AWS Database Blog
Category: Intermediate (200)
How Zulily drives discovery shopping using Amazon Kinesis Data Analytics and Amazon DocumentDB
This is a guest post by Sergey Podlazov – Director of Engineering (Shopping Experience) at Zulily, Senthil Kumar, Sr. Solutions Architect, AWS, and Praveen Chamarthi, Sr. Technical Account Manager, AWS August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog […]
Managed disaster recovery with Amazon RDS for Oracle cross-Region automated backups – Part 1
Today, customers using Amazon Relational Database Service (Amazon RDS) for Oracle have several managed high availability (HA) and disaster recovery (DR) capabilities to choose from based on your business requirements and use cases: With Amazon RDS Multi-AZ, you get enhanced availability and durability for database (DB) instances within a specific AWS Region. This is often […]
How to index on Amazon DocumentDB (with MongoDB compatibility)
October 2024: This post was reviewed and updated for accuracy. Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6, 4.0, and 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB […]
Deep dive on Amazon Aurora and Amazon RDS for PostgreSQL architecture and features
May 2024: This post was reviewed and updated for accuracy. If you’re considering migrating your self-hosted PostgreSQL database or transitioning your commercial databases to PostgreSQL on AWS, you’ll need to choose the database service that best aligns with your requirements. AWS offers two managed PostgreSQL database options: Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database […]
Key considerations in moving to Graviton2 for Amazon RDS and Amazon Aurora databases
Amazon Relational Database Service (Amazon RDS) and Amazon Aurora support a multitude of instance types for you to scale your database workloads based on your needs (see Amazon RDS DB instance classes and Aurora DB instance classes, respectively). In 2020, AWS announced Amazon M6g and R6g instance types for Amazon RDS and recently announced the […]
Performance impact of idle PostgreSQL connections
July 2023: This post was reviewed for accuracy. The first post of this series, Resources consumed by idle PostgreSQL connections, talked about how PostgreSQL manages connections and how even idle connections consume memory and CPU. In this post, I discuss how idle connections impact PostgreSQL performance. Transaction rate impact When PostgreSQL needs data, it first […]
Resources consumed by idle PostgreSQL connections
July 2023: This post was reviewed for accuracy. PostgreSQL is one of the most popular open-source relational database systems. With more than 30 years of development work, PostgreSQL has proven to be a highly reliable and robust database that can handle a large number of complex data workloads. AWS provides two managed PostgreSQL options: Amazon […]
Resetting your graph data in Amazon Neptune in seconds
As an enterprise application developer building graph applications with Amazon Neptune, you may want to delete and reload your graph data on a regular basis to make sure you’re working with the latest changes in your data, such as new relationships between nodes, or to replace test data with production data. In the past, you […]
Monitoring best practices with Amazon ElastiCache for Redis using Amazon CloudWatch
Monitoring is an important part of maintaining the reliability, availability, and performance of your Amazon ElastiCache resources. This post shows you how to maintain a healthy Redis cluster and prevent disruption using Amazon CloudWatch and other external tools. We also discuss methods to anticipate and forecast scaling needs.
Cross-Region disaster recovery of Amazon RDS for SQL Server
December 2022: Amazon RDS for SQL Server now supports cross-Region read replicas. Amazon RDS for SQL Server makes it easy to set up, operate, and scale SQL Server deployments in the Amazon Web Services (AWS) cloud environment. For your enterprise workloads, which depend on Amazon RDS for SQL Server, you need an effective disaster recovery […]







