Inside Rplus CloudIQ: One pane of glass for every GPU your business runs
Inside Rplus CloudIQ: One pane of glass for every GPU your business runs
Category: Product Spotlight
Tags: Multi-cloud, GPU FinOps, Medallion architecture, AI infrastructure, Observability, PRJ8500
Author: Rplus Analytics — Editorial, Cloud & AI Infrastructure
Date: 14 Jul 2025
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Standfirst
A walkthrough of the UK-built multi-cloud observability and FinOps platform giving enterprises real-time visibility, normalised cost analytics, and medallion-architecture pipelines across AWS, Azure, GCP, Oracle Cloud and on-premise — without the spreadsheets.
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Article body
Most enterprises running serious AI workloads in 2026 are not running them in one place. They have an AWS estate doing inference, an Azure footprint where the data already lives, a GCP corner the data scientists prefer for training, an Oracle commitment from a procurement cycle three years ago, and an on-premise GPU cluster the platform team built before "GenAI" was a budget line. None of these talks to the others.
The result is a quiet, expensive chaos. Workloads sit underutilised for six hours and nobody notices. A render farm spins at 12% on £48-an-hour A100s. A model training job hits 95% memory and silently throttles. Finance asks why the multi-cloud bill is up 30%, and the only honest answer is we'll get back to you.
Rplus CloudIQ exists because that answer isn't good enough — not when GPUs are the most expensive line item in the IT budget and the most strategic asset in the business. This article is a walk through what CloudIQ does, how it's built, and what it changes for the teams who run on it.
"You cannot optimise what you cannot see. And you cannot see across five clouds with five different consoles."
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One pane. Every provider. Every metric that matters.
CloudIQ is not another monitoring tool bolted onto your existing stack. It's a purpose-built multi-cloud GPU intelligence platform that ingests telemetry from every provider you run, normalises it into a single semantic layer, and serves it back as the dashboard your team actually opens at 9 a.m.
The headline view answers the questions executives keep asking and engineers keep dodging: How many GPUs do we have? What are they doing? What are they costing? And which ones are wasting money right now?
At a glance:
- 152 GPU instances under management
- 5 cloud providers
- 14.9 TB data processed (rolling 24h) PRJ8500
- £2,380 MTD spend — 16.7% under forecast DSA
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Provider parity, not provider preference
CloudIQ treats AWS, Azure, GCP, Oracle Cloud and on-premise as first-class equals. Each provider gets the same telemetry surface, the same metrics, the same colour-coded health badges. There is no "premium for the partner cloud" treatment. The provider strip tells you in one line whether each estate is Active or Standby, what region it's running in, instance counts, utilisation, month-to-date cost, and the metric most platforms quietly skip — cost per terabyte processed.
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Capability — Cost-per-TB normalisation The most honest number on the dashboard. AWS at £23/TB, Azure £21/TB, GCP £22/TB, Oracle £20/TB, on-premise £11/TB — a 50% saving once you account for amortised hardware. CloudIQ surfaces this comparison automatically, so workload placement decisions stop being political and start being mathematical.
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Real-time GPU utilisation, normalised across vendors
Every cloud reports GPU metrics differently. AWS gives you CloudWatch. Azure gives you Monitor. GCP gives you Cloud Monitoring. Oracle gives you OCI Monitoring. On-prem gives you whatever Prometheus exporter your SRE team had time to configure last quarter. CloudIQ ingests all of them and renders a single time-series chart with one line per provider, refreshed in near-real-time.
That sounds simple. It is not simple. It is the kind of unglamorous integration work that makes a platform actually useful.
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A medallion pipeline, FinOps-native by design
CloudIQ runs on a medallion data architecture — Bronze for raw ingestion, Silver for cleaned and refined records, Gold for business-ready data exposed to the dashboard and downstream consumers. This isn't architecture-theatre. It is the same pattern Rplus has deployed inside DWP, HMRC, and other UK public sector estates where data lineage isn't optional.
The Gold layer — 847,102 business-ready records, sync rate 12.4K/sec, last refresh two minutes ago — is what powers every chart you see. Delta sharing is active, which means downstream BI tools (Power BI, Tableau, internal Looker estates) consume the same single source of truth without re-pipelining the data themselves.
"FinOps is not a Power BI dashboard you build once a quarter. It's a feedback loop that runs every minute. CloudIQ is built that way from the schema up."
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Cost analytics that compound, not just report
The cost analytics module isn't a static spend report. It compares current month-to-date against forecast in real time and tells you, on the dashboard, when you're tracking under or over. In practice: £2,380 spent against a £2,856 forecast — 16.7% under. That's a number a CFO will quote in a board meeting. CloudIQ surfaces it without anyone having to build a deck.
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Per-instance intelligence and alerting that fires
Aggregate dashboards are useful for the boardroom. They are not enough for the SRE pager rotation. CloudIQ drills down into per-instance telemetry — every GPU instance across every provider, with utilisation, memory, status, region and hourly cost in a single sortable view.
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Capability — Closed-loop alerting CloudIQ's alert engine doesn't just notify. It classifies severity (critical · warning · info), attributes events to the right cloud and instance, and integrates with Slack, Teams, PagerDuty and existing ITSM stacks via webhook. "Underutilised for 6 hours" becomes a candidate for right-sizing. "Memory above 95%" becomes a paging event. Maintenance windows become calendar entries.
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Built for the team that has stopped trusting screenshots
CloudIQ is built for three people, in roughly this order.
The CTO or Head of Platform who wants a single number she can quote in the next board meeting — utilisation, spend, forecast variance — without three engineers spending two days assembling it. CloudIQ gives her the number, with the lineage to defend it.
The FinOps lead who has been asked to "just sort out the cloud bill" and discovered that the cloud bill is in fact five bills with five billing models in three currencies. CloudIQ gives him cost-per-TB normalisation, forecast tracking, and the per-provider breakdown that lets him have a real conversation with each procurement team.
The platform engineer who is tired of switching tabs. CloudIQ gives her the per-instance view, the alert routing, and the API to pull the same Gold-layer data into her own automation.
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UK-built. Public-sector-grade. Privately deployable.
Rplus Analytics has been doing data and AI work in the UK since 2012, including inside DWP, HMRC and Home Office estates where data sovereignty, audit, and security review aren't marketing checkboxes — they are the baseline. CloudIQ inherits that lineage. It can be deployed inside a customer's own VPC, peered into existing data lakes, and operated entirely within UK boundaries. Your GPU telemetry never has to leave your tenancy.
That matters in 2026 in a way it didn't in 2022. AI workloads are increasingly subject to procurement, regulatory and audit scrutiny that off-the-shelf US-hosted SaaS dashboards struggle to satisfy. CloudIQ is designed to satisfy them.
"We built CloudIQ the way we'd want to consume it ourselves — sovereign, auditable, FinOps-native, and honest about cost. The dashboard you trust is the dashboard you can defend."
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See your GPU fleet the way CloudIQ sees it
The dashboard you've just walked through is live. Explore the sandbox environment populated with the multi-cloud telemetry described above.
Launch CloudIQ → https://rpluscloudiq.co.uk/
Talk to the team → https://rplusanalytics.com/contact
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About Rplus Analytics
Rplus Analytics is a UK-based data and AI consultancy established in 2012, with a track record across UK central government — including DWP, HMRC and Home Office — and enterprise clients. CloudIQ is its multi-cloud GPU observability and FinOps product, built for organisations running AI workloads at scale.