#Autoscaling
Showing 38 of 38 repositories tagged #autoscaling, ranked by stars
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.
Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.
Escalator is a batch or job optimized horizontal autoscaler for Kubernetes
General purpose metrics adapter for Kubernetes HPA metrics
Add-on for KEDA to scale HTTP workloads
Tortoise: Shell-Shockingly-Good Kubernetes Autoscaling
Horizontal Pod Autoscaler built with predictive abilities using statistical models
A .NET implementation of RTMP live streaming server, supporting HTTP-FLV, WebSocket-FLV, HLS, Kubernetes, cloud storage services integration and more.
Autoscaling Spring Boot with the Horizontal Pod Autoscaler and custom metrics on Kubernetes
Autoscaling volumes for Kubernetes (with the help of Prometheus)
Google Cloud Karpenter Provider
Platform In a Box!
Custom Pod Autoscaler program and base images, allows creation of Custom Pod Autoscalers
An open cloud native capacity solution which helps you achieve ultimate resource utilization in an intelligent and risk-free way.
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU, autoscaling, air-gapped, production-ready.
Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.
Magento 2 AWS autoscaling cluster with Terraform and Packer or ImageBuilder. Adobe Commerce Cloud alternative. The best ecommerce infrastructure. Drive more sales online. Transparent billing. Developer-friendly. No hidden bottlenecks.
Tool to build Docker cluster composition for Amazon EC2 Container Service(ECS)
KEDA External gRPC Scaler for GPU workloads - native NVML metrics via DaemonSet, no Prometheus required
Extensible generative AI platform on Kubernetes with OpenAI-compatible APIs.
Simple, elastic Kubernetes cluster autoscaler for AWS Auto Scaling Groups
Terraform module that implements AWS DynamoDB with support for AutoScaling
Kubernetes Operator for Cloud Spanner autoscaling
Runs, manages, and autoscales web services on Mesos and Kubernetes
A Kubernetes controller that modifies the CPU and/or memory resources of containers based on whether they're starting up, according to the startup/post-startup settings you provide.
Rightsize and Autoscale Containers Intelligently for Performance and Cost Management in Kubernetes: A SLO Autoscaler
ECS cluster with instance and service autoscaling configured and running behind an ALB with path based routing set up
Dynamically scale kubernetes resources using the length of an AMQP queue (number of messages available for retrieval from the queue) to determine the load
Google Cloud Associate Engineer repository on my journey to becoming a cloud expert. Feel free to take a look at the resources I used under the Links section.
Terraform module to setup blue / green deployments
Terraform AWS Auto Scaling Stack
Chemtrail is a client scaler for HashiCorp Nomad allowing for dynamic and safe scaling of the client workerpool based on demand.
Repository to practise Infrastructure-As-Code (IAC) with Github Actions, AWS and Terraform
Wave Autoscale (Open Source Version) - Deprecated. We have transitioned to a AI-powered version of Wave Autoscale.
Proof of concept: Install wordpress environment using ansible, packer, docker, terraform and AWS.
A Helm chart to deploy CTFd HA/Autoscaling + Redis + MariaDB + MinIO