Evan Chan
where else to find them
no profile links on file
what they talk about
all 8 in the filters
where they keep going back
- Scale By the Bay6 editions2017–2023
all 4 in the filters
on a stage with
all 8 in the filters
who talks about the same things
- Aaron Stannard12 talks
- Colin Breck5 talks
- Luca Palmieri7 talks
- Massimiliano Mantione12 talks
- Harrison Harnisch4 talks
- Carl Lerche7 talks
| title | conference | date |
|---|---|---|
| Lessons Learned: Porting a Streaming Data Pipeline from Scala to Rust. | Scale By the Bay 2023 | 2023-11-13 |
Conviva ports a mission‑critical streaming pipeline (handling ~5 trillion events/day) from Scala/Akka to Rust and reports concrete wins: a prototype using… | ||
| Location Based Data Engineering for Good with PySpark:Graphs | Scale By the Bay 2021 | 2021-10-28 |
Pipeline shows how PySpark plus Kedro reads cloud-stored pings, sessionizes by device, coalesces adjacent points with window functions, and infers trips using… | ||
| Allocating Less: Really Thin Rust Cloud Apps | Cloud Native Rust Day EU 2021 | 2021-05-03 |
Shows concrete memory wins and tools: heap-profiles with dhat, JSON comparisons that cut peak heap by ~30% using json-rust, and a repo with benchmarks… | ||
| Allocating Less: Really Thin Rust Cloud Apps | RustLab 2021 | 2021-03-18 |
Argues that lowering allocations is key for tiny cloud units and gives concrete tactics: measure with Dhat to find hotspots (example: Serde JSON value… | ||
| Allocating Less: Really Thin Rust Cloud Apps | RustLab 2021 | 2021-03-18 |
Rust can cut allocations to make tiny cloud units: a Vec is three 8-byte fields (24 bytes), a slice is 16 bytes, and a HashMap entry can cost up to ~72 bytes… | ||
| Panel: Programming Languages in the Era of the Cloud | Scale By the Bay 2020 | 2020-11-12 |
Panel argues cloud choices hinge on concrete tradeoffs: Go wins for fast startup and tiny static binaries and cross-compilation; Rust wins for memory control… | ||
| Rust and Scala, Sitting in a Tree…. | Scale By The Bay 2019 | 2019-11-13 |
A Scala in-memory time-series DB stores 100 billion data points and ingests 1M samples/sec but hits ~20s GC pauses; moving off-heap was painful. Rust’s… | ||
| FiloDB: Real-time, In-Memory Time Series at Massive SMACK Scale | Scale By The Bay 2018 | 2018-11-15 |
FiloDB is an open-source, in-memory time-series database built on Scala, Akka, Kafka, Cassandra and Mesos that targets high-cardinality monitoring and… | ||
| Building a High-Performance Database with Scala, Akka, and Spark | Scale By the Bay 2017 | 2017-11-16 |
FiloDB is a production-ready columnar analytics DB built with Scala, Akka Cluster, Spark and Monix that ingests high-volume streams and serves low-latency… | ||
| Evan Chan Interview | Scale By the Bay 2017 | 2017-11-16 |
Built FiloDB and Spark Job Server, and describes a columnar real‑time distributed query engine using Storm, Spark, Kafka, Cassandra and Scala/Akka. Scaling… | ||
| Akka in Production: Our Story | Pacific Northwest Scala 2013 | 2013-10-27 |
Company processes 2.5 billion events a day and details a path from early Akka experiments to a simple, reliable pipeline that reads from Kafka, stages with… | ||
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