If you're managing cloud infrastructure, you've likely asked:
It's a valid question.
In 2025, more businesses are experiencing cloud bill shock, particularly on hyperscale platforms.
However, reducing costs doesn't have to mean sacrificing speed or reliability.
With the right strategy, it is possible to improve performance and reduce cost at the same time.
Public cloud expenses often increase for three main reasons:
Over-provisioning: Paying for compute capacity that goes unused
Data egress charges: Moving data out of the cloud becomes expensive
Poor workload placement: Applications are sometimes hosted in the wrong tier, region, or environment
These issues typically go unnoticed until the finance team flags the overspend.
1. Right-size your workloads
Review actual usage data. Auto-scaling is helpful, but many businesses leave workloads running unnecessarily.
Scenario: A healthcare provider running virtual desktops for 120 staff found they were consistently over-provisioned by 35% during off-peak hours. After right-sizing and applying a scheduled shutdown policy, they reduced monthly compute spend by over $4,000 without impacting availability.
2. Move stable workloads to private cloud
If your workloads are predictable, such as file storage, internal systems, or VDI, private cloud can deliver:
Lower total cost of ownership over a 12 to 36 month period
Consistent performance with no multi-tenant contention
Complete data sovereignty within Australia
This also helps avoid unexpected egress and data transfer charges.
3. Use hyper-converged infrastructure to improve performance
Hyper-converged infrastructure (HCI) combines compute, storage, and networking in a single system.
It offers:
Lower latency
Simplified infrastructure management
Easier scalability by adding nodes
HCI is especially effective in branch locations or regional offices where local performance is critical.
Scenario: A logistics firm operating across regional New South Wales deployed HCI nodes at three branch locations to run inventory and routing software locally. The result was a 40% reduction in latency and fewer service disruptions compared to relying on their Sydney-based public cloud environment.
Cloud optimisation is not just about cost reduction. It is about aligning each workload with the right environment:
Public cloud for burst capacity or global deployments
Private cloud for cost control, security, and predictable workloads
HCI for edge locations or performance-sensitive local workloads
You do not need to sacrifice performance to reduce cloud costs.
You just need to take control of your infrastructure and choose the right architecture for your workloads.
If you would like help evaluating your options, reach out to our Sydney based Australian team or take a look at our PowerStack options
Q: Is private cloud really cheaper than public cloud?
Yes, for stable and predictable workloads, private cloud can deliver lower total cost over a three-year period, especially when factoring in data egress fees and multi-tenant performance degradation on public cloud platforms.
Q: What is hyper-converged infrastructure and how does it reduce costs?
HCI integrates compute, storage, and networking into a single system. This simplifies management, reduces hardware footprint, and eliminates the need for complex SANs or separate storage networks. It also scales more efficiently, helping reduce both capital and operational costs.
