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AWS AI and Data Conference 2025 – Achieving Scale with Amazon Aurora PostgreSQL Limitless Database

AWS Events

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YouTube
  • Recommended by 1 person: 1 in engineering communities.
  • Presented by Venkatesh Periyathambi and Varvara Murphy, AWS
  • Made by the vendor. The company whose product it covers made or sponsored it.

Intermediate. Assumes working knowledge.

347 views1 year ago1 recommendation

Databases and dataCloud and DevOpsPostgresAWSScaling and large-scale architecture

Venkatesh Periyathambi and Varvara Murphy explain the architecture, distributed transaction management, and serverless scaling capabilities of Aurora PostgreSQL Limitless Database.

In this session, learn how Amazon Aurora PostgreSQL Limitless Database enables applications to scale to millions of transactions per second across petabytes of data. Explore the architecture, distributed transaction management, and serverless scaling capabilities of Aurora PostgreSQL Limitless Database. We will also look at the different flavours of Aurora and help you understand what workloads are best supported by each flavour. Speakers: Venkatesh Periyathambi, Principal Data Solutions Architect, AWS Varvara Murphy, Senior Data Solutions Architect, AWS Learn more about AWS events: go.aws/events Subscribe: More AWS videos: bit.ly/2O3zS75 More AWS events videos: bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. #AWSEvents #AWS #Databases #PostgreSQL #Scalability #Cloud

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What people say. Recommended as one of the top PostgreSQL conference talks of 2025.

u/TechTalksWeeklyin r/PostgreSQL • Recommends

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