Toby Lawrence
Software Engineer at Datadog
Greater Boston United States
Summary
🤩
Rockstar🎓
Top SchoolToby Lawrence is a pragmatic software engineer with 13 years building reliable systems from the application layer down to hardware-adjacent concerns, currently contributing to Datadog’s Agent and the Vector observability project. He blends SRE practice and backend engineering, having led caching and hybrid cloud efforts at Wayfair and improved data pipeline reliability at edX. Toby is an active open-source contributor in Rust, authoring metrics-rs and contributing to high-profile projects like etcd and Vector to harden distributed systems and telemetry. He favors hands-on problem solving, performance tuning, and CI/CD improvements—optimizing build pipelines with tools like sccache and parallel benchmarks. Based in Greater Boston, he pairs practical production experience with a curiosity for low-level details, often driving small but impactful changes that improve observability and developer velocity.
13 years of coding experience
11 years of employment as a software developer
Associate of Science (AS), Computer Software Engineering, Associate of Science (AS), Computer Software Engineering at New England Institute of Technology
English
Github Skills (24)
github-ci10
key-value10
testing10
distributed-systems10
etcd10
cicd10
go10
rust10
githubaction-workflow10
metric10
software-design9
observability9
databases9
performance-optimization9
database9
Programming languages (18)
Github contributions (5)
metrics-rs/metrics
Mar 2019 - Jan 2023
A metrics ecosystem for Rust.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:181 reviews, 561 commits, 299 PRs in 3 years 10 months
Contributions summary:Toby appears to be contributing to the core functionality of the `metrics` crate. The commits demonstrate the user's involvement in designing and implementing foundational traits and core structures for a metrics ecosystem in Rust. Their work includes initial workspace configuration, and API changes and code cleanups to support metrics-core. Additionally, the user has provided multiple examples demonstrating the use of the functionality, with descriptions.
rusttelemetryecosystemmetricsrust-lang
vectordotdev/vector
May 2021 - Jan 2023
A high-performance observability data pipeline.
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1647 reviews, 247 commits, 377 PRs in 1 year 8 months
Contributions summary:Toby was primarily focused on improving the observability of the project by switching to upstream registry implementations for metrics, which suggests familiarity with the project's internal workings. The user also worked on improving the CI/CD pipeline by parallelizing benchmarks, and using sccache to improve compile times. Furthermore, the user removed build dependencies and improved release builds which improved project performance.
stream-processingeventspipelinerustdata-observability
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