Author name: techinterview.org

⏱ 5 min read Why Health Check Endpoints Matter A health check endpoint gives orchestration platforms and load balancers a programmatic way to know […] Read article

⏱ 6 min read Autoscaler: Core Responsibility An autoscaler dynamically adjusts the number of compute instances (replicas, pods, VMs) running a service based on Read article

⏱ 6 min read Package Registry: What It Solves A package registry is a versioned artifact store for software libraries. Developers publish packages; consumers Read article

⏱ 6 min read CDN Edge Cache: What It Does A content delivery network (CDN) accelerates content delivery by caching responses at Points of Read article

⏱ 5 min read Metrics Aggregation: Purpose and Scope A metrics aggregation service collects numeric measurements from infrastructure and applications, stores them as time Read article

⏱ 6 min read Alerting System: Goals and Challenges An alerting system monitors metrics and fires notifications when conditions violate defined thresholds. The central Read article

⏱ 6 min read Web Crawler: Core Architecture A web crawler fetches web pages at scale, extracts links, and feeds them back into the Read article

⏱ 5 min read Order State Machine An order progresses through a defined set of states with controlled transitions: CART → PLACED → PAYMENT_PENDING Read article

⏱ 5 min read Fixed Window Counter and Its Problem The simplest rate limiter increments a counter per time window and resets it at Read article

⏱ 5 min read Compatibility Definitions Schema evolution is the ability to change a data schema over time without breaking producers and consumers that Read article

⏱ 5 min read The Tolerant Reader Pattern The tolerant reader pattern (Martin Fowler, 2011) describes how a service should consume data from external Read article

⏱ 5 min read The Bulkhead Analogy A ship's hull is divided into watertight compartments (bulkheads). If one compartment floods, the others remain dry Read article

⏱ 5 min read Why Retry Policies Matter Transient failures — network blips, momentary overload, upstream restarts — are normal in distributed systems. A Read article

⏱ 5 min read What Is an Idempotency Service? An idempotency service ensures that duplicate requests — caused by client retries, network timeouts, or Read article

⏱ 9 min read Read Scaling Overview Read scaling addresses the most common bottleneck in production systems: reads vastly outnumber writes (often 10:1 to Read article