Cloud cost optimisation 路 Large New Zealand council
95% storage saving through Azure Backup retention redesign
Problem: Historical VM backup data was still sitting in expensive Azure Backup storage after workloads had been decommissioned.
Action: We separated active recovery needs from long-term retention, confirmed which data still needed to be kept, and moved around 200 TB of eligible backup data into secure archive storage.
Outcome: Storage cost for migrated data dropped by around 95%, creating a six-figure annual saving while preserving required retention.
95% storage cost reduction
Read case study
Cloud cost optimisation 路 Large enterprise cloud environment
Hidden Azure consumption pattern resolved through root-cause FinOps analysis
Problem: Azure spend kept growing even after reservations and savings plans had already been addressed.
Action: We traced the cost increase back to unmanaged storage growth linked to a specific operational process, then helped define the remediation path.
Outcome: The root-cause fix created a five-figure monthly reduction and a six-figure annualised saving.
Six-figure annualised savings
Read case study
Cloud cost optimisation 路 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 compute cost, with too many SKU variations to optimise cleanly.
Action: We rationalised VM families, modelled reservation coverage, and kept enough pay-as-you-go capacity for workloads that still needed flexibility.
Outcome: The optimisation plan identified six-figure compute savings, with up to 64% saving available through selected three-year reservations.
Up to 64% savings over 3-year reservations
Read case study
Cloud cost optimisation 路 Large enterprise cloud environment
Significant saving from discovering a cloud-unsuitable legacy workload
Problem: A legacy VM-based workload was repeatedly crawling Azure file shares and generating tens of millions of transactions across Storage, Defender, and networking.
Action: We traced the cost back to workload behaviour, confirmed the affected services, and helped the team move to a more suitable existing technology path.
Outcome: The process was retained, but the workload pattern changed, creating around 90% cost reduction for the affected area.
Another six-figure savings experience
Read case study
Cloud cost optimisation 路 Large government agency
Five-figure annual saving by tuning excessive Azure diagnostic logging
Problem: A complex Azure integration environment had high spend that was being treated as normal platform cost.
Action: We 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
Read case study