DNS
The Domain Name System translates human-readable domain names into IP addresses that computers use to route network traffic. DNS is a hierarchical, distributed naming system that underpins virtually all internet communication and is a critical factor in application performance.
DNS resolution happens before any HTTP request can be made, making it the first potential bottleneck in every page load. The resolution process traverses a hierarchy from root servers to TLD servers to authoritative nameservers, with caching at multiple levels reducing repeat lookups. DNS TTL settings control how long resolvers cache responses, balancing freshness against performance.
For AI product teams, DNS configuration directly impacts performance and reliability. Using a managed DNS service with global anycast routing ensures fast resolution worldwide. DNS-based traffic management enables geographic routing to the nearest AI inference endpoint, weighted routing for gradual rollouts, and health-check-based failover when endpoints become unhealthy. Growth teams should monitor DNS resolution times as part of their performance metrics because slow DNS adds latency that users experience but that may not appear in server-side metrics. During incidents, DNS TTL settings determine how quickly traffic can be redirected, so overly aggressive caching can delay recovery. A well-designed DNS strategy balances resolution speed, operational flexibility, and resilience.
Related Terms
Content Delivery Network
A geographically distributed network of proxy servers that caches and delivers content from locations closest to end users. CDNs reduce latency, improve load times, and absorb traffic spikes by serving content from edge nodes rather than a single origin server.
Edge Computing
A distributed computing paradigm that processes data closer to the source of generation rather than in a centralized data center. Edge computing reduces latency, conserves bandwidth, and enables real-time processing for latency-sensitive applications.
Serverless Computing
A cloud execution model where the provider dynamically manages server allocation and scaling. Developers deploy functions or containers without provisioning infrastructure, paying only for actual compute time consumed rather than reserved capacity.
Function as a Service
A serverless computing category where developers deploy individual functions that execute in response to events. FaaS platforms like AWS Lambda, Google Cloud Functions, and Azure Functions handle all infrastructure management, scaling each function independently.
Platform as a Service
A cloud computing model that provides a complete development and deployment environment without managing underlying infrastructure. PaaS offerings like Heroku, Vercel, and Google App Engine handle servers, storage, networking, and runtime configuration.
Infrastructure as a Service
A cloud computing model that provides virtualized computing resources over the internet. IaaS offerings like AWS EC2, Google Compute Engine, and Azure Virtual Machines give teams full control over servers, storage, and networking without owning physical hardware.