Cursor-Based Pagination Done Right: Keyset Queries, Opaque Cursors, and the Pitfalls That Bite
Every API that returns a list eventually has to answer the same question: how do you hand out a million
Every API that returns a list eventually has to answer the same question: how do you hand out a million
Every API you ship is a promise. Clients hardcode your URLs, parse your field names, and schedule work around your
Continue readingAPI Versioning Strategies: Path vs Header, Calendar Dates, and Graceful Sunsets
The network drops the connection two seconds after your client sends the payment request. Did the charge go through? Your
Continue readingIdempotency Keys: Making API Retries Safe by Design
Somewhere between the first integration and the hundredth, every API team hits the same wall: the change you need to
Every distributed system has a breaking point. The downstream service you depend on will fail — not “might” fail, will
Continue readingCircuit Breakers in Go: Stopping Cascading Failures Before They Start
Pagination is one of those API design decisions that seems trivial until your dataset grows. Return everything at once and
Continue readingPagination at Scale: Choosing Between Offset, Keyset, and Cursor Strategies
The traditional security model for microservices relies on a perimeter: hard outer shell, soft trusted interior. Once a request passes
Continue readingZero Trust Architecture in Microservices: Identity, mTLS, and Authorization Policies
Every web developer has been there: a user clicks “Submit Payment” and nothing happens. The spinner keeps spinning. They click
Continue readingIdempotency Keys: Making Your API Safe for Retries
Constructors in Go are simple when a type has one or two fields. But the moment you start building something
Continue readingMastering the Functional Options Pattern in Go
Networks are unreliable. Clients retry requests. Messages get delivered twice. In a distributed system, the question isn’t whether a duplicate
Continue readingImplementing Idempotency in Go: Keys, Stores, and Patterns for Reliable APIs