AWS Database Blog

Harish Shenoy

Author: Harish Shenoy

Harish Shenoy is a Senior Technical Account Manager for AWS Enterprise Support. He has been working with various Database technologies for more than 9 years. He is a great advocate of automation and has designed and Implemented multiple Database automation tools in his career. He works with Enterprise customers to design, implement and support complex cloud infrastructures. He is a sports enthusiast who enjoys playing Cricket, Ping Pong, Badminton and Tennis . He spends his free time with his wife and a daughter traveling and exploring different places.

Automate database object deployments in Amazon Aurora using AWS CodePipeline

In this post, we show you how to use CodePipeline to streamline your Aurora database deployments. We dive into a detailed architecture and steps for using CodePipeline in conjunction with AWS CodeBuild and AWS Secrets Manager. By the end of this post, you’ll have a clear understanding of how to set up a robust, automated pipeline for your database changes, allowing you to focus on what really matters—delivering value to your customers through innovative features and optimized performance.

Cost-effective disaster recovery for Amazon Aurora databases using AWS Backup

You may have stringent regulatory compliance obligations that require an effective multi-Region disaster recovery (DR) plan to mitigate a Region-wide disaster. AWS offers multiple methods to meet these needs, taking into consideration different factors such as recovery time objective (RTO), recovery point objective (RPO), and costs. In this post, I focus on how to keep […]

Effectively migrating LOB data to Amazon S3 from Amazon RDS for Oracle with AWS DMS

In this post, I walk through an effective way to migrate and continuously replicate tables with LOB columns from Amazon RDS for Oracle to Amazon S3 using AWS Database Migration Service (AWS DMS). This service helps you migrate on-premises databases to AWS quickly and securely. In this post, we explore its heterogeneous replication feature.