Conor Branagan
Co-Founder & CTO at Niteshift
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolConor Branagan is a seasoned software leader and co-founder with 14 years of experience building high-scale, cloud-native systems and developer-facing products from the ground up. As a long-time Datadog engineer and former Director of Engineering, he scaled metrics and monitoring platforms to support billions of datapoints, led product launches like Process & Container Monitoring, and later architected Datadog's first generative AI initiative, evolving it into an autonomous SRE agent. He combines hands-on backend and DevOps expertise—demonstrated by notable open-source contributions to Datadog projects (datadog-agent, dd-trace-go) and gopsutil—with strong operational instincts for large distributed systems. Based in New York, he now leads engineering and hiring at Niteshift, bringing a pragmatic founder’s mindset to tooling and team-building. Notably, his career includes both founding-engineer grit and recent work marrying LLMs to real-world incident automation, a rare blend of infrastructure and AI productization.
14 years of coding experience
10 years of employment as a software developer
Computer Science, Computer Science at University of Wisconsin-MadisonBS, Computer Science, BS, Computer Science at SUNY New PaltzMonash University
Stackoverflow
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Github Skills (35)
system-info10
kubernetes10
docker10
tracer10
amazon-ecs10
amazon-elasticsearch10
testing10
distributed-tracing10
dockers10
apm10
elasticsearchquery10
go10
aws-elasticsearch10
sys10
kubernetes-pods10
Programming languages (13)
Github contributions (5)
DataDog/datadog-agent
May 2017 - Feb 2018
Main repository for Datadog Agent
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:39 commits, 12 PRs, 27 pushes in 8 months
Contributions summary:Conor primarily contributed to the Datadog Agent by implementing and integrating Kubernetes metadata providers. They developed code to collect Kubernetes-related metadata, including deployments, replica sets, services, pods, and containers. Furthermore, the user updated dependencies, refactored code related to service checks and serializers, and refactored the code to use a slimmer Kubernetes library. They also implemented fixes and added features for ECS and process agent integration.
golangdatadog-agentagentobservabilitypmm
shirou/gopsutil
Oct 2016 - Aug 2017
psutil for golang
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 1 comment in 9 months
Contributions summary:Conor primarily contributed to the core functionality of the `gopsutil` library, focusing on optimizing system information retrieval. Their work involved caching the boot time for performance gains, adding a function to limit the number of network connections retrieved, and optimizing the process of gathering file descriptor information. Furthermore, the user implemented platform-specific adaptations for several operating systems, including Linux, Darwin, FreeBSD, and Windows, and introduced unit tests to validate the changes.
golangpsutilsystem-informationgo
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