Micah Wylde
Hello! Welcome to my website. I am a software engineer based in
Berkeley, CA. I work primarily on data systems, with a particular focus
on low-latency systems. I currently work at Cloudflare, where I am tech
lead for the
Data Platform. Previously, I co-founded Arroyo,
which was acquired by Cloudflare.
Earlier in my career, I led streaming teams at Splunk and Lyft, built data platform at Sift, and worked on real-time systems at Quantcast.
I can be found elsewhere on the web @mwylde, github.com/mwylde, linkedin.com/in/wylde, and
via email at micah@micahw.com.
Selected Writings
- Announcing the Cloudflare Data Platform ⸺
Cloudflare.com, 2025
- Fast columnar JSON decoding with arrow-rs ⸺
Arroyo.dev, 2025
- How to build a plugin system in Rust ⸺
Arroyo.dev, 2024
- We built a new SQL Engine on Arrow and DataFusion ⸺
Arroyo.dev, 2024
- What is stateful stream processing? ⸺
Arroyo.dev, 2024
- What is streaming SQL? ⸺
Arroyo.dev, 2023
- Rust is the best language for data infra ⸺
Arroyo.dev, 2023
- Why Not Flink? ⸺
Arroyo.dev, 2023
- Reliable Workflow Processing at Scale ⸺
Sift.com, 2017
- The struggle for safety: effectiveness of caterpillar defenses against bird predation ⸺
Oikos, 2014
- Scalable Utility Aware Scheduling Heuristics for Real-time Tasks with Stochastic Non-preemptive Execution Intervals ⸺
23rd Euromicro Conference on Real-Time Systems, 2011
Talks
- Latency, Throughput & Fault Tolerance: Designing the Arroyo Streaming Engine ⸺
P99Conf, 2024
- Why Streaming SQL? The Semantics and Challenges of Applying SQL to Unbounded Data ⸺
Data Council Austin, 2024
- Exactly-once Stream Processing with Arroyo and Kafka ⸺
Kafka Summit London, 2024
- How Lyft Built a Streaming Platform with Flink on Kubernetes ⸺
Flink Forward SF, 2020
- How Lyft Built a Streaming Data Platform on Kubernetes ⸺
Strata San Jose, 2020
- Running Flink and Beam on Kubernetes ⸺
ApacheCon North America, 2019
- Stream Processing at Lyft ⸺
Scale By The Bay, 2018
- Reliable Machine Learning on HBase ⸺
Applied Machine Learning @ Scale Meetup, 2017
- Highly-Available HBase ⸺
HBaseCon, 2017
- API-driven development at Sift Science ⸺
San Francisco API Craft Meetup, 2014