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

No top articles yet