gRPC is Google open-source RPC framework that uses HTTP/2 for transport and Protocol Buffers for serialization. It provides strongly-typed service […]

Caching is one of the highest-leverage performance optimizations available — serving data from memory (nanoseconds to microseconds) instead of disk

Probabilistic data structures trade exactness for dramatic reductions in memory and computation. Instead of exact answers, they provide approximate answers

Transaction isolation levels define how concurrent transactions interact with each other — specifically, which anomalies are allowed to occur when

A compiler translates source code in a high-level language to machine code (or bytecode) through a series of structured phases.

Data encoding (serialization) converts in-memory data structures to a byte format for storage or transmission. The choice of encoding format

A data pipeline moves data from source systems (production databases, event streams, APIs) through transformation stages to analytical destinations (data

A file system organizes data on storage media into files and directories, providing naming, access control, and efficient storage allocation.

A search engine indexes documents and answers queries of the form “find documents containing these terms” in milliseconds, even across

MapReduce is a programming model for processing large datasets in parallel across a cluster of commodity machines. Introduced by Google

A distributed cache stores frequently accessed data in memory across a cluster of nodes, reducing latency and database load. Redis