Connecting Developers to Architectural Excellence
Connecting Developers to Architectural Excellence
In distributed systems, ensuring data integrity—the assurance that data remains accurate, consistent, and unaltered during transmission, storage, or processing—is critical for reliability and trust in applications like e-commerce (e.g., Amazon), financial systems (e.g., PayPal), or streaming platforms (e.g., Netflix). Checksums…
What we’re doing today (and why) Yesterday (Day 1) we stood up two endpoints: Today we’ll refactor the project so those endpoints (and every new one we add) remain clean, readable, testable, and easy to evolve. No new business features…
Introduction A single point of failure (SPOF) refers to any component in a system—such as a node, service, network link, or database—whose failure can cause the entire system to become unavailable or degrade significantly. In distributed systems, where scalability, reliability,…
What we will build today (and why) Today we lay the cornerstone of the entire book: two REST endpoints for our Task resource. This sounds simple, but it’s where many APIs drift from REST and become hard to evolve. We’ll…
Abstract This document provides a thorough examination of an end-to-end cryptographic middleware designed for ASP.NET Core applications. The middleware facilitates secure message exchange between a client and a server by enforcing transport-layer security (HTTPS), verifying digital signatures, encrypting and decrypting…
Introduction Distributed systems, such as those involving multiple nodes in databases, caches, or microservices, are inherently prone to failures due to network partitions, node crashes, high latency, or resource exhaustion. Handling failures effectively is essential to maintain reliability, availability, and…
Introduction In distributed systems, ensuring that nodes (e.g., servers, databases, or services) are operational and responsive is critical for maintaining reliability, availability, and fault tolerance. Heartbeats and liveness detection are mechanisms used to monitor the health and operational status of…
Introduction Generating unique identifiers (IDs) in distributed systems is critical for ensuring data integrity, scalability, and reliability across multiple nodes, such as in databases, caches, or message queues. Unique IDs are used to identify records, transactions, or events (e.g., user…
Introduction Idempotency is a critical concept in distributed systems, ensuring that operations can be safely retried without causing unintended side effects, thereby enhancing reliability and fault tolerance. In distributed environments, where network failures, retries, and partial failures are common, idempotency…