AWS Database Blog

Category: Advanced (300)

How LeadSquared accelerated chatbot deployments with generative AI using Amazon Bedrock and Amazon Aurora PostgreSQL

LeadSquared is a new-age software as a service (SaaS) customer relationship management (CRM) platform that provides end-to-end sales, marketing, and onboarding solutions. Tailored for sectors like BFSI (banking, financial services, and insurance), healthcare, education, real estate, and more, LeadSquared provides a personalized approach for businesses of every scale. LeadSquared Service CRM goes beyond basic ticketing, […]

Provision and manage Amazon RDS for Oracle using Terraform

This the first post in a multi-part series where we discuss how you can set up Amazon Relational Database Service (Amazon RDS) for Oracle with Terraform. Terraform by HashiCorp allows you to define the instructions for setting up the infrastructure as a code, simplifying and automating the process instead of doing everything manually. Overview of […]

How Agnostic Engineering improved storage latency for running Polygon nodes on AWS

This is a guest post co-written by Arnaud Briche, the Founder of Agnostic. At Agnostic, our mission is to democratize access to well-structured blockchain data. We aim to provide a swift, user-friendly, and robust method for querying the vast volumes of data generated by smart contract blockchains. As a company, for performance reasons we first […]

A generative AI use case using Amazon RDS for SQL Server as a vector data store

Generative artificial intelligence (AI) has reached a turning point, capturing everyone’s imaginations. Integrating generative capabilities into customer-facing services and solutions has become critical. Current generative AI offerings are the culmination of a gradual evolution from machine learning and deep learning models. The leap from deep learning to generative AI is enabled by foundation models. Amazon […]

Enable fine-grained access control and observability for API operations in Amazon DynamoDB

Customers choose Amazon DynamoDB to improve their applications’ performance, scalability, and resiliency. DynamoDB’s serverless architecture simplifies operations by abstracting hardware, scaling, patches, and maintenances. Managing data access and security in DynamoDB is different than instance-based database solutions. DynamoDB uses AWS Identity and Access Management (IAM) to authenticate and authorize access to resources, whereas RBDMS solutions rely on firewalls rules, […]

Migrate a multi-TB SQL Server database to Amazon RDS Custom for SQL Server using Amazon FSx for Windows File Server

This is the second part in a two-part series on how to migrate a multi-TB database to Amazon Relational Database Services (Amazon RDS) Custom for SQL Server. RDS Custom for SQL Server is a managed database service that automates database setup, operation, backups, high availability, and scalability while providing access to both the database and […]

Binary logging optimizations in Amazon Aurora MySQL version 3

The binary log (binlog) in MySQL is used to capture database modifications on a MySQL server in a logical format known as “events”. These database modifications can include DCL statements (such as CREATE USER or GRANT), DDL statements (CREATE TABLE, ALTER TABLE) and DML statements (INSERT, UPDATE, DELETE). When such a modification is committed in […]

Enforce row-level security with the RDS Data API

As applications grow to serve more users with sensitive data, implementing robust security controls becomes critically important. One way to enhance security and meet complex access requirements is through row-level security. Row-level security allows you to limit data access at the row level based on user attributes. PostgreSQL is one of the most popular open […]

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Serverless technologies eliminate infrastructure management tasks […]

Perform maintenance tasks and schema modifications in Amazon RDS for PostgreSQL with minimal downtime using Blue Green deployment

Important Since November 22nd, 2024, Amazon RDS Blue/Green deployments for RDS for PostgreSQL minor version upgrades use physical replication slots which do not support table modifications on the green instance. This means the contents of this post won’t work with RDS for PostgreSQL minor version upgrades. The content is still accurate for RDS for PostgreSQL […]