An application communicates with a database by establishing connections. One key challenge for modern serverless applications is connection management. In this post, we describe some of the important best practices for Aurora Serverless v1 such as operational debugging tools, security, and monitoring. With Aurora Serverless v1, you should be mindful of a few things, such as connection management and cold starts. Arranging to have just the right amount of capacity for these workloads can be a lot of work paying for it on a steady-state basis might not be sensible. Some examples are development and test databases that are infrequently used, ecommerce applications occasionally running flash sales, or new applications you can’t predict capacity for. This blog post focuses on best practices for working with Aurora Serverless v1 databases.Īurora Serverless v1 is suitable for workloads that have intermittent, infrequent, or unpredictable bursts of requests. Amazon Aurora Serverless v1 is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads.
As it scales, it adjusts capacity in fine-grained increments to provide just the right amount of database resources and supports all manners of database workloads. Amazon Aurora Serverless v1 scales instantly from hundreds to hundreds-of-thousands of transactions in a fraction of a second.
November 2022: This post was reviewed and updated for accuracy.Īmazon Aurora Serverless v1 is an on-demand, auto-scaling configuration for Amazon Aurora.
0 kommentar(er)
