Celene Chang
Senior Software Engineer at Datadog
United States
Summary
🤩
Rockstar🎓
Top SchoolCelene Chang is a Senior Software Engineer with 12 years of experience building and hardening backend and DevOps tooling at Datadog, where she has focused on Kubernetes, container integrations, and reliable metrics collection. Combining a strong quantitative curiosity with deep domain knowledge from a PhD in neuroscience and an MPhil in computational biology, she excels at translating complex system behaviors into measurable, testable metrics. Her open-source contributions to high-profile Datadog repos improved Kubernetes volume and pod tagging, container capacity metrics, and stability around leader election and cluster agent configuration. Colleagues rely on her big-picture perspective to identify root causes and drive pragmatic refactors and test-suite improvements that reduce flakiness in production telemetry.
12 years of coding experience
MPhil, Computational Biology, MPhil, Computational Biology at University of CambridgeDoctor of Philosophy (PhD), Neuroscience, Biological Sciences in Public Health, Doctor of Philosophy (PhD), Neuroscience, Biological Sciences in Public Health at Harvard UniversityCertificate, Institute for Data Sciences and Engineering, Data Science, Certificate, Institute for Data Sciences and Engineering, Data Science at Columbia University in the City of New YorkAB, Ecology & Evolutionary Biology, with Honors, AB, Ecology & Evolutionary Biology, with Honors at Princeton University
Spanish, Korean
Github Skills (22)
kubernetes10
docker10
python10
integrations10
dockers10
containerd10
go10
kubernetes-pods10
testing9
metric9
prometheus9
logging8
cadvisor8
observability8
monitoring8
Programming languages (10)
Github contributions (5)
DataDog/datadog-agent
Nov 2019 - Apr 2022
Main repository for Datadog Agent
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:1 release, 67 reviews, 171 commits in 2 years 5 months
Contributions summary:Celene made significant contributions to the Datadog Agent, focusing on infrastructure and backend improvements. They implemented metrics collection for open file descriptors, enhancing container monitoring capabilities. The user also addressed issues related to leader election and cluster agent configurations, further improving the agent's stability and reliability. They also contributed to the Docker and containerd integrations.
golangdatadog-agentagentobservabilitypmm
DataDog/integrations-core
Nov 2019 - Mar 2022
Core integrations of the Datadog Agent
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:65 reviews, 48 commits, 53 PRs in 2 years 4 months
Contributions summary:Celene primarily focused on enhancing the Datadog Agent's integrations with Kubernetes, specifically improving volume metrics and adding pod tagging capabilities. They introduced new metrics and improved existing ones related to container capacity within the Kubernetes environment. Furthermore, the user contributed to the underlying code, adding new features and addressing related issues in the Kubernetes integration, including enhancements to the test suite. The user also worked on refactoring, and bug fixes related to the metrics collection.
datadog-agentagentintegrationsmonitoringdatadog
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