Learn the basic anatomy of a production application from the perspective of a developer and an end-user
Learn the major components of a computer and how they work together. Individual computers are the building blocks of large scale systems and understanding how they work is crucial for design effective systems.
Learn the basic anatomy of a production application from the perspective of a developer and an end-user. The vast majority of applications follow this high-level architecture.
Learn what it means to design an effective distributed system. And how they are measured, including availability, reliability and scalability.
Learn how computers can send data to eachother.
Learn the high-level differences between the TCP and UDP transport layer protocols.
Learn the basics of the Domain Name System which translates domains into IP addresses.
Learn about the protocol of the internet: Hyper Text Transfer Protocol.
Learn how the WebSockets protocol can fill in the gaps left by HTTP/1.1.
Learn about 3 modern API patterns: REST, GraphQL and gRPC.
Learn about the basics of API design, focusing on designing a REST API for Twitter.
Learn about the basics of caching, from CPU caches to browser and in-memory caches.
Learn about content delivery networks and how they can reduce network latency for users around the world.
Learn about the basics of proxies, including the difference between forward-proxies and reverse-proxies. And understand the basics of load balancers, which are an instance of reverse-proxies.
Learn the benefits of using consistent hashing to distribute traffic.
Learn the basics of relational database management systems, including B+ Tree structures and ACID properties.
Learn about popular NoSQL databases like Key-Value stores, document-based and graph-based databases.
Learn how replication and sharding can allow databases to overcome some limitations, but not without their own tradeoffs.
Learn about CAP and PACECL theorems and how we can use them to understand tradeoffs within distributed data storage.
Learn the use cases for BLOB (Binary Large Object) and Object storage.
Learn how message queues and the Pub/Sub pattern can help scale and decouple our designs.
Learn the basics of the MapReduce model for processing large datasets in parallel.
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