Veerendra Nayak
Employers on the program
- 2025Amazon Web Services3 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Autonomous DBOps: Agentic AI for maintaining databases [REPEAT] as Amazon Maintaining performance for Amazon Aurora and Amazon RDS often requires manual effort, such as tuning queries, managing indexes, and handling alerts. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Geo-fencing & real-time geospatial alerts with ElastiCache Valkey as Amazon In this builders' session, you will create a high-performance, real-time, geospatial alerting pipeline using Amazon ElastiCache for Valkey. This architecture…Show lessIn this builders' session, you will create a high-performance, real-time, geospatial alerting pipeline using Amazon ElastiCache for Valkey. This architecture pattern is tailored for dynamic applications like ridesharing, logistics, and fleet management. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | builders session | Revolutionize customer care with data-driven generative AI as Amazon Imagine a world where every customer call is answered instantly, issues are resolved swiftly without any human intervention, and the entire experience feels…Show lessImagine a world where every customer call is answered instantly, issues are resolved swiftly without any human intervention, and the entire experience feels personal and seamless. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | builders session | Improve resilience of database workloads by using chaos engineering [REPEAT]Chaos engineering is the discipline of experimenting on a system to build confidence in the system’s capability to withstand abnormal conditions in production.…Show lessChaos engineering is the discipline of experimenting on a system to build confidence in the system’s capability to withstand abnormal conditions in production. Recreating real-world failure conditions helps uncover hidden bugs as well as monitoring omissions and performance bottlenecks. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Damon LaCaille | 2 | 2 | 2025 |
| Kevin McGehee | 2 | 1 | 2025 |
| Paola Lorusso | 2 | 1 | 2025 |
| Simon Komendera | 2 | 1 | 2025 |
| Vijay Karumajji | 2 | 1 | 2025 |
| Vlad Vlasceanu | 2 | 1 | 2025 |
| Aalhad Kulkarni | 2 | — | 2025 |
| Aaron Chen | 2 | — | 2025 |
| Aaron Dailey | 2 | — | 2025 |
| Aaron Sempf | 2 | — | 2025 |
| Aarthi Srinivasan | 2 | — | 2025 |
| Abbas Mooraj | 2 | — | 2025 |
| Abhishek Pandey | 2 | — | 2025 |
| Abhishek Sharma | 2 | — | 2025 |
| Abhishek Srivastav | 2 | — | 2025 |
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.