Armada

Open SourceFunded

Multi-cluster Kubernetes batch job meta-scheduler for massive workloads

About Armada

Armada is an open-source multi-Kubernetes cluster batch job meta-scheduler designed to manage and distribute millions of batch jobs daily across tens of thousands of nodes spanning multiple clusters. It addresses Kubernetes' inherent limitations in scaling batch workloads by enabling multi-cluster orchestration, high-throughput queueing, and advanced batch scheduling features such as fair queuing, gang scheduling, and intelligent preemption. Armada leverages external storage backends like PostgreSQL and Redis to overcome Kubernetes' in-cluster storage bottlenecks, making it suitable for high-throughput computational workloads.

Armada is ideal for enterprises requiring robust batch processing capabilities across distributed Kubernetes environments, including industries like high-performance computing, machine learning training, scientific computing, financial modeling, and large-scale data processing pipelines. Its enterprise-grade reliability, secure authentication, high availability, and detailed monitoring make it production-ready for organizations managing complex, large-scale batch workloads. Armada is actively maintained as a CNCF Sandbox project and is proven in production at organizations such as G-Research.

Key Capabilities

✓Multi-cluster batch job orchestration
✓High-throughput job queueing with external storage
✓Advanced batch scheduling features
✓Enterprise-grade high availability and security
✓Comprehensive monitoring with Prometheus integration

Integrations

KubernetesPostgreSQLRedis

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .