Using FeathersJS Service Hooks to Validate and Log Todo Items
Learn how FeathersJS service hooks let you add validation and logging to a todo service without cluttering the core implementation.
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feathersjsJSON Schema Validation in a Java Microservice: Architecture, Trust Boundaries, and Failure Handling
Implement JSON Schema validation in a Java microservice to enforce contract compliance, define trust boundaries, and manage failure modes. The note covers requirements, minimal design, operational checks, failure handling, and when to change the architecture.
java
jsonCompile‑Time Validation with Jule: Faster, Safer, and Declarative Java Validation
Jule’s @Validate annotation turns validation into compile‑time, inlined code, cutting runtime overhead. Learn how to integrate, use, and evaluate this approach in your Java project.
juleEnforcing Data Trust Boundaries in Rust with Module Privacy and Newtypes
Use Rust's module privacy and newtype pattern to make invalid data unrepresentable: private fields, a public Result-returning constructor, and re-exports only of validated types. Enforce boundaries with clippy, cargo doc audits, and compile-fail tests.
rustCentralizing Validation with Mongoose Schema Hooks
Learn how to centralize validation and side‑effects in Mongoose using schema pre‑ and post‑save hooks, with a concrete password‑hashing example and guidance on testing and performance trade‑offs.
mongoose
nodejsDiagnosing Azure DevOps YAML Pipeline Validation Failures
When a pipeline stops at the queue with a “Validation failed” message, pinpointing the culprit can be confusing. This guide walks through common causes, quick checks, and targeted fixes so you can get your YAML pipelines running again.
yamlChoosing Mongoose Validators: Built‑in vs Custom
When defining a Mongoose schema, decide between built‑in validators and custom functions. This guide compares options, explains trade‑offs, and provides a concrete example with performance checks.
Reducing Validation Boilerplate in Swift with Property Wrappers
Learn how a @Validated property wrapper can centralize email and string checks, cut repetitive code, and what trade‑offs to expect.
Using Dyalog Domain Objects for Safe Numeric Ranges in APL
Learn how Dyalog APL domain objects provide automatic range validation that propagates through vectorized code, with a worked temperature‑conversion example and notes on performance and version limits.
apl
dyalog