Who needs this
- Data platform SREs and infrastructure engineers
- Owners of Spark/Flink/airflow-on-K8s style footprints
- FinOps partners allocating cost to data products
Industry · Data platform engineering
Data platforms run heavy batch and stream workloads on Kubernetes—often many clusters per region. FusioNative shows capacity, namespace consumption, and fleet health so data infra teams scale before pipelines queue.
Capacity and multi-cluster stacks for data platforms
Plan headroom and operate multi-cluster data stacks with the same control plane as the rest of engineering.
Product screens with notes on when each view matters for your sector.
Forecasts and headroom—plan nodes before Black Friday-scale batch jobs.
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CPU and memory by namespace—identify the job blowing the pool.
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Cluster-level gauges for CPU, memory, pods, and nodes—ops snapshot for data sites.
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