SeaweedFS is a distributed storage system for object storage (S3), file systems, Iceberg table buckets, and Lance vector buckets, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
Repository Index
47,133 repositories indexed
1–12 of 12 · Most stars
Vitess is a database clustering system for horizontal scaling of MySQL.
The official go implementation of the Canopy Network protocol
- auto-scaling-architecture
- mesh-security-provider
- permissionless-interoperability
- layerless-blockchain-creator
Proxy based Redis cluster solution supporting pipeline and scaling dynamically
Content aware image resize library
- seam-carving
- image-processing
- image-resize
- edge-detection
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
Dedicated Game Server Hosting and Scaling for Multiplayer Games on Kubernetes
- dedicated-gameservers
- kubernetes
- game-development
- multiplayer
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
The type-safe, event-driven workflow orchestration library that scales with your business. Build robust, distributed workflows in Go with compile-time safety, automatic retries, and horizontal scaling out of the box. Integrate with your existing tech stack using adapters 🚀
- eventdrivenarchitecture
- golang
- kafka
- reflex
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.
Terminal UI for setting monitor resolution and scaling on Hyprland, with scaling recommendations by resolution. Detects displays via hyprctl or wlr-randr. Go and Bubble Tea.
Zero-config, auto-scaling worker pool for Go with priority-aware scheduling, adaptive resource management, and per-task retry logic.
- async
- auto-scaling
- backpressure
- concurrency