“Metaflow does not intend to be a workflow orchestrator.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Savin Goyal
Disclosure
Netflix's machine learning infrastructure team consists of six engineers
“My team has six engineers right now.”
Savin GoyalFeb 17, 2021▶ 2:28Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
AssertionNot checkable as stated
Netflix uses S3, Spark, Presto, and Snowflake for data querying
“We use SG as so like the storage layer for our data warehouse, and we use Spark, Presto, Snowflake as our query engines.”
Savin GoyalFeb 17, 2021▶ 3:23Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
AssertionNot checkable as stated
Netflix uses open-source Titus for container orchestration
“In terms of compute our container orchestration platform is called Titus, which is yet another open source project.”
Savin GoyalFeb 17, 2021▶ 3:55Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
AssertionNot checkable as stated
Netflix drives ETL and ML pipelines using internal scheduler Meson
“We have a workflow scheduler called Mason. Mason, which is a program scheduler that's being used to drive all of our ETL as well as machine learning pipelines.”
Savin GoyalFeb 17, 2021▶ 4:29Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
Disclosure
Netflix data scientists are free to choose their own tools
“Netflix has this really interesting corporate culture of freedom and responsibility. Which means that our data science teams, they are essentially free to use whatever tooling that works best for them.”
Savin GoyalFeb 17, 2021▶ 19:51Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
AssertionNot checkable as stated
Most Metaflow users adopt it to avoid building ML infra teams
“A big majority of our users are essentially companies who have made serious investments in machine learning. But for one reason or the other, they don't want to invest too much into machine learning infrastructure per se.”
Savin GoyalFeb 17, 2021▶ 22:37Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
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