Chaos Engineering
Database failures are uniquely destructive. Most applications can degrade gracefully when a downstream API is slow — retry logic, circuit breakers, and fallback responses let users continue with reduced functionality. But when the database fails, most applications fail completely. This makes the database the highest-value target for chaos engineering. Understanding exactly
Database Testing
Xata is a serverless database platform built on PostgreSQL with a TypeScript SDK, full-text search, branch-based development workflows, and an HTTP API. Its branch feature — where every branch gets an isolated database — makes it particularly interesting for testing: you can create a branch per pull request and get real database
Database Testing
PocketBase is an open-source backend in a single Go binary: embedded SQLite database, realtime subscriptions, file storage, auth, and an extensible Go framework — all in one 30MB executable. It's become popular for indie projects, prototypes, and small teams who want a real backend without the operational overhead. Testing
Database Testing
Nhost is an open-source Firebase alternative that combines PostgreSQL, Hasura GraphQL Engine, Auth (JWT-based), Storage, and serverless functions into a single deployable platform. It's popular with teams who want typed GraphQL APIs auto-generated from their database schema without writing resolvers. Testing Nhost applications involves several distinct concerns: GraphQL
Database Testing
Backend-as-a-Service (BaaS) platforms have become a default choice for teams who want authentication, databases, storage, and real-time subscriptions without building backend infrastructure from scratch. Platforms like Appwrite, Nhost, PocketBase, Xata, and Supabase each offer Firebase-style convenience with different trade-offs. Testing BaaS-backed applications requires a different mental model than testing a
Database Testing
Appwrite is an open-source backend platform that packages auth, databases, storage, functions, and messaging into a single self-hostable (or cloud) service. It's popular with teams who want Firebase-style convenience without the Google dependency. Testing Appwrite-backed applications, however, isn't always obvious — the SDK is designed for browser
Testing
Your database going down is not a matter of if — it's when. A disk fills up, a cloud provider has an AZ outage, a runaway query corrupts an index, a network partition isolates the primary. The question is whether your failover mechanism works correctly and whether your application
Testing
Database layers fail in ways that application layers don't. HTTP servers can scale horizontally almost indefinitely — databases hit hard limits around connections, lock contention, and I/O capacity. Stress testing the database independently from the application reveals bottlenecks that composite API tests often miss. Why Database Stress Testing
Testing
Row-Level Security (RLS) is PostgreSQL's mechanism for enforcing data access policies at the database layer. For multi-tenant SaaS applications, RLS is a powerful defense-in-depth tool — even if application-layer authorization has a bug, RLS prevents cross-tenant data leakage at the database level. But RLS policies themselves can have bugs.
Rust
Database tests are the ones developers skip first. They're slow, they need real infrastructure, they leave state behind that breaks subsequent runs, and they're painful to set up in CI. SQLx and the Rust testing ecosystem have largely solved these problems — #[sqlx::test] auto-migrates and auto-rolls-back,
Database Testing
Prisma has become one of the most popular ORMs in the Node.js ecosystem, and for good reason. Its auto-generated TypeScript client, powerful migration system, and intuitive query API make database work genuinely pleasant. But testing Prisma-based applications requires a clear strategy — one that separates fast unit tests from thorough
Database Testing
Sequelize has been a cornerstone of Node.js database development for over a decade. While newer ORMs have taken some of the spotlight, millions of production applications still run on Sequelize, and many teams are actively maintaining large Sequelize codebases that need solid test coverage. Testing Sequelize effectively is more