azure-functions-core-tools VS keda

The official Azure Functions CLI brings along a feature that enables developers to create a basic Dockerfile as well as .dockerignore file in an Azure Functions project. So problem solved, right?

And the func tool is opensource: https://github.com/Azure/azure-functions-core-tools

Azure Functions Core Tools GitHub

Azure Functions Core Tools: u can download from this repo

Azure Functions Core Tools (The docs specify version 3.0.3245 or later is required)

CLI tools such as hexa.run and Azure Functions CLI

We gonna use the Azure Functions Core Tools for create, start and run our functions.

It seems you want something like KEDA (https://keda.sh)

Most just utilize out of the box macro resources available in HPA.

For more advanced use cases there is keda - https://keda.sh/

Thankfully KEDA operator was already part of the cluster, and all Robin had to do was create a ScaledObject manifest targeting the Dispatch ScaleUp event, based on the rabbitmq_global_messages_received_total metric from Prometheus.

Keda

KEDA introduces event-driven scaling to Kubernetes workloads. It integrates with Kubernetes Horizontal Pod Autoscalers and can scale pods based on external metrics from services like databases and message queues (Kafka, RabbitMQ, MongoDB).

# update version 2.8.2 if required kubectl apply -f https://github.com/kedacore/keda/releases/download/v2.8.2/keda-2.8.2.yaml

This is traditionally a AWS Lambda usecase - or an OpenFaas kind of usecase. But very recently i discovered https://keda.sh/ and it seems it is specifically meant for this in a kubernetes environment.

If you deploy the application to Amazon EKS, you can also consider using KEDA to auto-scale your consumer application based on the number of messages in the MSK topic.