Presented by:

Linkedin img

Krishna Sarabu

Amazon Web Services

Krishna Sarabu is a Senior Database Specialist Solutions Architect with Amazon Web Services. He works with AWS RDS team, focusing on Opensource database engines RDS PostgreSQL and Aurora PostgreSQL. He has over 20 years of experience in managing commercial & open source database solutions in financial industry. He enjoys working with customers to help design, deploy, and optimize relational database workloads on AWS.

Sundar raghavan

Sundar Raghavan

Amazon Web Services

Sundar Raghavan is a Principal Database Specialist Solutions Architect at Amazon Web Services (AWS) and specializes in relational databases. He works with customers across multiple industries who work with RDBMS such as Oracle, PostgreSQL, and migrations from Oracle to PostgreSQL on AWS. Previously, Sundar served as a database and data platform architect at Oracle, Cloudera/Horton Works. He enjoys reading, watching movies, playing chess and being outside when he is not working.

No video of the event yet, sorry!

Applications designed with even-driven architecture (EDA) provide increased availability, elasticity, scalability and cost optimization and promotes micro-services, which are small, specialized services performing a narrow set of functions. Event-driven architecture (EDA) is a software architecture paradigm promoting the production, detection, consumption of, and reaction to events. Event-driven architectures have grown in popularity because it helps to address some of the inherent challenges in building the complex systems commonly used in modern organization.

In this presentation, we will look into AWS Services and Solutions using API Gateway, S3, Amazon Event Bridge, AWS Lambda, Amazon SQS and Amazon SNS for designing event-driven Serverless application and how the Amazon RDS/Aurora PostgreSQL can help the event-driven service architecture to persistently store data.

Date:
2022 April 8 15:20 PDT
Duration:
50 min
Room:
Ballroom
Conference:
Silicon Valley 2022
Language:
Track:
AWS Data Day
Difficulty:
Medium