Published by BaseStation Private Limited For software architecture, system design, or backend services, visit base-station.io. More technical articles at blog.base-station.io. A production Nuxt storefront was functional. Pages loaded. Nothing was broken. But the Lighthouse Performance score on mobile sat at 72, and desktop at 82. Neither is

Storing embeddings has become a routine step in enabling semantic search and feeding context into LLM infrastructure. The vector database chosen to index those embeddings dictates query latency, recall precision, and the operational burden on the backend team. Three paths now dominate production stacks: pgvector, an extension that turns an

Databases grow. Eventually the single-node buffer pool stops hiding the disk thrash, and a 20 TB table forces the conversation. Horizontal partitioning, commonly called database sharding, splits a logical dataset across multiple independent database instances. The mechanics are straightforward. The strategic choice, the shard key, is not. It encodes assumptions

The Operational Decision Matrix: Coupling, Ownership, and Team Reach Selecting a transport binds your deployment topology, state management strategy, and incident response flow. WebSockets require a stateful server capable of maintaining many open TCP connections, often demanding sticky sessions when horizontally scaled. Your platform team owns a persistent socket lifecycle

Event-driven architecture promises system decoupling and the ability to handle asynchronous processing without blocking the request path. The promise is real. The execution hides costs that surface only when you operate the system at scale. The broker you choose determines the nature of those costs. This article walks through the

An idempotency key allows a server to return the same outcome for a repeated request without re-executing the operation. In payment gateways, where a single retry can trigger a duplicate charge, the key’s design and storage directly determine whether your system tolerates that failure. Where to Place Your Idempotency

Software architects implement circuit breakers, retries, bulkheads, and graceful degradation to achieve high availability. Many of these mechanisms remain untested outside of unit tests. They are assumptions. Chaos engineering converts those assumptions into proven system resilience by injecting controlled failures into running systems. For SREs and architects, the decision is

Dogma - a belief or set of beliefs that people are expected to accept as true without questioning. Caching strategies layered across the request path reduce redundant work by orders of magnitude. Each tier (client, edge, server, in-memory store, database buffer) cuts latency and eases load on downstream systems, but