Azure Functions running on Kubernetes using Keda

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • python-function-servicebus-keda

    A simple sample using Python functions and autoscaling with Keda.

  • I will drop here my sample on github. In this tutorial, I will show you how simple is create a Azure Function using Python ❤️ and deploy it on AKS. I also will show a pipeline that will deploy this functions automatically to your AKS.

  • azure-functions-core-tools

    Command line tools for Azure Functions

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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • samples

    Place for community to contribute samples (by kedacore)

  • Pretty nice, huh? This is just one example of many other you can try out using Keda. You can check more examples on Keda's github Sample's repository

  • keda

    KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

  • Keda is a Event Driven Autoscaler based on Kubernetes. Was developed by Microsoft and Red Hat and now it's a Cloud Native Computing Foundation (CNCF) sandbox project. With Keda you can simply scale you application of any container in Kubernetes based on the number of events. This means you can create any application that is Event-Drive and get it up when something arrives and get it down when it's nothing there. This makes the cost of your application lower when running in a Cloud provider as AWS, Azure or GCP. You can use Keda for scale based in a queue on Rabbit, Azure ServiceBus, Kafka. Using CPU usage, as a Cron, on MongoDB queries and many more

  • hub-feedback

    Feedback and bug reports for the Docker Hub

  • Install Docker and a DockerHub account is essential.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Ask HN: What's the right way to scale K8s for GPU workloads?

    1 project | news.ycombinator.com | 7 Apr 2024
  • Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling

    4 projects | news.ycombinator.com | 21 Mar 2024
  • K8s latencies in chained services - Using RL?

    1 project | /r/kubernetes | 6 Dec 2023
  • KEDA

    1 project | /r/bmrk | 24 Sep 2023
  • KEDA in Amazon EKS Part 2: Scale Based On AWS SQS Queue

    1 project | dev.to | 1 Jul 2023