Category: Learning Levels

Whether you’ve used DynamoDB for a day or a decade, this question has no practical relevance. As a serverless database, DynamoDB doesn’t have a version. DynamoDB has had no version upgrades, no maintenance windows, no patching, and no downtime due to maintenance since launching in January 2012. You access new DynamoDB features as they become […]

In this post, we discuss the challenges with traditional data analytics mechanisms, our approach to solve them, and how you can use Amazon Aurora PostgreSQL-Compatible Edition zero-ETL integration with Amazon Redshift, which is generally available as of October 15th, 2024.

In this post, we explore how to import pre-generated Amazon Personalize recommendations into Amazon DynamoDB.

This post is a follow-up to How Zendesk tripled performance by moving a legacy system onto Amazon Aurora and Amazon Redshift. In this post, we go over the techniques we used to plan and upgrade major versions of Aurora PostgreSQL databases for Zendesk Explore with minimal customer downtime. We also discuss the performance optimizations we performed, the cost savings we achieved, and how we accomplished all of this within a period of 6 months. AWS Technical Account Managers played a significant role in helping us achieve these goals in a short period of time. The upgrade was performed successfully and without customer downtime.

Today, Amazon MemoryDB announces support for Valkey version 7.2, with 30% lower instance hour pricing as compared to Amazon MemoryDB for Redis OSS. With MemoryDB for Valkey, there is no charge for data written up to 10 TB per month, and then billed at $0.04/GB for any data written over 10 TB. Valkey is an […]

Today, Amazon ElastiCache announces support for Valkey version 7.2 with Serverless priced 33% lower and self-designed (node-based) clusters priced 20% lower than other supported engines. With ElastiCache Serverless for Valkey, customers can create a cache in under a minute and get started as low as $6/month. Valkey is an open source, high performance, key-value datastore […]

As of October 8th 2024, we’ve added support for Valkey 7.2 on Amazon ElastiCache and Amazon MemoryDB, our fully managed in-memory services. In this post, we discuss the AWS contributions to Valkey, AWS commitment to making Valkey more accessible for ElastiCache and MemoryDB customers, and how customers can start using it in their applications.

AWS announced that Amazon Aurora Serverless v2 supports database capacity of up to 256 Aurora Capacity Units (ACUs). Aurora Serverless v2 is an on-demand, auto scaling configuration for Amazon Aurora. It adjusts capacity in fine-grained increments to provide the right amount of database resources that the application needs. There is no database capacity for you […]

Amazon Relational Database Service (Amazon RDS) for SQL Server makes it straightforward to set up, operate, and scale SQL Server deployments in the AWS Cloud. The service allows DBAs to focus on high-value tasks such as query optimization, query construction, and schema design rather than time-consuming database administration tasks including provisioning, backups, software patching, monitoring, […]

In this post, we show you an analysis tool which serves as a starting point to your database analysis journey by highlighting specific interdependencies between database objects: object dependencies, object constraints, and trigger references. Through a combination of SQL queries on the source Oracle database dictionary and Excel filters, the solution in this post can capture interdependent database objects for a target schema and generate a visual dependency diagram.