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Conference talks from practitioners on microservices, resilience and large-scale systems.
See all 3 steps Learn system design with InfoQ, step by step 168 videos in 3 steps, about 123 h 40 min of watching. Start at step 1 and move down.
All levels Intermediate Advanced
Services and APIs 58 Scaling and speed 32 Consistency 17 Messaging and events 16 Running in production 9 Concurrency and storage 5 Caching 2 Databases 2
1 The building blocks Caches, queues, databases, load balancers: the parts every design is made of. 75 videos · 50 h 50 min 1.1 Scaling Push Messaging for Millions of Devices @Netflix Intermediate · 49 min · 105.6K views · 2018 (older) How a system grows from one server to many without falling over. 1.2 Scaling Slack - The Good, the Unexpected, and the Road Ahead Intermediate · 38 min · 46.2K views · 2019 (older) How a system grows from one server to many without falling over. 1.3 Authorization at Netflix Scale Intermediate · 40 min · 10.8K views · 2022 How a system grows from one server to many without falling over. 1.4 Scaling Infrastructure Engineering at Slack Intermediate · 48 min · 7.9K views · 2019 (older) How a system grows from one server to many without falling over. 1.5 Scaling Slack Intermediate · 34 min · 6.4K views · 2018 (older) How a system grows from one server to many without falling over. 1.6 Scaling Backbone.js at SoundCloud Intermediate · 47 min · 6.3K views · 2013 (older) How a system grows from one server to many without falling over. 1.7 Scaling Patterns for Netflix's Edge Intermediate · 50 min · 6.1K views · 2019 (older) How a system grows from one server to many without falling over. 1.8 Petabytes Scale Analytics Infrastructure @Netflix Intermediate · 45 min · 5.2K views · 2017 (older) How a system grows from one server to many without falling over. 1.9 Scaling LLM Batch Inference: Ray Data & vLLM for High Throughput Intermediate · 48 min · 3.6K views · 2025 How a system grows from one server to many without falling over. 1.10 Node.js + Cocktails: Scaling Yahoo! Intermediate · 29 min · 2.8K views · 2013 (older) How a system grows from one server to many without falling over. Show all 75 2 Design whole systems (HLD) Put the blocks together for a real product, step by step. 37 videos · 25 h 40 min 2.1 Design Microservice Architectures the Right Way Intermediate · 49 min · 740.8K views · 2018 (older) When to split an application into services, and what it costs. 2.2 How Netflix Scales Its API with GraphQL Federation Intermediate · 39 min · 102.4K views · 2021 (older) How services expose and call each other's features. 2.3 The Evolution of Reddit.com's Architecture Intermediate · 33 min · 96.8K views · 2018 (older) A walk through how a real product is put together: what it must do, the parts, and the trade-offs. 2.4 Data Mesh Paradigm Shift in Data Platform Architecture Intermediate · 48 min · 55.9K views · 2020 (older) A walk through how a real product is put together: what it must do, the parts, and the trade-offs. 2.5 Shopify’s Architecture to Handle the World’s Biggest Flash Sales Intermediate · 49 min · 22.8K views · 2022 A walk through how a real product is put together: what it must do, the parts, and the trade-offs. 2.6 Netflix Play API - An Evolutionary Architecture Intermediate · 42 min · 18.9K views · 2019 (older) How services expose and call each other's features. 2.7 Reactive Systems Architecture Intermediate · 41 min · 11.4K views · 2019 (older) A walk through how a real product is put together: what it must do, the parts, and the trade-offs. 2.8 Event-Based Architectures: the Hard Parts Intermediate · 40 min · 10.8K views · 2022 Passing work and events between services without waiting for each other. 2.9 The Human Side of Airbnb’s Microservice Architecture Intermediate · 38 min · 10.1K views · 2021 (older) When to split an application into services, and what it costs. 2.10 How to Tame Your Service APIs: Evolving Airbnb’s Architecture Intermediate · 27 min · 8.1K views · 2021 (older) How services expose and call each other's features. Show all 37 3 Go deeper Internals, trade-offs and how large systems really behave. 56 videos · 47 h 10 min 3.1 Scaling Instagram Infrastructure Advanced · 51 min · 295.5K views · 2017 (older) How a system grows from one server to many without falling over. 3.2 The Play Framework at LinkedIn: Productivity and Performance at Scale Advanced · 52 min · 109.3K views · 2013 (older) How a system grows from one server to many without falling over. 3.3 Scaling Facebook Live Videos to a Billion Users Advanced · 52 min · 97.8K views · 2017 (older) How a system grows from one server to many without falling over. 3.4 Lessons from DAZN: Scaling Your Project with Micro-Frontends Advanced · 52 min · 11.6K views · 2020 (older) How a system grows from one server to many without falling over. 3.5 Paying Technical Debt at Scale - Migrations @Stripe Advanced · 44 min · 9.6K views · 2019 (older) How a system grows from one server to many without falling over. 3.6 Effective Performance Engineering at Twitter-Scale Advanced · 50 min · 4.8K views · 2024 How a system grows from one server to many without falling over. 3.7 Robust Foundation for Data Pipelines at Scale - Lessons from Netflix Advanced · 38 min · 4.7K views · 2022 How a system grows from one server to many without falling over. 3.8 Airbnb at Scale Advanced · 39 min · 4.7K views · 2022 How a system grows from one server to many without falling over. 3.9 Architectures That Scale Deep - Regaining Control in Deep Systems Advanced · 50 min · 3.9K views · 2021 (older) How a system grows from one server to many without falling over. 3.10 Architectures That Scale Deep - Regaining Control in Deep Systems Advanced · 50 min · 2.7K views · 2020 (older) How a system grows from one server to many without falling over. 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Latest uploads Distributed LLM Inference on Kubernetes with llm-d, Wasm, & TornadoVM 1.1K views · 4 days ago Your path · 0/168 watched Start with Scaling Push Messaging for Millions of Devices @Netflix 1. The building blocks0/75 2. Design whole systems (HLD)0/37 3. Go deeper0/56 All videos, channel names, pictures and comments belong to InfoQ and the people who wrote them. Videos play in YouTube’s own player and link back to the channel; nothing is copied. Numbers and comments come from YouTube and are refreshed regularly. By using them you also agree to the YouTube Terms of Service ; Google’s Privacy Policy applies. To have this page changed or removed, tell us here .
