Caching fundamentals and invalidation
What caching actually buys and why invalidation is the hard half.
Learning path
Scaling and performance
Make systems handle more load without spending more than the load is worth.
0of 10 available now
Start here
Get started
This path is coming soon.
In order
Topics.
Coming soon
Read models and materialized views
Precompute query-shaped data instead of deriving it on every request.
Indexing and query patterns
Design indexes from the queries you actually run, not from the schema.
Connection pooling and resource limits
Why a database falls over long before the application does.
Horizontal versus vertical scaling
When adding machines beats adding capacity to one machine.
Partitioning and sharding
Split data across nodes and live with the queries that no longer work.
Rate limiting and throttling
Protect shared capacity by deciding whose requests get refused.
Performance budgets and measurement
Measure latency honestly with percentiles before optimizing anything.
Asynchronous I/O and concurrency models
How threads, event loops, and async runtimes spend a machine differently.
Capacity planning and load testing
Find the breaking point deliberately instead of discovering it in production.