AWS Database Blog
Author: Felipe Gregolewitsch
Replication instance sizing for optimal database migrations with AWS DMS
In this post, I show you how to use the new AWS DMS instance estimator tool for initial sizing recommendations, review monitoring strategies to collect accurate benchmark data, and present considerations on how to optimize your database migrations.
Troubleshoot and minimize AWS DMS replication latency with Amazon S3 as a target
Building data sources on Amazon Simple Storage Service (Amazon S3) can provide substantial benefits for analysis pipelines because it allows you to access multiple large data sources, optimize the curation of new ingestion pipelines, build artificial intelligence (AI) and machine learning (ML) models, providing customised experiences for customers and consumers alike. In this post, we […]
Understand and optimize replication for Amazon Redshift with AWS DMS
In this post, we deep dive into using AWS Database Migration Service (AWS DMS) to load data to Amazon Redshift and discuss how to optimize data loading. In a world where data is always growing and larger datasets need to be processed, it’s important to use the right tool for the right job. Amazon Redshift […]