Simon Komendera
Employers on the program
- 2025Amazon Web Services2 talks
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 | Create an intelligent banking agent using Aurora DSQL & MCP as Amazon Web Services Model Context Protocol (MCP) enables AI agents to communicate with data systems to retrieve data and perform tasks. | |
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | chalk talk | Demystifying Aurora DSQL transactions and concurrency control as Amazon Web Services Join this session to learn about Amazon Aurora DSQL's optimistic concurrency control (OCC). Explore building an application to understand the impact of OCC on…Show lessJoin this session to learn about Amazon Aurora DSQL's optimistic concurrency control (OCC). Explore building an application to understand the impact of OCC on your relational workloads, how it differs from traditional databases, and how to achieve the desired semantics in DSQL's OCC model. | |
| Nov 27, 2023 | AWS re:Invent 2023 | AWS re:Invent | chalk talk | Improve performance & availability with Amazon RDS Multi-AZ DB clustersIn this chalk talk, learn about the latest performance improvements to Amazon RDS Multi-AZ with two readable standby deployment options, also known as Amazon…Show lessIn this chalk talk, learn about the latest performance improvements to Amazon RDS Multi-AZ with two readable standby deployment options, also known as Amazon RDS Multi-AZ DB clusters. Multi-AZ DB clusters offer up to 2x improved write latency, failover times typically under 35 seconds, and additional read capacity. | |
| 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 |
|---|---|---|---|
| Aditya Samant | 2 | 1 | 2025 |
| Jim Mlodgenski | 2 | 1 | 2025 |
| Veerendra Nayak | 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 |
| Achal Kumar | 2 | — | 2025 |
| Adam Driver | 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.