Observability & Monitoring
RCS — our own monitoring platform, purpose-built for AI infrastructure. You watch your own GPUs, fabric and storage through the same pane of glass our engineers do.
Eight source categories, one platform
| Source | Metrics |
|---|---|
| GPU | Health, utilisation, power, thermals |
| CPU / Server | CPU, memory, disk, operating system |
| Storage | Capacity, performance |
| Network | Bandwidth, latency, error rates |
| InfiniBand | Link health, throughput |
| RoCEv2 / RDMA | Performance, congestion |
| Security devices | Logs, threats, sessions |
| Facilities | Power, cooling, environmental |
Collect to visualise, five steps
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01
Collect
Securely collect data from every system and device.
-
02
Ingest & store
High-performance metric and log storage.
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03
Process & correlate
Normalise, correlate and enrich data into insight.
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04
Alert & notify
Intelligent alerting with escalation and multi-channel notification.
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05
Visualise
Dashboards, reports and analytics.
Capabilities and outputs
| Capability | What it means |
|---|---|
| Unified visibility | One platform across every layer |
| Real-time insight | Fast, accurate, actionable |
| Reliable & scalable | High performance and resilience |
| Multi-tenant ready | Secure access and isolation |
| Dashboards | Real-time and historical views |
| Alerts & notifications | Multi-channel, with escalation |
| Reports & analytics | SLA reporting, trends, custom reports |
| API & data access | RESTful API and data export |
| Role-based access | Multi-tenant, fine-grained control |
The rest of the lifecycle
Managed Operations
Capacity nobody hands over and walks away from. Local L1 and L2 engineers run it round the clock, on a contractual SLA with structured incident and RMA processes.
ComputeAI Compute
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