Popular Scalability Articles

Database scalability is rarely solved by one optimization. Production systems scale through a combination of correct schemas, bounded queries, selective indexes, short transactions, controlled concurrency, caching, partitioning, replication, observability, and safe operational workflows.

Elasticsearch can scale from a small single-node deployment to clusters serving billions of documents, but horizontal scaling is not automatic. Adding nodes without understanding shard layout, workload distribution, recovery behavior, and memory pressure can make a cluster more complex without makin

System design decisions depend heavily on scale. An architecture serving 100 requests per second can look very different from one handling 100,000 requests per second, billions of stored objects, or millions of persistent connections.