Autoscaling volumes for Kubernetes (with the help of Prometheus)

Automatically assign Elastic IPs to AWS EC2 Auto Scaling Group instances

Simple, elastic Kubernetes cluster autoscaler for AWS Auto Scaling Groups

Libraries, samples, and tools to help AWS customers onboard with custom resource auto scaling.

A framework that runs on AWS Lambda for autoscaling ECS clusters and services

Solution Accelerators for Serverless Spark on GCP, the industry's first auto-scaling and serverless Spark as a service

Autoscaling for Clouds

Django web application deployed to AWS via Cloudformation templates, with an infrastructure as code approach following the AWS architecture best practices. The application is a sample blog-like website which can be used as a personal portfolio.

This service is an automatic scaler for Liara's cloud infrastructure and does not require anything to run. It provides the ability to automatically check the app scale every few seconds and zoom in or out.

A Framework For Intelligence Farming

Spoptimize: Replace AWS AutoScaling instances with spot instances

A python project to scale the redis resources on Heroku platform

Some of the code used to set up an auto-scaling infrastructure on Amazon AWS

An auto-scaling solution for Amazon DocumentDB.

The autoscaling simulation toolbox provides tools to experiment with policies for multilayered autoscaling (inc. VM clusters and applications). Multiverse simulator is the core of the toolbox. Using it, one can evaluate autoscaling policies under different conditions, including various applications, platforms, and workloads.

Kubernetes with kubespray in Centos 7 using HAPROXY to loadbalancer Kubernetes_API,http and http traffic ports using Traefik ingress.

☁️ 🚀 Example Auto Scaling Fargate Cluster Created on AWS using CloudFormation

Built a Distributed Platform that is capable of managing & deploying tensor-flow models on it. The platform was built using micro-service based architecture with features like auto-scaling, scheduling, centralized logging, monitoring, notification, high-availability and fault tolerance.

Latency based Kubernetes autoscaler.

AutoScaling with Docker