AWS Database Blog

Category: Amazon RDS

Best storage practices for running production workloads on hosted databases with Amazon RDS or Amazon EC2

AWS offers multiple options to host your databases serving OLTP workloads – host your own managed database on Amazon EC2 instances or use Amazon RDS managed by AWS. RDS manages high availability, automated backups, database upgrades, OS patches, security, and read replica. RDS also offers the cloud-native option Amazon Aurora database engine, which is compatible […]

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Importing Amazon RDS Performance Insights counter metrics to Amazon CloudWatch

Amazon RDS Performance Insights is a feature that monitors Amazon RDS database instances so that you can analyze and troubleshoot database performance. You can view Performance Insights data in the AWS Management Console. Alternatively, Performance Insights provides a public API so that you can query your own data. You can use this API to ingest […]

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Selecting the right encryption options for Amazon RDS and Amazon Aurora database engines

Customers are increasingly choosing to encrypt their AWS Cloud databases and data stores by default. This trend is only gaining speed with the evolving meaning of sensitive data (personally identifiable information [PII], etc.) within various regulatory frameworks. Customers also ask AWS for guidance on how to best adopt the latest database encryption options, while maintaining […]

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Right-sizing Amazon RDS instances at scale based on Oracle performance metrics

Enterprise customers who are currently running on-premises, mission-critical applications on commercial databases are looking for cost-efficient, managed database service offerings. Amazon RDS is one of the target platforms for the relational database workload migration. RDS provides resizable capacity and manages time-consuming and undifferentiated heavy lifting administration tasks. For large-scale database migrations, there is a need […]

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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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Implementing a disaster recovery strategy with Amazon RDS

Amazon RDS (Relational Database Service) is a managed service that makes it easier to set up, operate, and scale a relational database. Based on AWS high performance compute and storage, Amazon RDS supports the MySQL, SQL Server, PostgreSQL, MariaDB, and Oracle database engines. It offers a complete set of solutions for provisioning, patching, monitoring, and […]

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Applying best practices for securing sensitive data in Amazon RDS

In the first post of the series, I described some generic security concepts and corresponding AWS security controls that can be applied to data stores on AWS. Using these, you can create a stronger security posture around your data. In this second post, I demonstrate how these concepts can be implemented to Amazon RDS databases. […]

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How to determine whether Kaigen (Japan era name transition) affects your MySQL compatible engines running on RDS

If you have software or systems that support Japanese customers, and if your software or systems need to display a Japan era name, you may need to make changes to display the new name. The new Japan era name comes into effect on May 1, 2019, when the current Japanese Emperor abdicates. In this blog […]

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Sharding with Amazon Relational Database Service

Sharding, also known as horizontal partitioning, is a popular scale-out approach for relational databases. Amazon Relational Database Service (Amazon RDS) is a managed relational database service that provides great features to make sharding easy to use in the cloud. In this post, I describe how to use Amazon RDS to implement a sharded database architecture […]

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