AWS Database Blog

Implementing priority queueing with Amazon DynamoDB

Queuing is a commonly used solution for separating computation components in a distributed processing system. It is a form of the asynchronous communication system used in serverless and microservices architectures. Messages wait in a queue for processing, and leave the queue when received by a single consumer. This type of messaging pattern is known as […]

Your guide to Amazon DynamoDB sessions, workshops, and chalk talks at AWS re:Invent 2019

Last updated: December 3, 2019 AWS re:Invent 2019 is almost here! This post includes a complete list of Amazon DynamoDB sessions, workshops, and chalk talks at AWS re:Invent 2019. Use the information on this page to help schedule your conference week in Las Vegas this year. If you still haven’t registered for re:Invent and need some […]

Amazon RDS now supports detailed backup storage billing

Recently, AWS announced the general availability of the Amazon RDS detailed backup storage billing feature. This feature applies to PostgreSQL, MySQL, MariaDB, Oracle, and SQL Server database engines. Before the release of this feature, Amazon RDS backup charges were presented as a single-line item per Region on the monthly bill. However, it was hard to […]

Sending notifications from Amazon Aurora PostgreSQL

Enterprise customers execute many day-to-day batch jobs on Amazon Aurora PostgreSQL databases, and need notification methods such as email or text after completing such jobs to keep track of their activity. Because Aurora PostgreSQL is a managed service, it restricts access to database extensions such as pgsmtp and pgplpythonu for security reasons. This raises the […]

Choosing the right number of shards for your large-scale Amazon DynamoDB table

As a general design best practice, you can optimize your use of Amazon DynamoDB throughput capacity by designing your application for uniform read and write activity across all logical partition keys in the table and its indexes. In doing so, you can prevent creating hot partitions that could consume a disproportionate amount of your table’s […]

Automating table mappings creation in AWS DMS

AWS Database Migration Service (AWS DMS) helps you migrate on-premises databases to AWS quickly and securely. It supports homogeneous migrations as well as heterogeneous migrations. The source database remains operational while the migration is running or being tested. Migration takes place using a DMS replication server, source, target endpoints, and migration tasks. If you are […]

Enabling SSL encrypted connections to Microsoft SQL Server using AWS Certificate Manager Private Certificate Authority

Organizations moving to secure their critical data worry about while it’s both at-rest and in transit. Relational databases are a common example of situations in which business-critical data must be secured. Microsoft SQL Server lets you secure the in-transit data using Secure Sockets Layer (SSL) encryption. This post reviews the process of enabling SSL encryption […]

Validating database objects after migration using AWS SCT and AWS DMS

Database migration can be a complicated task. It presents all the challenges of changing your software platform, understanding source data complexity, data loss checks, thoroughly testing existing functionality, comparing application performance, and validating your data. AWS provides several tools and services that provide a pre-migration checklist and migration assessments. You can use the AWS Schema […]

Using SPARQL explain to understand query execution in Amazon Neptune

Customers continue to want greater visibility and control over the services they use within AWS. When it comes to our database services, customer requests typically revolve around providing greater insights into the query optimization and processing within a given database. Database developers and administrators are mostly already familiar with the idea and use of database […]