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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KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
The most popular Kubernetes Operator for PostgreSQL.
Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
StackGres Operator, Full Stack PostgreSQL on Kubernetes // !! Mirror repository of https://gitlab.com/ongresinc/stackgres, only accept Merge Requests there.
Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.
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.