
Database Sharding Strategies and Trade-Offs
A practical guide to database sharding — covering partitioning strategies, shard key selection, cross-shard queries, and the operational complexity that comes with distributing data.
Tags
41 articles · Page 3 of 4

A practical guide to database sharding — covering partitioning strategies, shard key selection, cross-shard queries, and the operational complexity that comes with distributing data.

A practical guide to consensus algorithms — covering Raft, Paxos, and leader election patterns with real-world examples of when and why distributed systems need them.

A practical guide to event sourcing — when to use it, how to implement event stores, build projections, handle schema evolution, and avoid common pitfalls.

How API gateways handle routing, authentication, rate limiting, and response aggregation — with patterns for building or choosing the right gateway for your architecture.

A comparison of threading, async/await, and actor-based concurrency models — when each fits, their tradeoffs, and how to avoid common pitfalls.

How to implement timeouts, retries, and backoff strategies that prevent cascading failures in distributed architectures.

Command Query Responsibility Segregation uses different models for reading and writing data — here's when it solves real problems and when it's unnecessary complexity.

Entities, value objects, aggregates, and bounded contexts — the DDD patterns that keep complex business logic organized without over-engineering simple systems.

Event-driven systems decouple producers from consumers through asynchronous message passing — but eventual consistency, ordering guarantees, and idempotency introduce real complexity.

RabbitMQ, Redis Streams, or Kafka — understanding the messaging patterns behind decoupled, resilient systems and when each tool fits.

Not everything belongs in the request-response cycle — queues, workers, retries, and dead letter patterns for reliable background processing.

Feature flags decouple deployment from release — here's how to implement them without creating a tangled mess of conditional logic across your codebase.