Rajesh Matkar
Employers on the program
- 2019–2022Amazon Web Services3 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Building global applications with Amazon Aurora as AWS In this chalk talk, learn how to build and deploy critical workloads with a global footprint using Amazon Aurora Serverless v2 and Amazon Aurora Global…Show lessIn this chalk talk, learn how to build and deploy critical workloads with a global footprint using Amazon Aurora Serverless v2 and Amazon Aurora Global Database. Use this design pattern to build new applications or migrate existing ones running on relational database engines while achieving high availability, scalability, elasticity, and cost optimization. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | workshop | [REPEAT 1] Accelerating application development with Amazon Aurora as Amazon Web Services In this session, learn how to leverage the unique features of the Amazon Aurora platform to build faster, more scalable database applications optimized for the…Show lessIn this session, learn how to leverage the unique features of the Amazon Aurora platform to build faster, more scalable database applications optimized for the cloud. We discuss architectural best practices and features designed to help increase agility so you can develop applications faster to reach the widest possible audience, such as Amazon Aurora Serverless, read-replica auto scaling,... | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | chalk talk | Planning proof of concept with Amazon Aurora as Amazon Web Services For relational-database workloads, customers are increasingly adopting Amazon Aurora to take advantage of Aurora's performance, high availability, durability,…Show lessFor relational-database workloads, customers are increasingly adopting Amazon Aurora to take advantage of Aurora's performance, high availability, durability, manageability, and innovations. The proof of concept (PoC) is the main process and decision-making step to evaluate and adopt Aurora. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Vlad Vlasceanu | 2 | 1 | 2022 |
| Aaron Friedman | 2 | — | 2022 |
| Aaron Khoo | 2 | — | 2022 |
| Aaron Rallo | 2 | — | 2022 |
| Aashmeet Kalra | 2 | — | 2022 |
| Adam Wagner | 2 | — | 2022 |
| Aditya Bindal | 2 | — | 2022 |
| Aditya Krishnan | 2 | — | 2022 |
| Ahmed Omran | 2 | — | 2022 |
| Ajit Rajdeosingh | 2 | — | 2022 |
| Akash Jain | 2 | — | 2022 |
| Alan Halachmi | 2 | — | 2022 |
| Alex Bestavros | 2 | — | 2022 |
| Alex Burkleaux | 2 | — | 2022 |
| Alex DeBrie | 2 | — | 2022 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.