Database Performance at Scale
Database performance at scale is a critical consideration for organizations that handle large volumes of data and require fast and reliable access to that data. Scaling a database means adapting it to handle increased workloads, larger datasets, and higher numbers of concurrent users without compromising performance. This process involves various techniques and strategies, and it’s essential to address multiple aspects of database design and management. Let’s explore the key factors and considerations in detail: Database Architecture Sharding: Sharding involves dividing a large database into smaller, more manageable pieces called shards. Each shard can be hosted on a separate server or […]
Database Performance at Scale Read More »