Low Level Design: Cross-Region Failover
Cross-region failover reroutes traffic from a failed primary region to a healthy secondary region. The failover must be fast (under […]
Cross-region failover reroutes traffic from a failed primary region to a healthy secondary region. The failover must be fast (under […]
Binary protocols encode messages as compact byte sequences, achieving lower overhead, faster parsing, and smaller payloads than text-based formats (JSON,
Data tiering organizes data across storage tiers based on access frequency and cost sensitivity. Hot data (frequently accessed) lives on
Platform engineering builds an Internal Developer Platform (IDP) that provides self-service infrastructure capabilities to application teams. Instead of every team
Adaptive concurrency limiting automatically tunes the number of concurrent requests a service allows based on observed performance. Unlike static rate
Content fingerprinting detects duplicate or near-duplicate content at scale: identifying web pages that have been copied, finding similar images across
Tail latency (p99, p999 latency) is the response time experienced by the slowest few percent of requests. While average latency
A Write-Ahead Log (WAL) is the durability mechanism at the heart of most databases and storage systems. Before any data
Graceful shutdown ensures a service stops cleanly: completing in-flight requests, draining connections, flushing buffers, and releasing resources before the process
Database migrations change schemas, engines, or data models in production databases that serve live traffic. The challenge is making changes
Zero trust security replaces the traditional perimeter-based model (“trust everything inside the network”) with “never trust, always verify.” Every access
Stream processing applies computations to unbounded data streams in real time. Windowing divides the infinite stream into finite chunks so
Shadow mode testing (dark launch or traffic mirroring) runs a new code path in parallel with the production path, comparing
Site Reliability Engineering (SRE) formalizes reliability using three measurements: Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level
Search relevance ranking determines the order in which results are presented for a given query. Poor ranking makes a search