The cloud-vs-colocation question comes up for most companies when IT load stops being occasional and becomes continuous. Both models make sense — but in different scenarios. The right answer depends not on trends or vendor recommendations, but on your workload pattern and planning horizon.
What cloud and colocation actually are
Cloud (IaaS/PaaS) means renting compute resources from a provider: virtual machines, managed databases, storage, CDN. You do not purchase hardware — you pay for consumption as you go. AWS, Google Cloud, Microsoft Azure, and regional cloud providers all operate on this model.
Colocation means placing your own servers in the racks of a commercial data center. The DC provides rack space, power, cooling, connectivity, and physical security. You manage your hardware remotely.
In both cases, the physical server lives in someone else’s building. The difference is whose equipment it is and how costs are structured.
Side-by-side comparison
| Parameter | Cloud | Colocation |
|---|---|---|
| Hardware ownership | Provider | You |
| Upfront costs | None | Hardware purchase |
| Scaling | Minutes (up and down) | As hardware is purchased |
| Configuration control | Limited to catalog | Full |
| Cost predictability | Varies with consumption | High (OPEX is fixed) |
| Physical data control | No | Yes |
| Data localisation (Kazakhstan) | Depends on provider | Guaranteed |
| Cost at 24/7 load | High | Low |
| Team expertise required | Not for hardware | Yes (DevOps/SysAdmin) |
When cloud wins
Variable or unpredictable load. Startups, seasonal projects, e-commerce with sale-period spikes — cloud allows instant scale-up and avoids paying for idle resources in off-peak periods.
Fast start without capital investment. No hardware budget, no time for procurement and setup — cloud infrastructure launches in hours. Ideal for MVPs, pilots, and test environments.
Global presence. If you need servers in multiple countries, cloud providers offer dozens of regions without any physical logistics.
No in-house IT team. Managed services (managed databases, managed Kubernetes) remove operational overhead: the provider handles updates, patches, and scaling.
Infrequent high-performance jobs. Training an ML model once a week on 100 GPUs — in the cloud you pay for hours of use, not for GPU servers that sit idle the rest of the time.
When colocation wins
Steady, high load. When servers run 24/7 at consistent utilisation, monthly cloud bills far exceed the cost of owning hardware plus rack rental. Typically, from 3–5 servers onwards on a three-year horizon, colocation is two or more times cheaper.
Specific hardware. AI compute clusters, high-frequency trading systems, specialised FPGAs — if you need hardware not available in a cloud catalog, colocation gives complete freedom.
Strict latency requirements. Colocation lets you place servers exactly where your network topology requires: near internet exchange points, in a specific city, with minimal latency to your users.
Compliance and audit. Financial regulators, healthcare standards (HIPAA), and Kazakhstan’s personal data law all require clear data custody chains and physical audit access. Colocation in a certified DC provides this.
Data localisation in Kazakhstan. Kazakhstan’s Law on Personal Data (No. 94-V) requires that citizen data be stored on servers physically located in Kazakhstan. Not all cloud providers have Kazakhstani regions. Colocation in a Kazakhstani data center unconditionally satisfies this requirement.
Real economics: 3 years, 10 servers
A typical mid-size business scenario: 10 servers for production workload.
Cloud (IaaS equivalent of 10 mid-range servers): ~$800–1,200/month per server × 10 = $8,000–12,000/month → $288,000–432,000 over 3 years.
Colocation: Purchase of 10 servers: ~$30,000–50,000 (CAPEX) Rack space + power + connectivity: ~$800–1,500/month → $28,800–54,000 (OPEX over 3 years) Total: $58,800–104,000 over 3 years.
That is a 3–5× difference. At the end of three years, the hardware is still yours and can be upgraded or sold.
For context: cloud starts losing to colocation on a cost basis somewhere between 18 and 24 months of steady load. At utilisation below 30%, cloud is often more economical.
The hybrid approach: the best of both worlds
Most mature companies do not choose between cloud and colocation — they use both. A common pattern:
- Baseline load (predictable, 24/7) — in colocation. Economical, full control.
- Variable load (spikes, test environments, DR) — in cloud. Pay only when needed.
- Sensitive data (personal data, financial records) — in colocation at a Kazakhstani DC. Guaranteed localisation.
- Public services and CDN — in cloud with global geographic distribution.
This architecture delivers cost predictability for baseline workloads and flexibility for growth.
Frequently asked questions
Which is cheaper — cloud or colocation?
It depends on workload. For variable or small workloads, cloud is more convenient — no CAPEX. For steady workloads from 3–5 servers on a 2–3 year horizon, colocation is 2–4× cheaper. The key question: how predictable is your load?
Can you combine cloud and colocation?
Yes, and this is common practice. Predictable load goes into colocation, variable load into cloud. This hybrid architecture optimises both cost and flexibility.
Is cloud safer from a compliance standpoint?
Not necessarily. Large cloud providers carry serious certifications, but your control over the physical location of data is lower. For Kazakhstani data localisation requirements, colocation in a Kazakhstani DC is more reliable: you know exactly where your data physically resides.
How long does it take to migrate from cloud to colocation?
Plan for 1–3 months: hardware procurement, DC deployment, data migration, testing, traffic cutover. Running both environments in parallel during migration is standard practice.
What expertise do you need to manage colocation?
You need someone who can administer Linux/Windows servers and networks. For physical maintenance, the DC provides remote hands. Compared to running an in-office server room — less physical work, more remote management.
Want to calculate whether cloud or colocation is more cost-effective for your infrastructure? Contact the Akashi team — we will run a TCO analysis for your workload.