United Arab Emirates
Saudi Arabia
Cloud Cost Optimisation
A structured review of Azure, AWS and Microsoft 365 spending that finds waste, right-sizes resources and sets up controls so costs stay predictable. For finance and IT leaders who see the cloud bill rising without a clear reason.
- Waste found with evidence
- Commitments matched to real usage
- Budgets and alerts that stick
Cloud cost optimisation is the ongoing practice of reducing waste in Azure, AWS and Microsoft 365 spending without hurting performance. It covers analysing bills, removing unused resources, right-sizing workloads, choosing suitable commitment discounts, tagging costs to departments and setting budgets and alerts, so the business pays only for what it uses and can predict monthly spend.
Cloud Cost OptimisationCloud Cost Optimisation: what it involves
Cloud bills grow in small steps that nobody notices individually: a test server left running, disks kept after machines were deleted, premium storage for archive data, oversized databases and Microsoft 365 licences still assigned to people who left. Because costs are spread across subscriptions and services, finance teams struggle to tie spend to departments or projects, and IT teams struggle to justify which resources are actually needed.
We analyse billing and usage data from Azure Cost Management, AWS Cost Explorer and the Microsoft 365 admin centre, then group findings into quick wins, design changes and commitment options. Quick wins include deleting orphaned resources and shutting down idle environments out of hours. We then rightsize workloads, review storage tiers and model reservations or Savings Plans against your actual usage pattern. Tagging, budgets and alerts follow, so departments see their own spend from then on.
Where we usually look
- 1Resources running around the clock but used only in office hours
- 2Storage kept on premium tiers long after data went cold
- 3Licences assigned to disabled or departed users
- 4Commitments that no longer match the resources in use
- 5Spend with no owner or cost-centre tag
Our Cloud Cost Optimisation scope
Azure, AWS and Microsoft 365 spend reviewed, right-sized and kept in check
Billing and usage data broken down by service, team and project.
Orphaned disks, snapshots, IPs and idle resources removed.
Virtual machines and databases resized to real utilisation.
Reservations and Savings Plans modelled against usage history.
Tags that let each department see its own cloud costs.
Thresholds that warn owners before spend runs over.
What you receive, and what shapes the cost
What you receive
- A spend breakdown by service, subscription and department
- A list of savings opportunities ranked by effort and impact
- Completed clean-up of unused and orphaned resources
- A commitment recommendation based on usage history
- Budgets, alerts and a tagging standard in place
What affects the cost
- Size and number of cloud accounts or subscriptions
- Whether the review is one-off or an ongoing service
- How many platforms are included, such as Azure, AWS and Microsoft 365
- How much change work we carry out versus recommend
Cloud Cost Optimisation: project phases
- 01Data gathering
We collect billing, usage and licence data from each platform.
- 02Analysis
We identify waste, oversizing and commitment options with evidence.
- 03Action
We carry out agreed changes, starting with low-risk quick wins.
- 04Governance
We set budgets, alerts, tags and a review rhythm to keep costs in line.
Common Cloud Cost Optimisation mistakes
Reserving capacity before right-sizing locks in waste, so size first and commit second.
Deleting resources without checking owners can break systems, so confirm with each owner first.
Savings fade as new waste appears, so review costs on a regular rhythm.
Microsoft 365 licences for departed staff add up, so include SaaS licences in reviews.
Cloud Cost Optimisation terms explained
- Rightsizing
- Changing a resource to a smaller or larger size to match actual use.
- Reserved instance
- A discount for committing to use specific cloud capacity over a set term.
- Savings Plan
- An AWS or Azure commitment to a level of hourly spend in exchange for lower rates.
- Showback
- Reporting cloud costs to each department without formally charging them.
The difference you will notice
- 01Visible spend
Costs tied to teams and projects, not one opaque bill.
- 02Less waste
Unused and oversized resources removed or resized.
- 03Predictable budgets
Alerts and reviews keep spend within agreed limits.
Five steps from assessment to always-on support
- STEP 01Assess
We review your infrastructure, security posture, assets and support model, and agree priorities.
- STEP 02Design
A clear architecture and plan, with scope, timeline and a fixed quote before work starts.
- STEP 03Deploy
We supply, install, configure and migrate, then document everything we build.
- STEP 04Manage
Ongoing support, monitoring and maintenance under agreed SLAs.
- STEP 05Improve
Regular reviews, reports and recommendations as your business grows.
Cloud Cost Optimisation in the UAE and Saudi Arabia
Local offices in Ras Al Khaimah and Riyadh, remote support around the clock and on-site visits where your project needs them.
Cloud Cost Optimisation in the UAE
Shyphan AI Technology LLC, RAK Free Trade Zone, Ras Al KhaimahUAE businesses billed in foreign currency often see cloud costs move with usage and exchange rates, so clear tagging and budgets help finance teams in every emirate plan ahead. We review Azure UAE region pricing against other regions where workloads are not tied to the UAE, and include Microsoft 365 licences for each entity. We support the Emirates from our Ras Al Khaimah office, remotely around the clock and on site where needed.
- Data handled in line with the UAE Personal Data Protection Law (Federal Decree-Law No. 45 of 2021), and the separate DIFC and ADGM regimes where they apply.
Cloud Cost Optimisation in Saudi Arabia
Shyphan AI Technologies LLC, Malaz, King Abdulaziz Road, RiyadhSaudi organisations often run cloud alongside on-premise systems, so cost reviews look at both to avoid paying twice. Where data location rules under the Saudi PDPL limit region choice, we focus on right-sizing, scheduling and commitments, and report spend by department for teams in Riyadh, Jeddah and the Eastern Province. Our Riyadh office leads this work in the Kingdom.
- Work aligned with the Saudi Personal Data Protection Law (SDAIA) and, for government and critical infrastructure, the NCA Essential Cybersecurity Controls.
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How much can we save?
It depends entirely on your environment. We report findings with estimated impact based on your own usage data, so you can decide what to act on.
Will cost changes affect performance?
Rightsizing is based on measured usage with headroom, and changes are scheduled and monitored so performance is checked after each one.
Do you review Microsoft 365 licences too?
Yes. We check for unused, duplicated and over-specified licences alongside Azure and AWS spend.
Is this a one-off review or ongoing?
Either. Many clients start with a review, then keep monthly cost checks as part of Azure or AWS managed services.
Can you reduce Microsoft 365 licence costs for a company in Dubai?
Often, yes. We look for unused licences, users on higher plans than they need and add-ons that overlap with what you already own.
Will cost optimisation change where our data is stored?
Not unless you agree. If data must stay in a particular region, we keep it there and save through sizing, scheduling and commitments.
Do you provide Cloud Cost Optimisation in Dubai and Riyadh?
Yes. We deliver Cloud Cost Optimisation across the UAE from our Ras Al Khaimah office and across Saudi Arabia from our Riyadh office, with remote support 24/7 and on-site visits in cities such as Dubai, Abu Dhabi, Riyadh, Jeddah and Dammam where your project needs them.
Talk to us about Cloud Cost Optimisation
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