AWS Database Blog

Category: Intermediate (200)

How Apollo Tyres built their tyre genealogy solution using Amazon Neptune and Amazon Bedrock

This is a joint post co-authored with Shailender Gupta, Global Head of Data Engineering, Reporting and Analytics at Apollo Tyres Apollo Tyres, headquartered in Gurgaon, India, is a prominent global tyre manufacturer with production facilities in India and Europe. The company has a widespread presence, selling tyres to consumers and industrial customers across over 100 […]

Connect to an Amazon RDS or Amazon Aurora instance using a federated user with AWS IAM Identity Center and IAM database authentication

In this post, we share the steps to connect to an Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition instance using a federated user with IAM Identity Center and IAM database authentication.To enhance security and streamline access, you can connect to your RDS or Aurora instances using federated users with AWS IAM Identity Center and AWS Identity and Access Management (IAM) database authentication. This integration allows you to manage database access through IAM Identity Center, providing secure, centralized authentication.

How Samsung Cloud optimized Amazon DynamoDB costs

Samsung Cloud is a cloud-based service that provides services such as backup/restore and synchronization, sharing, and device authentication of user data for all Samsung devices, including Galaxy smartphones around the world. This blog post introduces five approaches Samsung Cloud has taken to continuously lower the total cost of ownership (TCO) for Amazon DynamoDB since migrating from Apache Cassandra to DynamoDB in 2015.

How Amazon stores deliver trustworthy shopping and seller experiences using Amazon Neptune

Nearly three decades ago, Amazon set out to be Earth’s most customer-centric company, where people can discover and purchase the widest possible selection of safe and authentic goods. When a customer makes a purchase in our store, they trust they will receive an authentic product, whether the item is sold by Amazon Retail or by one […]

Faster development with Amazon DynamoDB and Amazon Q Developer

Amazon Q Developer, a generative artificial intelligence (AI) assistant, can help accelerate the development of applications on AWS. In this post, we create a DynamoDB table using IaC then perform create, read, update, and delete (CRUD) operations on the table using Python and Boto3 (with additional observations for JavaScript and Java at the end of the post). We demonstrate how Amazon Q can improve your speed of development for these tasks.

Performing a minor version upgrade for Amazon RDS Custom for SQL Server CEV with Multi-AZ

In this post, we explain how to perform a database minor version upgrade (patch) with Multi-AZ on CEV instance, where RDS Custom performs rolling upgrades, so you have an outage only for failover period and the time needed for post-upgrade scripts until the instance is fully operational.

Schedule jobs in Amazon RDS or Amazon Aurora PostgreSQL using pg_tle and pg_dbms_job

Customers migrating Oracle databases to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL might encounter the challenge of scheduling jobs that require precise sub-minute scheduling to avoid workflow disruptions and maintain business operations. In this post, we demonstrate how you can use Trusted Language Extensions (TLEs) for PostgreSQL to install and use pg_dbms_job on Amazon Aurora and Amazon RDS. pg_dbms_jobs allows you to manage scheduled sub-minute jobs.

Optimizing costs on Amazon DocumentDB using event-driven architecture and the AWS EventBridge Terraform module

A primary reason companies move their workloads to AWS is because of cost. With AWS, cloud migration and application modernization plans are based on your business needs and not agreements or licensing. You can acquire technology on an as-needed basis, only paying for the resources you use. You can build modern, scalable applications on AWS […]