Open source, cloud native, Postgres platform with copy-on-write branching and scale-to-zero
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Updated
Jul 29, 2026 - Go
Open source, cloud native, Postgres platform with copy-on-write branching and scale-to-zero
Kubernetes-native scale-to-zero with zero traffic loss, no code changes, and direct integration with kubernetes resources
KEDA External gRPC Scaler for GPU workloads - native NVML metrics via DaemonSet, no Prometheus required
CNPG plugin to manage scale to zero functionality
Multi-tenant AI assistant platform on Amazon EKS. One-command deploy, scale-to-zero per user, powered by Amazon Bedrock.
A scale to zero Minecraft server running on Fly.io
Scale-to-zero NAT instances for AWS
Kubernetes-native control plane for scale-to-zero serving of long-tail LLMs
Scale idle apps to zero and wake them up when they receive traffic
Scale-to-zero with wake-on-request for Kubernetes. Sleep idle services on a schedule, wake them instantly on HTTP access. Single pod, no CRDs, no sidecars.
Wake-on-request and scale-to-zero for HashiCorp Nomad services—Rust proxy for Traefik, Consul, and Redis that cuts idle cost without breaking long-running requests
Multi-tenant Kubernetes operator for self-hosted GitHub Actions runners. Scale-to-zero workers, per-tenant egress IP pools, and GPU priority scheduling across a shared ResourceQuota — an Actions Runner Controller (ARC) alternative.
On-demand TCP+UDP proxy for Docker containers.
A fully automated, scale-to-zero AWS ECS Fargate platform — wake-on-demand via API Gateway + Lambda, auto-sleep via EventBridge, Terraform IaC, and GitHub Actions OIDC CI/CD. Zero idle cost. Clean, modern, conference-ready architecture.
Scale-to-zero GPU inference on Kubernetes with KEDA pod autoscaling and Cluster Autoscaler node provisioning
Queue-driven, scale-from-zero GPU inference for any Kubernetes — bursts to cross-region VMs when GPUs run dry
Distributed, cloud-native Roaring Bitmaps — query and intersect billion-scale integer sets over tiered cloud storage (RAM → NoSQL → object store), at a fraction of an always-on cache.
Serverless-GPU LLM serving: scale-to-zero with fast GPU snapshot/restore (cuda-checkpoint), multi-tenant packing, and an OpenAI-compatible API — built on vLLM.
Multi-tenant AI assistant platform on Amazon EKS. One-command deploy, scale-to-zero per user, powered by Amazon Bedrock.
Side-by-side comparison of Kubernetes 1.36 native HPA scale-to-zero (HPAScaleToZero) vs KEDA 2.16, running on two independent kind clusters. Includes cluster lifecycle scripts, guided demo walkthroughs, latency benchmark, and Grafana dashboards. Fully self-contained — no AWS or cloud credentials required.
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