~/talk

Rustem Feyzkhanov Interview

on YouTube 03m
Talkat Scale By the Bay 2017 · 2017-11-16..11-18· [machine-learning, serverless]

speakers

name:Rustem Feyzkhanov
links:none on file
name:Alexy Khrabrov
links:none on file

resources

video:https://youtu.be/ptcRsPmis-E
slides:none on file

summary

Describes porting real ML stacks — TensorFlow/Keras/Sklearn on AWS Lambda — using the lambda-packs repo, and why packaging native binaries and cold-start limits still block easy deployment. Explains measurable wins: lower cost and better horizontal scaling for bursty workloads, but persistent pain points: Lambda size/runtime limits, cold-start latency, and lack of a single control plane across data centers and clouds. Argues traditional servers remain useful for steady-state tasks.

AI-written summary · about

chapters (5)

  1. 0:00Start
  2. 0:19What are some engineering issues you deal with?
  3. 0:47What are some scaling issues you deal with?
  4. 1:18What interesting scalability issues do you see in the future?
  5. 2:37Interview Series

related talks

~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.