Deploy real projects from GitHub or your AI coding agent, then keep them running with AI-powered operations.
- kubernetes
- kubernetes-ha
- ipvs
- kubeadm
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Deploy real projects from GitHub or your AI coding agent, then keep them running with AI-powered operations.
Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
The most popular Kubernetes Operator for PostgreSQL.
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
Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
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.
The One CD for All {applications, platforms, operations}
Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.
A cloud native Kubernetes Global Balancer
A Kubernetes operator for declarative database schema management (gitops for database schemas)
Apache Camel K is a lightweight integration platform, born on Kubernetes, with serverless superpowers
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.
An eBPF Manager for Linux and Kubernetes
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.
Compute the diff between two JSON documents as a series of JSON Patch (RFC6902) operations
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.
minimalistic terminal UI for everyday Docker operations
Automating distributed Gatling load testing using Kubernetes operator
Provision and bind IBM Cloud services to your Kubernetes cluster in a Kubernetes-native way
OpenEverest Operator