Gossip Protocol: Low-Level Design
The gossip protocol (epidemic protocol) is a peer-to-peer communication method where each node periodically shares information with a small number […]
The gossip protocol (epidemic protocol) is a peer-to-peer communication method where each node periodically shares information with a small number […]
Real-time server-to-client communication requires the server to push data without waiting for a client request. Three primary patterns exist: long
A time series database (TSDB) is optimized for storing and querying time-stamped data — metrics, sensor readings, financial prices, event
Raft is a distributed consensus algorithm designed to be understandable — a deliberate contrast to Paxos, which is notoriously difficult
Exactly-once delivery means that every message is processed precisely once — neither lost (at-least-once) nor delivered multiple times (at-most-once). True
Observability is the ability to understand the internal state of a system from its external outputs. A system is observable
Backpressure is a mechanism that allows a downstream component to signal an upstream component to slow down — preventing fast
The Saga pattern is a way to manage data consistency across multiple services in a microservices architecture without using distributed
API versioning allows a service to evolve its interface without breaking existing clients. The fundamental challenge: once an API is
A skip list is a probabilistic data structure that provides O(log n) average time for search, insertion, and deletion —
A Merkle tree is a hash tree where every leaf node contains the hash of a data block, and every
A service mesh is infrastructure that manages service-to-service communication in a microservices architecture. It handles cross-cutting concerns — traffic management,
A Bloom filter is a space-efficient probabilistic data structure that answers membership queries: “Is this element in the set?” It
Distributed tracing tracks a single request as it traverses multiple services, recording the timing and relationships of each operation. In
Multi-tenancy is an architecture where a single application instance serves multiple customers (tenants), with each tenant’s data isolated from others.