Tag: Matheus Guimaraes

Zero-ETL integrations help unify your data across applications and data sources for holistic insights and breaking data silos. They provide a fully managed, no-code, near real-time solution for making petabytes of transactional data available in Amazon Redshift within seconds of data being written into Amazon Relational Database Service (Amazon RDS) for MySQL. This eliminates the need to create your own ETL jobs simplifying data ingestion, reducing your operational overhead and potentially lowering your overall data processing costs. Last year, we announced the general availability of zero-ETL integration with Amazon Redshift for Amazon Aurora MySQL-Compatible Edition as well as the availability in preview of Aurora PostgreSQL-Compatible Edition, Amazon DynamoDB, and RDS for MySQL. I am happy to announce that Amazon RDS…

Summer is reaching its peak for some of us around the globe, and many are heading out to their favorite holiday destinations to enjoy some time off. I just came back from holidays myself and I couldn’t help thinking about the key role that artificial intelligence (AI) plays in our modern world to help us scale the operation of simple things like traveling. Passport and identity verifications were quick, and thanks to the new airport security system rolling out across the world, so were my bag checks. I watched my backpack with a smile as it rolled along the security check belt with my computer, tablet, and portable game consoles all nicely tucked inside without any fuss. If it wasn’t…

Sometimes I hear from tech leads that they would like to improve visibility and governance over their generative artificial intelligence applications. How do you monitor and govern the usage and generation of data to address issues regarding security, resilience, privacy, and accuracy or to validate against best practices of responsible AI, among other things? Beyond simply taking these into account during the implementation phase, how do you maintain long-term observability and carry out compliance checks throughout the software’s lifecycle? Today, we are launching an update to the AWS Audit Manager generative AI best practice framework on AWS Audit Manager. This framework simplifies evidence collection and enables you to continually audit and monitor the compliance posture of your generative AI workloads…

The vast majority of applications don’t run run the CPU flat-out at 100% utilization continuously. Take a web application, for instance. It typically fluctuates between periods of high and low demand, but hardly ever uses a server’s compute at full capacity. CPU utilization for many common workloads that customers run in the AWS Cloud today. (source: AWS Documentation) One easy and cost-effective way to run such workloads is to use the Amazon EC2 M7i-flex instances which we introduced last August. These are lower-priced variants of the Amazon EC2 M7i instances offering the same next-generation specs for general purpose compute for the most popular sizes with the added benefit of giving you better price/performance if you don’t need full compute power…