Microservices?Beginner · 28 min · 9.7K views · 2022When to split an application into services, and what it costs.

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5. Algorithms in Distributed SystemsA series from the creator, in the order they made it.13 videos · 4 h 22 min0/13

   • 1 Distributed Transactions: Two-Phase Commit ProtocolAdvanced · 21 min · 70.5K views · 2022How many machines agree on one answer, even when some fail.
   • 2 Implementing Distributed Transactions using Two Phase Commit ProtocolAdvanced · 39 min · 38.1K views · 2022How many machines agree on one answer, even when some fail.
   • 3 LCR algorithm for Leader Election in Distributed SystemsIntermediate · 14 min · 17K views · 2022How many machines agree on one answer, even when some fail.
   • 4 HS algorithm for Leader Election in Distributed SystemsIntermediate · 19 min · 12.2K views · 2022How many machines agree on one answer, even when some fail.
   • 5 TimeSlice algorithm for Leader Election in Distributed SystemsIntermediate · 14 min · 3.2K views · 2022How many machines agree on one answer, even when some fail.
   • 6 FloodMax algorithm for Leader Election in Distributed SystemsIntermediate · 13 min · 5.4K views · 2022How many machines agree on one answer, even when some fail.
   • 7 Synchronous Breadth First Search Algorithm to power broadcast in Distributed SystemsIntermediate · 22 min · 6.4K views · 2022How many machines agree on one answer, even when some fail.
   • 8 Distributed Shortest-Path Bellman Ford Algorithm in Distributed SystemsIntermediate · 17 min · 3.3K views · 2022How many machines agree on one answer, even when some fail.
   • 9 Minimum Spanning Tree in Distributed Systems - GHS Algorithm - and its ApplicationsIntermediate · 33 min · 9K views · 2022How many machines agree on one answer, even when some fail.
   • 10 Unsolvable Distributed Consensus and The Two Generals' ProblemAdvanced · 15 min · 3.7K views · 2022How many machines agree on one answer, even when some fail.

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6. Hash Table InternalsA series from the creator, in the order they made it.11 videos · 3 h 37 min0/11

   • 1 Internal Structure of a Hash TableAdvanced · 23 min · 38.8K views · 2022Clever data structures that make big lookups cheap.
   • 2 Conflict Resolution in Hash Tables with ChainingIntermediate · 21 min · 7.1K views · 2022Clever data structures that make big lookups cheap.
   • 3 Conflict Resolution in Hash Tables with Open AddressingIntermediate · 18 min · 4.6K views · 2022Clever data structures that make big lookups cheap.
   • 4 Linear Probing for Conflict Resolution in Hash TablesIntermediate · 19 min · 4.3K views · 2022Clever data structures that make big lookups cheap.
   • 5 Quadratic Probing for Conflict Resolution in Hash TablesIntermediate · 15 min · 3K views · 2022Clever data structures that make big lookups cheap.
   • 6 Double Hashing for Conflict Resolution in Hash TablesIntermediate · 17 min · 3.6K views · 2022Clever data structures that make big lookups cheap.
   • 7 Understanding the performance of a Hash TableAdvanced · 25 min · 2.8K views · 2022Clever data structures that make big lookups cheap.
   • 8 When full, why are Hash tables, ArrayList, and Vectors always doubled? ⚡Intermediate · 30 min · 5.5K views · 2022Clever data structures that make big lookups cheap.
   • 9 Implementing Resize of a Hash TableIntermediate · 17 min · 3.8K views · 2022Clever data structures that make big lookups cheap.
   • 10 Implementing Hash Sets with Hash TablesIntermediate · 15 min · 2K views · 2022Clever data structures that make big lookups cheap.

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7. Rockset InternalsA series from the creator, in the order they made it.5 videos · 53 min0/5

   • 1 Architecture deep-dive of a Real-time Analytics Database | Rockset InternalsAdvanced · 9 min · 21.4K views · 2024Pushing updates to users instantly instead of making them ask.
   • 2 How Converged Indexes makes Rockset super-efficient in all kinds of queries | Rockset InternalsAdvanced · 11 min · 8.9K views · 2024How databases store and find data, and what guarantees they give.
   • 3 How Rockset executes query and scales the query compute horizontally on demand | Rockset InternalsAdvanced · 10 min · 8.7K views · 2024How a system grows from one server to many without falling over.
   • 4 How Rockset achieves zero data latency and workload isolation at scaleAdvanced · 13 min · 10.5K views · 2024How a system grows from one server to many without falling over.
   • 5 Designing a Realtime Gaming Leaderboard - Horizontally Scalable and Highly AvailableIntermediate · 11 min · 31.3K views · 2024Pushing updates to users instantly instead of making them ask.
8. Dissecting Juno DBA series from the creator, in the order they made it.4 videos · 56 min0/4

   • 1 High level architecture and System Design of JunoDBIntermediate · 14 min · 8.1K views · 2023Designing of JunoDB: what it must do, the main parts, and the trade-offs.
   • 2 How JunoDB is designed to scale horizontallyIntermediate · 16 min · 4.2K views · 2023How a system grows from one server to many without falling over.
   • 3 How JunoDB is designed to achieve six 9's of availabilityIntermediate · 14 min · 4.7K views · 2023What you give up to stay available or correct when machines fail.
   • 4 How JunoDB is designed to be a highly secure databaseIntermediate · 12 min · 9.3K views · 2023How databases store and find data, and what guarantees they give.

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