Shang Wang
Senior Software Engineer at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolShang Wang is a Senior Software Engineer in New York with 15 years of experience building production-grade distributed systems, currently focusing on Golang, Python and Kubernetes at Datadog. He has deep expertise in observability and system-level telemetry, contributing to high-profile open-source Datadog projects to improve agent process and system data collection, cross-platform compatibility, and system-probe integration. Prior roles span low-latency and full-stack work in finance and security software (Tower Research Capital, NopSec), giving him a strong appreciation for performance, reliability, and secure design. He pairs hands-on coding with operational sensibilities—shipping bug fixes, dependency improvements, and default configurations that make complex systems easier to run. Notably, his contributions to Datadog’s chef cookbook and agent added practical system-probe features and process metrics like IO and FD counts that enhance observability in heterogeneous environments. He holds graduate training in computer science from NYU and an undergraduate CS background from Illinois Tech, tying academic rigor to production experience.
15 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at New York UniversityComputer Science, Computer Science at Illinois Institute of Technology
Github Skills (19)
configuration-management10
linux10
system-monitoring10
chef-client10
process-monitoring10
go10
datadog10
process-monitor10
chef-solo10
ebpf9
dockers9
docker9
devops9
yaml9
system-administration8
Programming languages (6)
Github contributions (5)
DataDog/datadog-agent
Nov 2017 - Aug 2021
Main repository for Datadog Agent
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:163 reviews, 220 commits, 127 PRs in 3 years 9 months
Contributions summary:Shang primarily contributed to the Datadog Agent, focusing on process and system-level data collection and monitoring. They implemented solutions for cross-platform compatibility and handled environment-specific configurations, particularly for Amazon Linux and RancherOS. The user also integrated new features like process IO and FD count metrics. Furthermore, they addressed configuration and system-probe setup issues, enhancing the agent's ability to collect process-related data.
golangdatadog-agentagentobservabilitypmm
DataDog/chef-datadog
Jun 2019 - Jun 2019
Chef cookbook for Datadog Agent & Integrations
Role in this project:DevOps Engineer
DevOps EngineerContributions:18 commits, 2 PRs, 15 pushes in 9 days
Contributions summary:Shang focused on configuring the Datadog agent within the Chef cookbook. They added system-probe functionality, including configurations for enabling, disabling, and setting up the agent. The user also integrated the system-probe recipe into the main agent configuration and addressed bug fixes, typos, and dependency issues. Furthermore, the user added default configurations and made improvements to the overall structure of the Chef cookbook.
datadog-agentcookbookagentintegrationschef-resource
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