Martin Mao
SVP, GM Of Observability at Chronosphere
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMartin Mao is a seasoned observability and distributed systems leader with over a decade of experience building large-scale metric platforms and time-series storage. As Co-Founder and CEO of Chronosphere (now part of Palo Alto Networks) and current SVP/GM of Observability, he blends product vision with deep engineering expertise to deliver cost-efficient, reliable telemetry at scale. His hands-on background includes leading the open-source M3 project at Uber and contributing core M3TS encoding optimizations for high-performance time-series storage. Martin’s career spans senior engineering roles across hyperscalers like AWS and Microsoft, underpinned by a software engineering degree from UNSW and a knack for turning low-level performance work into commercially viable observability products. Notably, he bridges startup grit and enterprise leadership, often surfacing subtle storage and disk-optimization wins that materially lower operating costs.
10 years of coding experience
11 years of employment as a software developer
UNSW Sydney
English, Chinese, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
timeseries-database10
compression10
tsd10
go10
performance-optimization10
aggregator10
metric10
compress10
unit-testing9
Programming languages (2)
Github contributions (5)
m3db/m3
Aug 2016 - Jul 2019
M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
Role in this project:
Backend Developer
Backend DeveloperContributions:6 reviews, 35 commits, 29 PRs in 2 years 11 months
Contributions summary:Martin primarily contributed to the development of the M3TS encoding scheme, a critical component for time-series data storage and retrieval within the M3 platform. Their work involved implementing the encoding logic, adding comprehensive unit tests, and refactoring existing code for improved efficiency and maintainability. Furthermore, the user addressed several bugs and optimized the M3TS implementation to enhance its performance. They also made improvements in disk usage optimization and incorporated other performance enhancements.
distributedquerymonorepoquery-enginesidecar
uber-go/tally
Aug 2016 - May 2019
A Go metrics interface with fast buffered metrics and third party reporters
Contributions:1 PR, 9 pushes, 1 branch in 2 years 9 months
golangthird-partycounterpartygo-metrics
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