Chris Mague - Customer Engineer

Chris Mague

Customer Engineer - Data Management

San Francisco, California, United States

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Summary

👤

Senior

🎓

Top School

Chris Mague is a seasoned Customer Engineer specializing in data management with 15 years of experience building scalable, production-ready systems for customers. Currently at Google and formerly a Principal Field Engineer at Redis, he combines deep operational engineering chops with practical automation and architecture experience from running his own consultancy. He has a proven track record scaling cloud platforms and PaaS—driving availability from 90% to 99.5% and growing deployments tenfold—while keeping systems manageable by small teams. An active back-end contributor to the Datadog integrations community, he has hands-on experience integrating Redis Enterprise metrics and handling complex cluster and licensing edge cases. Based in San Francisco, he pairs a pragmatic focus on long-term maintainability with a background in chemistry, bringing analytical rigor to systems design.

15 years of coding experience

17 years of employment as a software developer

Bachelor of Science, Chemistry, Bachelor of Science, Chemistry at University of San Francisco

English, Japanese

Github Skills (12)

datadog10

monitoring10

apim10

api10

python10

redis10

api-design9

restful-api9

http-request9

rest-api9

error-handling9

api-rest9

Programming languages (15)

JavaC++CRustGoHTMLJupyter NotebookHCL

Github contributions (5)

DataDog/integrations-extras

Mar 2021 - Feb 2022

Community developed integrations and plugins for the Datadog Agent.

Role in this project:

Back-end Developer

Contributions:23 reviews, 217 commits, 6 PRs in 11 months

Contributions summary:Chris contributed to the development of a Datadog integration for the Redis Enterprise product. Their work involved writing Python code to collect metrics, handle API interactions, and integrate with Datadog's platform. They addressed issues like handling cluster follower nodes, managing event duplication, and adding Active/Active metric collection to the integration. Furthermore, they updated the integration to address cases when there were no databases and worked on fixing license checks.

datadog

shokunin/puppet-collectd-reimann

Jan 2015 - Nov 2015

Contributions:40 commits, 1 PR, 34 pushes in 10 months

testingalertsperformance-metricsperformanceprometheus

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