Python: Database Transactions and Preventing Partial Updates
Introduction Many backend operations require several database changes to succeed together. Transferring money, placing an…
Java: Containerizing Applications for Consistent Deployments
Introduction A Java application may work on a developer's machine but fail in a test…
C#: Cancellation Tokens and Timeouts in Reliable Applications
Introduction Applications often perform work that users no longer need. A browser request may be…
Posted inNext.js
Next.js: Caching, Revalidation, and Avoiding Stale Data
Introduction Caching can make a Next.js application faster and reduce unnecessary requests to databases and…
Posted inFlutter
Flutter: State Management Without Unnecessary Complexity
Introduction State management becomes difficult when multiple widgets need the same data or when asynchronous…
Posted in.NET
ASP.NET Core: Centralized Error Handling and Problem Details
Introduction An API should return errors that are predictable for clients and useful for developers.…
Posted inJava
Java: Structured Concurrency and Managing Related Tasks
Introduction A server request may need information from several independent sources: a customer service, an…
Posted inReact
React: Building Accessible Forms with Reliable Validation
Introduction Forms are often the most important interaction in a web application. A registration form,…
Posted inPython
Python: Reliable Background Tasks with Queues and Workers
Introduction Not every operation belongs inside an HTTP request. Sending emails, generating reports, processing uploaded…