Amazon CloudWatch – A service that provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health.To build such a solution, you need to be familiar with the following AWS services: Although we focus on Aurora PostgreSQL you can use the same solution with Amazon RDS for PostgreSQL. With this solution, we can create and consume files in Amazon S3 from Aurora PostgreSQL using native PL/pgSQL calls, similar to the Oracle UTL_FILE utility. In this post, we cover the steps to integrate Amazon Simple Storage Service (Amazon S3) and Aurora PostgreSQL and create PL/pgSQL wrapper functions to interact with the files. In contrast, Aurora PostgreSQL is a managed database offering, so it’s not possible to access files on the database server via SQL commands or utilities. These features are often used in database code because of the simple PL/SQL interface and versatile usage. Oracle database provides features and utilities like UTL_FILE and EXTERNAL tables to interact with files on the operating system. For more information about the migration process, see Database Migration-What Do You Need to Know Before You Start? and the following posts on best practices, including the migration process and infrastructure considerations, source database considerations, and target database considerations for the PostgreSQL environment. An Oracle to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL migration into the AWS Cloud can be a multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage.
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