You don’t have a cloud problem. You have a visibility problem.

Most organisations think their challenge is cloud.

It isn’t. It’s visibility.

Data now sits everywhere, on premises, across multiple cloud providers, and increasingly within containerised environments. Each platform brings its own tools, dashboards and way of working.

On paper, everything is “covered”.

In reality, nothing is connected – and you lose control.

You can’t clearly see:

• What’s driving cost 
• Where performance issues are building 
• How applications and infrastructure interact 
• Where operational and compliance risk is increasing 

And if you can’t see it, you can’t control it.

This isn’t a marginal issue. Industry research suggests that up to 29% of cloud spend is wasted¹,  often due to a lack of visibility and control.

The hidden cost of fragmented visibility

Research shows most organisations rely on multiple observability tools, often without integration².

Fragmented visibility isn’t just a technical inconvenience it’s a commercial problem.

Most organisations are operating with:

• Overprovisioned resources because no one trusts the data enough to reduce them. 
• Rising cloud costs without a clear understanding of why. 
• Reactive operations, fixing issues after impact rather than preventing them. 
• Tool creep, where multiple platforms overlap but fail to provide a single source of truth. 

The result is simple: teams spend more time interpreting data than acting on it.

As data continues to grow driven by AI, analytics and digital services this inefficiency compounds.

You don’t just get complexity. You get cost, risk and reduced performance at scale.

Why more tools don’t solve the problem

The default response is to add more tools, more monitoring, more dashboards, more reporting.

It feels like progress. It isn’t.

The issue isn’t a lack of tools. It’s a lack of integration and consistency.

Most hybrid environments have evolved over time:

• Legacy infrastructure sits alongside cloud platforms 
• Different teams deploy different tooling 
• Observability is layered on top, not designed in 

Instead of a single operating model, you get multiple partial views of the same problem.

That’s why organisations still struggle to answer basic questions:

• What is this workload actually costing? 
• What depends on what? 
• Where is the real bottleneck? 

Without that clarity, optimisation becomes guesswork.

What actually works

You don’t need another dashboard.

You need a single, consistent way to see, run and improve your data across every environment.

That means moving from fragmented tooling to a unified operating model built on three core capabilities:

• A single source of truth, a real-time, joined-up view of performance, cost and risk across your entire estate.
• A consistent data platform, standardised data management across on-premises and multi-cloud environments.
• Integrated operations, continuous monitoring, optimisation and alignment with business priorities.

When these work together, visibility, control and optimisation become part of a single system, not separate tasks.

From reactive to proactive operations

When visibility is built into the model and not bolted on, your entire operating posture changes.

Instead of reacting, you prevent. Instead of estimating cost, you understand it. Instead of managing complexity, you reduce it.

In practical terms:

• Costs become controllable: identify waste and optimise based on real usage
• Performance becomes predictable: detect issues before they impact services
• Operations become simpler: reduce tool sprawl and duplication
• Decisions become informed: act on a complete, real-time view of your environment

This is where organisations see the real shift, not just in technology, but in confidence and control.

How CGI and NetApp deliver this in practice

This is where CGI and NetApp come together.

NetApp provides the technology foundation. CGI ensures it delivers value in the real world.

Together, we provide:

• Real-time visibility with NetApp Data Infrastructure Insights (DII), AI-driven observability across infrastructure, workloads and dependencies. 
• A consistent data platform with Cloud Volumes ONTAP (CVO), standardised data management across on-premises and cloud. 
• Integrated operations through CGI managed services, continuous monitoring, optimisation and alignment to business outcomes. 

This is not a collection of tools.

It is a single, cohesive operating model, delivered as a service: hybrid cloud data visibility and control.

Start with clarity, not migration

Most cloud strategies start with migration.

But without understanding your current environment, you risk moving complexity into the cloud where it often becomes more expensive.

The better starting point is visibility.

That’s why we begin with a focused data and cloud optimisation workshop, giving you:

• A clear view of where your data sits 
• Insight into what it’s costing and why 
• Identification of risks and inefficiencies 
• A prioritised, practical path forward 

From there, you move with intent, not assumption.

Turning complexity into control

Hybrid cloud isn’t going away. Data will continue to grow, and complexity will increase.

The organisations that succeed won’t be the ones with the most tools; they’ll be the ones with the clearest view and strongest control over their data.

CGI and NetApp provide that clarity and the ability to act on it. That’s what turns hybrid cloud from a source of complexity into a platform for control.

Take the next step

If you’re looking to improve visibility, reduce cost and strengthen control across your data estate, we can help you get started.

Explore how our hybrid cloud data visibility and control service can support your organisation:

Read the brochure

Request a data and cloud optimisation workshop
 

 Sources

1 AI workloads drive estimated cloud waste to 29%
2 Observability Survey Report 2024 - key findings | Grafana Labs