Simon Notley

Senior Product Manager, EDB

Simon is a Senior Product Manager at EDB and is responsible for Observability, Optimization and Deployment. This includes the observability and optimization tooling in the new EDB Postgres AI platform as well as EDB's established Postgres Enterprise Manager (PEM) and Trusted Postgres Architect (TPA) solutions. He believes that for data-driven enterprises looking to minimize risk and maximize efficiency and sustainability, having the right tooling is just as important as having the right database or the right platform.

Prior to joining EDB, Simon worked in product management and technical consultancy, mostly in the transport technology industry with a particular focus on data and databases.

Read Blogs

Technical Blog

EDB 하이브리드 컨트롤 플레인: 중앙 집중식 Postgres 관리와 자동화

Simon Notley 2025년 1월 28일 이 블로그는 시니어 제품 매니저 Simon Notley와 수석 제품 마케팅 매니저 Lizzy Nguyen이 공동 작성했습니다. EDB 하이브리드 컨트롤 플레인(Hybrid Control Plane)은 여러 환경에 분산된 Postgres를 중앙에서 관리하고 자동화할 수 있도록 지원합니다. 이 글에서는 Estate View를 통한 통합 모니터링부터 클러스터 생성, 상태 점검, 쿼리 진단, 로그 및 데이터 마이그레이션까지 주요 기능을 살펴봅니다. 하이브리드 데이터 환경을 위한 자동화와 중앙 집중식 관리 지난달 EnterpriseDB(EDB)는 EDB Postgres AI 소프트웨어 배포를 발표했습니다. 이 단일 소프트웨어 설치를 통해 자가 관리형 하이브리드 환경 또는...
Technical Blog

Get to Know EDB Postgres® AI Hybrid Manager: Centralized Management and Automation with End-to-End Observability

Authors: This blog was co-written by Simon Notley, Senior Product Manager, and Lizzy Nguyen, Principal Product Marketing Manager. Automation and single pane of glass management and observability across hybrid data estates. Last month, EnterpriseDB (EDB) announced the release of EDB Postgres® AI (EDB PG AI) Hybrid Software, a single software installation enabling you to deploy, manage, and scale...
Product Updates

Release Radar: PEM 9.0 UX/UD Improvements

EnterpriseDB release of Postgres Enterprise Manager 9.0. Combining management and monitoring in a single interface, Postgres Enterprise Manager (PEM) provides all the tools you need to keep your databases running smoothly. It continuously monitors the health of databases and servers, providing real-time graphical dashboards and automatically raising alerts when issues are detected. The integrated query profiling, performance and log analysis tools make it easy to pinpoint and fix performance bottlenecks.