AWS Big Data Blog
Author: Anand Komandooru
Anand is a Principal Solutions Architect on the Well-Architected Solutions Innovation team at AWS, with over 20 years of experience building software and helping customers design and deliver cloud-native and AI applications. Outside of work, he writes about AI architecture patterns on AWS Builder Center and enjoys time with family, music, cooking, and nature.
Implement a full stack serverless search application using AWS Amplify, Amazon Cognito, Amazon API Gateway, AWS Lambda, and Amazon OpenSearch Serverless
Designing a full stack search application requires addressing numerous challenges to provide a smooth and effective user experience. This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. Amazon OpenSearch Serverless […]
Automate the archive and purge data process for Amazon RDS for PostgreSQL using pg_partman, Amazon S3, and AWS Glue
The post Archive and Purge Data for Amazon RDS for PostgreSQL and Amazon Aurora with PostgreSQL Compatibility using pg_partman and Amazon S3 proposes data archival as a critical part of data management and shows how to efficiently use PostgreSQL’s native range partition to partition current (hot) data with pg_partman and archive historical (cold) data in […]