Jennie Pham is a software engineer with nine years of experience building reliable backend systems and improving observability for high-volume services. Based in Austin, she currently contributes to Grafana Labs where she focuses on backend metrics and monitoring, including meaningful improvements to the widely used Grafana Tempo distributed tracing backend. Her background spans startups and enterprise environments—from Subspace to TigerConnect—bringing strengths in testing, QA, and production readiness. Jennie combines a formal grounding in chemistry and computer science with hands-on work in Prometheus metrics and backend refactors, a mix that surfaces in pragmatic, data-driven approaches to system reliability.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (B.A.), Chemistry, Bachelor of Arts (B.A.), Chemistry at The University of Texas at Austin
Computer Science, Computer Science at Austin Community College
Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
Role in this project:
Back-end Developer
Contributions:194 reviews, 7 commits, 173 PRs in 2 months
Contributions summary:Jennie contributed to the Grafana Tempo project by implementing and refining backend metrics. This included adding and refactoring functionalities related to blocklist backend metrics. The work involved modifying existing code to return a specific struct, changing variable types, and updating prometheus metrics related to backend objects and bytes. This user's efforts focused on improving the monitoring and observability of the Tempo backend.
Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
Contributions:2 PRs, 331 pushes, 47 branches in 1 year 7 months
tracingtempovolumebackendgrafana
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