AWS Database Blog

Category: Database

Improving Business Continuity with Amazon Aurora Global Database

As your business grows increasingly global, your database needs similarly expand. Resources must be just as available to your team in Zurich as they are to your office in Beijing, with the same speed, security, and ease of access. Amazon Aurora Global Database expands your Amazon Aurora database across the planet. Aurora builds its storage volumes […]

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Optimizing Amazon DynamoDB scan latency through schema design

In this post, we demonstrate how Amazon DynamoDB table structure can affect scan performance and offer techniques for optimizing table scan times. Amazon DynamoDB is a NoSQL database that allows for a flexible schema. This means that items in the same table may differ from each other in terms of what attributes are present for each […]

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Python code to download DMS Task Logs using the AWS DMS Task ID

With AWS Database Migration Service (AWS DMS), you can migrate databases to AWS quickly and securely. In this post, we walk through the sample Python code required to download AWS DMS task logs on to your local computer using the AWS DMS task ID. Overview The DMS task logs contain task information logged during the […]

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Building a Modern Application with Purpose-Built AWS Databases

In this blog post, we discuss AWS purpose-built databases and how to use them to create rich experiences for your customers. We also walk through a detailed example of these databases powering different experiences in an application, and provide the tools you need to spin up the app for yourself in minutes.

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Migrating mission-critical SaaS production workloads to Aurora MySQL from RDS Classic

Sumo Logic started around the same time as the AWS stack was starting to mature. The company initially chose infrastructure that was tried and tested, but also cutting-edge at the time, namely Amazon RDS for MySQL instances. However, over time, that choice started to cost us a significant number of developer hours. Developers spent time […]

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Use cases for query plan management in Amazon Aurora PostgreSQL

This blog post is the second in a series. The previous blog post talks about the need for the stable, consistent database performance amid changes that otherwise can cause regression on execution plans of the SQL statements. It also demonstrates how query plan management (QPM) for Amazon Aurora with PostgreSQL compatibility helps you overcome plan […]

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Introduction to Aurora PostgreSQL Query Plan Management

Like all AWS services, the roadmap for Amazon Aurora PostgreSQL is driven mostly by customer feedback and requests for product enhancement. The feedback from several enterprise customers who have migrated their databases from Oracle and Microsoft SQL Server to Amazon Aurora suggests two things. Enterprises that run their database workloads for critical applications require optimal […]

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Level Up Your Games with Amazon Aurora

Dhruv Thukral and Yahav Biran are solutions architects at Amazon Web Services. Amazon Aurora is a relational database that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora offers two types of modes: provisioned and serverless. AWS gaming customers that use Aurora have typically observed higher […]

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How SimilarWeb moved to Amazon DynamoDB from Couchbase and saved 70%

This is a guest blog post by Doron Grinzaig, a software developer at SimilarWeb, in partnership with AWS solutions architect, Leonid Koren, and AWS senior technical account manager, Ziv Shenhav. NoSQL databases are a great fit for many modern mobile, web, and gaming applications that require scalable, flexible, and highly functional databases. However, NoSQL databases by […]

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