Open-source alternatives to Fleet

Aurae is a memory-safe distributed systems runtime daemon written in Rust that acts as a container and process orchestrator. It manages and schedules workloads, containers, and virtual machines across distributed infrastructure nodes using remote procedure calls and isolated kernel-level boundaries. The platform provides a mutual transport-layer security gateway that enforces cryptographic identity and socket-level authentication across distributed infrastructure. It includes enterprise workload isolation features to secure control planes and manage multi-tenant processes on host operating sy

Container data volume manager for your Dockerized application

Swarm is a container clustering system that pools multiple Docker hosts into a single virtual host, enabling transparent container scheduling and management across the cluster. It exposes the standard Docker API so existing Docker-compatible tools and clients can operate on the cluster without any modifications. The system uses a distributed key-value store to maintain cluster state, enabling consistent scheduling decisions across nodes. A Docker-API proxy layer translates standard API calls into cluster-wide operations, while a host-pool abstraction hides individual host details from the cli

Docker composition tool with idempotency features for deploying apps composed of multiple containers.

Automation framework for programmers

Karmada is a Kubernetes multi-cluster orchestrator and multi-cloud cluster manager designed to deploy and manage cloud-native applications across multiple clusters and cloud providers. It serves as a centralized control plane that functions as a resource propagator and workload scheduler, coordinating resources across public clouds, on-premises data centers, and edge locations. The project distinguishes itself through a policy-based engine that distributes applications using affinity, topology constraints, and resource quotas. It provides specific capabilities for multi-region disaster recove

Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

The Kubernetes Cluster Autoscaler is a mechanism that automatically adjusts the number of nodes in a cluster to match the resource demands of pending pods. It functions as a cloud infrastructure scaler that manages the desired capacity of scaling groups to ensure sufficient compute resources for workloads. The system manages cloud infrastructure automation by adjusting node counts when resources are insufficient or nodes are underutilized. It includes a manager for scaling groups using mixed instance policies to balance on-demand and spot instances for cost and availability. The project also

Kubernetes is a distributed container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of computing nodes. It functions as a declarative infrastructure controller, utilizing a control loop architecture that continuously monitors the current system state against user-defined configurations to ensure desired operational outcomes. The system relies on a centralized API-driven interface and a replicated key-value store to maintain a consistent source of truth for all cluster objects. The platform distinguishes itself throu

Descheduler is a Kubernetes workload rebalancer and pod eviction manager designed to optimize resource distribution and maintain cluster stability. It identifies and removes pods that no longer satisfy scheduling constraints or health requirements, allowing the cluster to relocate them to more suitable nodes. The project provides specialized capabilities for balancing node resource utilization, enforcing topology spread constraints, and removing duplicate pods to improve distribution. It also functions as an autoscaler helper by compacting workloads onto fewer nodes to facilitate the downscal

Kubernetes-native Job Queueing

Chronos is a distributed, fault-tolerant job scheduler designed for managing containerized workloads within a cluster. It functions as a task orchestrator that automates the execution of recurring background jobs and complex, multi-step workflows across distributed computing resources. The system distinguishes itself through its ability to manage directed acyclic graph dependencies, ensuring that tasks are triggered only upon the successful completion of prerequisite jobs. It utilizes a leader-follower consensus architecture to maintain high availability and state persistence, while relying o

Service Fabric is a distributed systems platform for packaging, deploying, and managing stateless and stateful distributed applications and containers at large scale.