Cloud cost optimisation · Large New Zealand council
95% storage saving through Azure Backup retention redesign
Problem: Long-term VM backup data was being retained in expensive Azure Backup vault tiers, even where lower-cost archive storage was suitable.
Action: CloudQbit reviewed retention requirements, separated active recovery needs from long-term retention, and moved eligible backup data to secure archive storage.
Outcome: Around 200 TB was migrated, reducing storage cost for eligible backup data by 95% and creating a six-figure annual saving.
95% storage cost reduction
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Cloud cost optimisation · Large enterprise cloud environment
Hidden Azure consumption pattern resolved through root-cause FinOps analysis
Problem: Azure spend continued to grow even after reservation and savings-plan opportunities had already been addressed.
Action: CloudQbit traced the cost increase from service-level trends back to the operational behaviour creating unmanaged consumption.
Outcome: Root-cause remediation produced a five-figure monthly reduction and a six-figure annualised saving.
Six-figure annualised savings
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Cloud cost optimisation · Large government agency
Six-figure compute saving through VM reservation and SKU standardisation
Problem: A fragmented VM estate was carrying high pay-as-you-go usage and too many VM SKU variations to optimise effectively.
Action: CloudQbit rationalised VM families, validated reservation coverage, and protected enough pay-as-you-go capacity for operational flexibility.
Outcome: The optimisation plan identified six-figure savings potential, with up to 64% savings available through selected 3-year reservations.
Up to 64% savings over 3-year reservations
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Cloud cost optimisation · Large enterprise cloud environment
Significant saving from discovering a cloud-unsuitable legacy workload
Problem: A legacy cloud application hosted on a VM was repeatedly crawling Azure file shares and generating tens of millions of transactions. This increased Storage, Defender, Networking costs, with the affected workload pattern representing around 40% of total cloud storage spend.
Action: We discovered the workload behaviour behind the cost, traced the impact across the affected Azure services, identified a more suitable existing technology path, and helped the team move the change through architecture review and change control.
Outcome: The workload was changed without removing the process or business requirement, creating significant cost reduction of around 90%.
Another six-figure savings experience
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Cloud cost optimisation · Large government agency
Five-figure annual saving by tuning excessive Azure diagnostic logging
Problem: A complex integration environment had high Azure spend that was being treated as normal operational cost.
Action: CloudQbit analysed service-level cost behaviour and proved excessive diagnostic ingestion into Log Analytics was the main driver.
Outcome: Logging was tuned without removing required visibility, creating a five-figure annual saving and clearer cost ownership.
About 80% of cost traced to logging in one case
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