Category: Amazon Aurora

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.

July 2023: This post was reviewed for accuracy. 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 […]

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 complicated data workloads. AWS provides two managed PostgreSQL options: Amazon […]

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 […]

June 2023: For Aurora databases where IO is greater than 25% of your costs, check out this blog post and recent announcement to see if you can save money with Aurora I/O-Optimized. Cost reduction is one of the biggest drivers for many IT departments to explore migration of on-premises workloads to the cloud. This post […]

January 2024: This post was reviewed and updated for accuracy. Storing user names and passwords directly in applications is not a best practice. Saving credentials as plaintext should never occur in a secure application. As a solution, AWS Identity and Access Management (IAM) policies can assign permissions that determine who is allowed to manage Amazon […]

January 2024: This post was reviewed and updated for accuracy. PostgreSQL is one of the most popular open-source relational database systems. The product of 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. PostgreSQL is considered […]

Important Update: On 06/16/2021 AWS Key Management Service (AWS KMS) introduced multi-Region keys, a new capability that lets you replicate keys from one AWS Region into another. With multi-Region keys, you can more easily move encrypted data between Regions without having to decrypt and re-encrypt with different keys in each Region. Multi-Region keys are supported […]