Engineering decisions.
Explained in practice.
Practical guides to reliable systems, from tenant isolation and integrations to AI retrieval and product operations.
Page 7 of 7 · Articles 73–84 of 84
GitHub Copilot’s new default feature policy: what enterprises must review
GitHub’s new Copilot policy can enable unconfigured GA features from 22 October. Learn the scope, exceptions, and a practical review plan for engineering teams.
GitHub proof of presence: fresh identity checks for sensitive actions
GitHub adds identity checks before sensitive enterprise actions. What the preview covers, how it works, and what product teams should test before rollout.
Tenant isolation with PostgreSQL Row-Level Security
A practical design for tenant context, database roles and isolation tests in a shared SaaS database.
How to evaluate a RAG pipeline before changing the model
Separate retrieval failures from answer failures with a small evaluation set, source checks and realistic commerce examples.
Designing webhooks for duplicates, retries and delayed events
A durable inbox, signature checks and idempotent processing for payment and commerce integrations.
Laravel queues: retries, transactions and safe side effects
A production-oriented approach to job boundaries, transaction timing, retries and operational visibility.
Choose PostgreSQL indexes from real query patterns
Read query plans, design a candidate composite index and measure the cost of faster reads.
Redis caching: freshness, tenant keys and invalidation
Design cache-aside around acceptable staleness, safe keys and an explicit invalidation strategy.
A modular monolith before microservices: defining real boundaries
Design modules around business ownership and explicit contracts before adding distributed operations.
Custom domains in SaaS: ownership, routing and TLS
Model custom domain onboarding as a lifecycle, from verified ownership to secure routing and removal.
Backend observability: follow the user’s operation across services
Connect metrics, structured logs and traces to diagnose slow requests and failed background operations.
Designing API contracts that survive real integrations
Define schemas, errors, pagination and compatibility before a client depends on your API.