Serverless Image Process

Azure Functions

Traitement d'images automatique (resize/convert) via Azure Functions.

ClientProjet Lab

RoleDéveloppeur Cloud

Year2024

StackMicrosoft Azure, Python, Blob Storage, Functions

THE CHALLENGE

Optimiser les coûts d'exécution et gérer efficacement les temps de cold start des fonctions.

__init__.py

import logging
import azure.functions as func
from PIL import Image
import io
 
def main(myblob: func.InputStream, outputblob: func.Out[bytes]):
    logging.info(f"Processing blob: {myblob.name}")
 
    # Load image
    img = Image.open(io.BytesIO(myblob.read()))
 
    # Resize to thumbnail
    img.thumbnail((300, 300))
 
    # Convert to bytes
    output = io.BytesIO()
    img.save(output, format='JPEG', quality=85)
 
    # Write to output blob
    outputblob.set(output.getvalue())

Explore More

1	`import logging`
2	`import azure.functions as func`
3	`from PIL import Image`
4	`import io`
5
6	`def main(myblob: func.InputStream, outputblob: func.Out[bytes]):`
7	`logging.info(f"Processing blob: {myblob.name}")`
8
9	`# Load image`
10	`img = Image.open(io.BytesIO(myblob.read()))`
11
12	`# Resize to thumbnail`
13	`img.thumbnail((300, 300))`
14
15	`# Convert to bytes`
16	`output = io.BytesIO()`
17	`img.save(output, format='JPEG', quality=85)`
18
19	`# Write to output blob`
20	`outputblob.set(output.getvalue())`

Serverless Image Process

Azure Functions

THE CHALLENGE

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