Implementing geohashing at scale in serverless web applications

By Dustin Ward

Amazon Web Services FeedImplementing geohashing at scale in serverless web applications Many web and mobile applications use geospatial data, often used with map overlays. This results in dataset queries based upon proximity, for questions such as “How far is the nearest business?” or “How many users are nearby?” Applications with significant traffic need an efficient…

Simplifying serverless best practices with Lambda Powertools

By Dustin Ward

Amazon Web Services FeedSimplifying serverless best practices with Lambda Powertools Modern applications are increasingly relying on compute platforms based on containers and serverless technologies to provide scalability, cost efficiency, and agility. Although this shift toward more distributed architectures has unlocked many benefits, it has also introduced new complexity in how the applications are operated. In…

Software patching with AWS Systems Manager

By Dustin Ward

Amazon Web Services FeedSoftware patching with AWS Systems Manager Cloud computing adoption has been rapidly increasing with enterprises around the globe, opting for various migration patterns during their cloud journey. Taking monolithic legacy applications as-is and moving them to the cloud, is an approach also known as “lift-and-shift,” and is one of the main drivers…

Software Patch Management Using AWS Serverless CICD

By Dustin Ward

Amazon Web Services FeedSoftware Patch Management Using AWS Serverless CICD Cloud computing adoption has been rapidly increasing with enterprises around the globe opting for various migration patterns during their Cloud journey. Taking monolithic legacy applications as-is and moving them to the cloud is an approach also known as “lift-and-shift” and is one of the main…

Amazon Redshift materialized views support external tables

By Dustin Ward

Amazon Web Services FeedAmazon Redshift materialized views support external tables Amazon Redshift adds materialized view support for external tables. With this enhancement, you can create materialized views in Amazon Redshift that reference external data sources such as Amazon S3 via Spectrum, or data in Aurora or RDS PostgreSQL via federated queries.