Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Firefly - Deploying functions made easy
Search
Anand Chitipothu
July 10, 2017
Programming
0
780
Firefly - Deploying functions made easy
Lightning talk given at EuroPython 2017
Anand Chitipothu
July 10, 2017
Tweet
Share
More Decks by Anand Chitipothu
See All by Anand Chitipothu
Machine Learning as a Service
anandology
0
190
DevOps for Data Science
anandology
0
89
Managing Machine Learning Models in Production - Strata Singapore 2017
anandology
0
700
Real World Challenges in Deploying Machine Learning Applications
anandology
0
410
Deploying ML apps in minutes
anandology
1
460
Recreational Programming
anandology
4
520
Managing Machine Learning Models in Production
anandology
1
600
Distributed Machine Learning - Challenges & Opportunities
anandology
0
280
Writing Beautiful Code - EuroPython 2017
anandology
3
1.4k
Other Decks in Programming
See All in Programming
学習を成果に繋げるための個人開発の考え方 〜 「学習のための個人開発」のすすめ / personal project for leaning
panda_program
1
110
令和最新版手のひらコンピュータ
koba789
14
8k
大規模FlutterプロジェクトのCI実行時間を約8割削減した話
teamlab
PRO
0
490
ワープロって実は計算機で
pepepper
2
1.4k
パスタの技術
yusukebe
1
400
サーバーサイドのビルド時間87倍高速化
plaidtech
PRO
0
480
あなたとJIT, 今すぐアセンブ ル
sisshiki1969
1
720
AIコーディングAgentとの向き合い方
eycjur
0
220
Terraform やるなら公式スタイルガイドを読もう 〜重要項目 10選〜
hiyanger
13
3.2k
Infer入門
riru
4
1.6k
Microsoft Orleans, Daprのアクターモデルを使い効率的に開発、デプロイを行うためのSekibanの試行錯誤 / Sekiban: Exploring Efficient Development and Deployment with Microsoft Orleans and Dapr Actor Models
tomohisa
0
210
AIレビュアーをスケールさせるには / Scaling AI Reviewers
technuma
2
230
Featured
See All Featured
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
8
480
Designing for humans not robots
tammielis
253
25k
Faster Mobile Websites
deanohume
309
31k
Making the Leap to Tech Lead
cromwellryan
134
9.5k
Large-scale JavaScript Application Architecture
addyosmani
512
110k
Into the Great Unknown - MozCon
thekraken
40
2k
Designing Experiences People Love
moore
142
24k
Making Projects Easy
brettharned
117
6.3k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
10
1k
Agile that works and the tools we love
rasmusluckow
329
21k
GitHub's CSS Performance
jonrohan
1031
460k
Stop Working from a Prison Cell
hatefulcrawdad
271
21k
Transcript
Firefly Deploying functions made easy!
Who is speaking? Anand Chitipothu @anandology • building a data
science platform at @rorodata • advanced programming courses at @pipalacademy
The problem How to expose a function as an API
for others to use?
Why? • To use it in a different environment •
Loose coupling
Use cases • Deploy a machine learning model • preprocess
an image • live price check
Challenges • Requires writing a web application • What about
authentication? • How to do data validation? • How I need write a client library too?
Welcome to Firefly Deploying functions made easy!
Code Write your function: # sq.py def square(n): return n*n
Run Start web service: $ firefly sq.square [INFO] Starting gunicorn
19.7.1 [INFO] Listening at: http://127.0.0.1:8000 ...
Use And use it with a client. >>> from firefly.client
import Client >>> client = Client("http://127.0.0.1:8000") >>> client.square(n=4) 16
Behind the scenes, it is a RESTful API. $ curl
-d '{"n": 4}' http://127.0.0.1:8000/square 16 And supports any JSON-friendly datatype.
More practical example Deploying a machine learning model. # model.py
import pickle model = pickle.load('model.pkl') def predict(features): result = model.predict(features]) return int(result[0])
Run the server using: $ firefly model.predict ... And use
it in the client: >>> remote_model = Client("http://localhost:8080/") >>> remote_model.predict(features=[5.9, 3, 5.1, 1.8])) 2
Authentication Firefly has built-in support for autentication. $ firefly --token
abcd1234 sq.square ... The client must pass the same token to autenticate it. >>> client = Client("http://127.0.0.1:8000", auth_token="abcd1234") >>> client.square(n=4) 16
Upcoming Features... • supporting other input and output content-types in
addition to json. (for example, a function to resize an image) • validation using type annotations • caching support
It's open source! https://github.com/rorodata/firefly To install: pip install firefly-python
Questions? • https://firefly-python.readthedocs.io/ • https://github.com/rorodata/firefly