Simon Waight 6/25/2019

Customised Serverless using Azure Functions, Docker and Kubernetes Event-Driven Autoscaler (KEDA)

Read Original

This technical article explains how to customize and deploy Azure Functions for compute-intensive, long-running tasks like video processing. It demonstrates using Docker containers to package dependencies (like FFMPEG) and deploying them on Azure or Kubernetes with the KEDA event-driven autoscaler, providing greater control over the serverless execution environment.

Customised Serverless using Azure Functions, Docker and Kubernetes Event-Driven Autoscaler (KEDA)

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week