Category: Amazon Aurora

Amazon Aurora is a relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. The PostgreSQL-compatible edition of Aurora delivers up to three times the throughput of standard PostgreSQL running on the same hardware. This enables existing PostgreSQL applications and tools to run […]

PostgreSQL is one of the most popular open-source relational database systems. It is considered to be one of the top database choices when customers migrate from commercial databases such as Oracle and Microsoft SQL Server. AWS provides two managed PostgreSQL options: Amazon RDS and Amazon Aurora. In addition to providing managed PostgreSQL services, AWS also […]

If you are an Amazon RDS and Amazon Aurora customer, you might have received emails from AWS notifying you about rotating your SSL/TLS certificates. The current SSL/TLS certificates for RDS DB instances will expire on March 5, 2020 as part of standard maintenance and security best practices for RDS. In order to avoid interruption to your applications which use SSL/TLS […]

AWS provides two managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. Both support IAM authentication for managing access to your database. You can associate database users with IAM users and roles to manage user access to all databases from a single location, which avoids issues caused by permissions being out of sync […]

In this post, I take a close look at three exciting features in PostgreSQL 11: partitioning, parallelism, and just-in-time (JIT) compilation. I explore the evolution of these features across multiple PostgreSQL versions. I also cover the benefits that PostgreSQL 11 offers, and show practical examples to point out how to adapt these features to your applications.

The first post in this series, Working with RDS and Aurora PostgreSQL Logs: Part 1, discussed the importance of PostgreSQL logs and how to tune various parameters to capture more database activity details. PostgreSQL logs provide useful information when troubleshooting database issues. This post focuses on different methods to access PostgreSQL logs. The PostgreSQL logs […]

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 complicated data workloads. AWS provides two managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. One […]

sysbench is an ideal tool for running synthetic benchmarking on MySQL compatible databases. The Amazon Aurora Performance Assessment Technical Guide helps you assess the performance of Amazon Aurora MySQL by using sysbench. However, if you want to run sysbench on MySQL-compatible databases running on RDS or Aurora via SSL/TLS, you also need to consider some […]

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 […]

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 […]