The Hidden Complexity of Distributed Databases
Why consistency, availability, and partition tolerance can't all exist together. How real systems make trade-offs. What the CAP theorem means in practice for architecture decisions.
Tech analysis, industry changes, and deep dives into what matters. Not breaking news, but thoughtful explanations of developments that affect how we build software and think about systems.
Why consistency, availability, and partition tolerance can't all exist together. How real systems make trade-offs. What the CAP theorem means in practice for architecture decisions.
State management, routing, bundling, server-side rendering, hydration. How we got here and what trade-offs we're actually making when we choose React, Vue, or Svelte.
Why Rust doesn't have a garbage collector. How ownership, borrowing, and lifetimes prevent memory issues at compile time.
Beyond the surface comparisons. ACID compliance, indexing strategies, JSON support, and when each actually matters.
Kubernetes isn't always the answer. When containers help, when they add complexity, and simpler alternatives that work.
Flexible queries come with costs. N+1 problems, caching complexity, and when REST is still the better choice.
Authentication and authorization aren't the same thing. How OAuth flows work, what tokens mean, and why security is harder than it looks.
From single server to distributed architecture. Load balancing, caching, database sharding, and the real-world decisions that matter at scale.
Arrays, trees, hash tables, and graphs. Not just implementation, but when each structure provides real performance benefits.
ES6+, async patterns, closures, prototypes, and the event loop. Understanding how JavaScript actually works under the abstractions.
Consistency, clear naming, proper error handling, versioning strategy. The principles that make APIs a pleasure to use instead of a frustration.
How garbage collection works, common leak patterns, and debugging tools. Why even languages with automatic memory management still have memory problems.
Automated testing, deployment strategies, rollback procedures. Building confidence in your release process without making it fragile or slow.
Generics, union types, type guards, and conditional types. How TypeScript catches errors at compile time and when type annotations actually help.
First, second, third normal forms. When to normalize, when to denormalize, and how database design affects query performance.