In today’s rapidly evolving technological landscape, the need for handling multiple databases is more pressing than ever. Whether to enhance redundancy, optimize performance, test correctness of the new solution or cater to varied data storage requirements, employing multiple databases can offer significant advantages.
Many applications work with large amounts of data, often exceeding 1 million records in the database. Loading larger datasets into a database then introduce overheads to development velocity, impacting both delivery costs and speed. Here’s how to minimize these costs.
Mocking up real services is a no-brainer, no one wants tests to affect the production environment in any way. Here’s how to do that with AWS Cognito in Python.
