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
Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
The most popular Kubernetes Operator for PostgreSQL.
A Kubernetes controller and tool for one-way encrypted Secrets
Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
A Chaos Engineering Platform for Kubernetes.
External Secrets Operator reads information from a third-party service like AWS Secrets Manager and automatically injects the values as Kubernetes Secrets.
Apache Kafka® running on Kubernetes
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)
Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
Cost-efficient and pluggable Infrastructure components for GenAI inference
Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
KubeBlocks is a Kubernetes Operator designed to manage a variety of databases and streaming systems, including MySQL, PostgreSQL, MongoDB, Redis, RabbitMQ, RocketMQ, and more, within Kubernetes environments.
StackGres Operator, Full Stack PostgreSQL on Kubernetes // !! Mirror repository of https://gitlab.com/ongresinc/stackgres, only accept Merge Requests there.
Kubernetes-native IoT gateway
Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.
An extensible framework for application-level data management on Kubernetes, Kanister is a Cloud Native Computing Foundation sandbox project and was originally created by the Veeam Kasten team.
Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the installer, and the local dev environment.
Percona Operator for PostgreSQL
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.
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Zero-code K8s sidecar for log sanitization. Detects secrets via Entropy Analysis, preserves JSON integrity, and redacts PII deterministically. 🛡️
Run performance tests in Kubernetes cluster with Kangal