Category: Amazon Aurora

In this post, we explore how to use Amazon Aurora PostgreSQL and Amazon Bedrock to build Federal Risk and Authorization Management Program (FedRAMP) compliant generative artificial intelligence (AI) applications using Retrieval Augmented Generation (RAG).

In Part 1 of this series, we demonstrated how to configure interval partitioning in an Amazon Aurora PostgreSQL-Compatible Edition database using PostgreSQL extensions such as pg_partman and pg_cron. The monitoring job was external to the database, thereby allowing a centralized monitoring solution. In this post, we demonstrate how you can monitor and send alerts using […]

In this post, we show you how to set up bi-directional replication between an on-premises MySQL instance and an Aurora MySQL instance. We cover how to configure and set up bi-directional replication and address important operational concepts such as monitoring, troubleshooting, and high availability. In certain use cases, native bi-directional binary log replication can either provide a simpler fallback plan for your migration or provide a way to migrate applications or schemas individually, rather than all at the same time.

Prashant Singh, Chief Operating Officer at LeadSquared, joins Pravin Mittal, Director of Engineering of Amazon Aurora, for a discussion on using generative artificial intelligence (AI) to scale their omnichannel customer service application while controlling costs. LeadSquared helps customers build truly connected, empowered, and self-reliant sales and service organizations, with the power of automation. This Executive […]

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, […]

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 […]

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 […]

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 […]

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 […]

Because organizations store a large amount of their data in relational databases, there is a clear impetus to augment these datasets using generative artificial intelligence (AI) foundation models to elevate end-user experiences. In this post, we explore how to integrate Amazon Aurora MySQL-Compatible Edition with a generative AI model using Amazon Aurora Machine Learning. We walk […]