DevCerts
Best practices, practical recommendations, and relevant updates on certification, exam preparation, public verification, and professional credibility for developers and IT teams.
Recent articles
Codex vs Claude Code is not a question of which assistant feels smarter in a demo. For professional teams, the useful comparison is how each tool behaves across real tasks: repository discovery, refactoring, tests, review, CI, and production-oriented delivery discipline.
Laravel Boost is not another AI wrapper. It gives coding agents the Laravel-specific context, project awareness, documentation access, and guardrails they need to produce code that is easier to review, test, and maintain.
A production frontend should not break silently because the backend renamed a field. This article compares OpenAPI, Zod, tRPC, and manual TypeScript interfaces as practical ways to make API contracts explicit, testable, and harder to violate.
PHP memory limit errors in imports, queues, and cron jobs are rarely solved by raising memory_limit alone. The real work is finding where objects, arrays, ORM models, XML trees, and job state accumulate across long-running execution.
Pydantic is not just a convenience layer for parsing JSON. Used well, it becomes a production boundary: validating external input, stabilizing DTOs, versioning APIs, and turning bad data into predictable failures instead of hidden bugs.
A practical comparison of Go’s standard library, chi, echo, and fiber through the lens that matters after launch: how easy the API remains to test, debug, extend, and maintain one year later.
Typed forms do not become maintainable because every field has a clever generic. They become maintainable when API payloads, component contracts, user input, and validation errors are modeled as separate boundaries.
Kubernetes can improve deployment safety and resilience, but it also raises the cost of operations. For small projects, the right decision depends less on container count and more on support burden, monitoring maturity, release frequency, and team capacity.
Kubernetes requests and limits are not tuning details. They decide where pods can run, how much capacity the cluster reserves, when workloads throttle, and when containers are killed. Used well, they reduce cost and make scaling predictable. Used poorly, they hide waste and create production-only failures.
TypeScript prevents many defects, but it does not make invalid data valid. The real risk comes from escape hatches such as any, type assertions, weak records, and unchecked nullable values at system boundaries.
EXPLAIN ANALYZE is not only a DBA tool. For backend engineers, it is a practical way to understand why a PostgreSQL query is slow, whether the problem is a sequential scan, a nested loop, a sort, or simply reading too many buffers.
Zero-downtime deployment in Kubernetes is not just a rolling update setting. For backend APIs, queues, database migrations, long-running requests, and SIGTERM handling, availability depends on how the application lifecycle and cluster lifecycle cooperate.