Join PingCAP and AWS for an informative, hands-on virtual workshop
Time: May 15, 10 AM – 1 PM PT
Location: AWS Santa Clara Office
Address: 3075 Olcott Street, Santa Clara, CA 95054
Lunch will be provided. We’ll also have some free cool swag on hand!
Modern data-intensive applications, such as microservices, require an equally modern tech stack that can process ever-growing hybrid data workloads at scale without provisioning or managing servers.
Join PingCAP and AWS for a virtual workshop where you will learn about AWS Lambda, TiDB, and how to connect both technologies to build scalable, highly-available microservices while generating real-time insights into large volumes of operational data.
Attendees will explore the capabilities and benefits of developing a modern tech stack with scalable transactional data and – as a bonus – exhibit the ability to analyze that same data in real time.
During the event, we’ll briefly discuss AWS Lambda and TiDB, and then demo an application that showcases TiDB and AWS Lambda connectivity. Attendees will be given instructions and guidance on how to reproduce the demo application in their own environment.
Who should attend:
Application developers, architects, and DBAs
What you will learn:
- How AWS Lambda enables developers to run code without provisioning or managing servers.
- How to connect TiDB and AWS Lambda to create a modern tech stack for data-intensive microservices.
- What problems TiDB solves as a backend for microservice applications.
- How TiDB’s design specifically helps with new paradigms of online applications.
Speakers:
Ayan Ray
Senior Partner Solutions Architect – Data & Analytics, AWS
Ayan Ray specializes in architecting well-architected solutions with AWS Services and AWS partner products. He has deep expertise in architecting solutions in the field of Data Analytics, Serverless, and Microservices.
Sam Dillard
Principal Product Manager, PingCAP
Sam Dillard is an experienced Product Manager in both the OLTP and OLAP database spaces, with a specialty in distributed systems and data engineering.