Idempotency means that performing an operation multiple times produces the same result as performing it once. In distributed systems, network […]

A vector database stores high-dimensional vector embeddings and enables fast approximate nearest neighbor (ANN) search — finding the K vectors

Distributed tracing tracks a single request as it propagates through multiple services in a microservices architecture. Without tracing, debugging latency

A skip list is a probabilistic data structure that allows O(log n) search, insertion, and deletion on an ordered sequence,

An API rate limiter controls how many requests a client can make within a time window, protecting backend services from

A Bloom filter is a space-efficient probabilistic data structure that tests whether an element is a member of a set.

A distributed task queue decouples work producers from workers, enabling async processing, retries, scheduling, and horizontal scaling. Common use cases:

Database replication maintains copies of a database on multiple servers for high availability, read scaling, and disaster recovery. Understanding replication

Microservices architecture decomposes a monolith into independently deployable services, each owning a bounded domain. This enables independent scaling, technology heterogeneity,