Andreas Gerstmayr
Senior Software Engineer, Distributed Tracing at Red Hat
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolAndreas Gerstmayr is a Senior Software Engineer with 18 years of experience, currently focusing on distributed tracing at Red Hat from Vienna. He blends deep systems and backend expertise—particularly with eBPF/BPF tooling, PCP integration, and performance monitoring—with practical front-end work on data visualizations like D3 flame graphs. His open-source contributions span high-impact projects such as bpftrace, BCC, and Netflix’s Vector, where he improved tracing, heatmap visualizations, and cross-kernel compatibility. Comfortable across the stack, he has modernized build tooling and shipping workflows (Webpack replacing Gulp) and driven reliability fixes in low-level networking and kernel-interfacing code. He pairs academic grounding in software and computer engineering with a pragmatic focus on observability, performance, and usability for large-scale systems.
18 years of coding experience
10 years of employment as a software developer
University of SevilleVienna University of TechnologyMatura, EDV und Organisation, Matura, EDV und Organisation at HTL Leonding
German, English, Spanish
Github Skills (59)
udp10
javascript10
c-language10
visualization10
coffeescript10
python10
ebpf10
testing10
net10
user-interface10
packet10
c-programming10
linux-kernel10
graphical-user-interface10
networking10
Programming languages (22)
Github contributions (5)
performancecopilot/pcp
Mar 2018 - Nov 2022
Performance Co-Pilot
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:64 reviews, 687 commits, 207 PRs in 4 years 9 months
Contributions summary:Andreas primarily focused on developing the bcc PMDA modules, which involved integrating and extending the Performance Co-Pilot (PCP) framework with various Berkeley Packet Filter (BPF) tools. Their contributions included implementing new metrics, adding support for different networking protocols (TCP, UDP), file systems (ext4, xfs, zfs), and process-specific network statistics. The user also implemented features like authentication via Unix sockets and managed the integration with different aspects of the PCP ecosystem.
analysisperformancegraphmetricsmonitoring
spiermar/d3-flame-graph
Jul 2018 - Sep 2021
A D3.js plugin that produces flame graphs from hierarchical data.
Role in this project:Front-end Developer
Front-end DeveloperContributions:11 commits, 7 PRs, 13 comments in 3 years 3 months
Contributions summary:Andreas primarily focused on enhancing the front-end of the D3.js flame graph visualization. Their commits addressed issues related to calculating the SVG size dynamically after filtering, ensuring accurate rendering. They also updated dependencies, integrated a custom tooltip, and improved the base template by making the color scheme and context information customizable, significantly improving the user experience and functionality of the visualization. Furthermore, the user replaced Gulp with Webpack for build processes and added a standalone template, indicating an emphasis on modernizing the project's development workflow.
d3jschartjs-pluginhierarchicalhierarchical-datad3-js
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