Image Processing Service: From On-Premise To Cloud Function With Golang
summary
Image processing moves from a monolithic Python app to small Go functions behind an API Gateway, writing standardized files to Google Cloud Storage and serving through CloudFlare CDN; system handles 200 million requests total, ~360k new images/day and ~90 GB/day growth. Uploads respond 99% under one second and reads are typically under ~600 ms. Problems solved: single-server storage limits and outages; outcome: auto-scaling Cloud Functions, fast cached reads, and simpler image resizing pipeline.
AI-written summary · about
chapters (8)
- 0:00Start
- 1:08OVERVIEW
- 3:30CHALLENGE
- 4:51ST VERSION - PROBLEMS
- 5:49RD VERSION - 2018
- 6:18RD VERSION - PROBLEMS
- 6:46TH VERSION - 2019
- 8:22THE FUTURE
related talks
02h 47mBuilding a Photo Sharing Service with Google Cloud Serverless Tech
43mGoogle Cloud's new serverless features
46mHighly Scalable Image Storage with AWS Serverless
40mWhat's new in Google Cloud serverless
49mGet silly with serverless
50mDeveloping Highly Scalable Image Storage Solution with AWS Serverless
35mIt’s Easy to Say Serverless
43mWhat's new in Google Cloud Serverless
