Category: Advanced (300)

In Part 1 of this series, you learned about Amazon DynamoDB data loading strategies and the behavior of DynamoDB during short runs. In Part 2, you learned about query performance and the adaptive behavior of DynamoDB during sustained activity. In this third and final post, we review what you’ve learned, plus offer a few additional […]

In the Part 1 of this series, you learned about Amazon DynamoDB data loading strategies and the behavior of DynamoDB during short runs. In this post, you learn about query performance and the adaptive behavior of DynamoDB during sustained activity. Querying To drive traffic at arbitrarily large rates and simulate real-world behavior, we need a […]

The general rule with Amazon DynamoDB is to choose a high cardinality partition key. But why; and what happens if you don’t? Inspired by a customer use case, we dive deep into this question and explore the performance of loading and querying DynamoDB using different partition key designs and table settings. After each experiment, we […]

Customers who are considering migrating their Azure Cosmos DB workloads to Amazon DynamoDB ask what differences to expect. In this post, we discuss the differences to expect and plan for when migrating from Azure Cosmos DB to DynamoDB. DynamoDB is a serverless key-value database optimized for common access patterns, typically to store and retrieve large […]

A common challenge faced by customers migrating their application to a new Amazon Relational Database Service (Amazon RDS) for Oracle environment is unexpected performance degradations caused by query plans changes. Any of the following migration factors can lead to query plan digression and in this post, we outline a strategy to proactively address these stumbling […]

As customers migrate their Oracle databases to the Amazon Relational Database Service for Oracle, they may often benefit from a shared file system to be available on their Oracle database systems. This is either to share files between the database and application servers or to act as a staging location to keep backups, data loads, […]

Amazon Relational Database Service (Amazon RDS) Custom is a managed database service for legacy, custom, and packaged applications that require access to the underlying OS and DB environment. With RDS Custom for Oracle, you can now access and customize your database server host and operating system, for example by applying special patches and changing the […]

In this post, we advance the architecture that was discussed in Implement active-active replication with RDS Custom for Oracle: Part 1 – High Availability, where we implemented an Amazon RDS Custom for Oracle solution with multi-master and high availability. This post will show you how to add high availability (HA) and disaster recovery (DR) using Oracle […]

July 2023: This post was reviewed for accuracy. When using databases, you may need to move data into different systems, including other databases or other tools, to perform different analysis. One method to do this is through flat files, such as comma-separated value lists (CSVs), as these let you transfer data in a common format […]

Customers running their Microsoft SQL Server workloads on Amazon Relational Database Service (Amazon RDS) Custom for SQL Server ask us how they can persist changes at the operating system (OS) level even if Amazon RDS chooses to perform a host replacement. In the context of RDS Custom for SQL Server, a host replacement is when […]