AWS Announces Three New Database Capabilities - Seite 3

Amazon DynamoDB Standard-Infrequent Access (Standard-IA) table class reduces DynamoDB costs by up to 60% for tables that store infrequently accessed data

Customers choose DynamoDB for high-volume NoSQL workloads because it offers high throughput with consistent millisecond response times at virtually any scale without having to manage servers or clusters. As the patterns of DynamoDB workloads have become more diverse, there is a set of customers who have workloads where storage is the dominant cost for data that needs to be accessed less frequently over time but still requires fast response times when needed. For example, older social media posts, less recent ecommerce orders, and past video game achievements might represent a significant storage expense for customers due to their growing volume and the relatively high cost of storing this data, but they still require high throughput because when this data is requested it needs to be made immediately available. Today, customers optimize costs in these cases by writing code to move older, less frequently accessed data from DynamoDB to lower cost storage alternatives like Amazon S3.

With the new Amazon DynamoDB Standard-IA table class, customers can reduce DynamoDB costs by up to 60% for tables that store infrequently accessed data. The DynamoDB Standard-IA table class offers up to 60% lower storage costs than Standard DynamoDB tables, making it the most cost-effective option for tables where storage is the dominant table cost. In contrast, the DynamoDB Standard table class offers up to 20% lower throughput costs than the Standard-IA table class and remains the most cost-effective option for tables where throughput is the dominant table cost. Customers can switch between DynamoDB Standard and DynamoDB Standard-IA table classes with no impact to table performance and no code changes required to optimize their spend for the type of data they are storing. To get started with the DynamoDB Standard-IA table class, visit aws.amazon.com/dynamodb/standard-ia.

Amazon DevOps Guru for RDS uses machine learning to better detect and diagnose hard-to-find database-related performance issues and provides recommendations designed to resolve them in minutes not days

Amazon DevOps Guru is a machine learning powered service that makes it easier for developers to improve application availability by automatically detecting operational issues and recommending specific actions for remediation. Today, Amazon DevOps Guru alerts customers to operational issues across Amazon RDS engines. However, it can be complicated and time-consuming to determine the exact cause of a database-related issue because developers often need to enlist database administrators to manually run diagnostic tools and queries to determine the factors contributing to the issue. Once the cause of the issue is identified, database experts often need to do additional analysis to fully understand the problem (e.g. analyze database-specific metrics, events, and wait conditions or extract and analyze relevant SQL statements) before providing guidance on how to fix it. As a result, it can take hours or days to uncover and remediate underlying database issues that put application availability or user experience at risk.