KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
- kubernetes
- serverless
- autoscaling
- event-driven
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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.
- aws
- autoscaling-groups
- aws-lambda
- spot-instances
A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.
- docker
- containers
- batch
- user
Tools and Documentation about using Auto Scaling
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 sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
A community AWS SDK for Perl Programmers
- perl
- aws
- sdk
- aws-sdk
Easily dockerize your Git repository