When we are working with a database, optimization is crucial and key in terms of application performance and efficiency. Likewise, in Azure Cosmos DB, optimization is crucial for maximizing efficiency, minimizing costs, and ensuring that your application scales effectively. Below are some of the best practices with coding examples to optimize performance in Azure Cosmos DB.
1. Selection of Right Partition Key
Choosing an appropriate partition key is vital for distributed databases like Cosmos DB. A good partition key ensures that data is evenly distributed across partitions, reducing hot spots and improving performance.