Rising Cloud Bills
Monthly AWS / Azure spend growing faster than workload demand — and no obvious explanation for the gap.
TCO modeling, FinOps frameworks, licensing optimization, and cost governance that eliminate budget surprises across cloud, security, and infrastructure.
Predictable Economics is the discipline of aligning cloud and technology spend with business priorities — instrumented from day one rather than reverse-engineered after the bill arrives. It combines FinOps governance, right-sizing, commitment planning, and platform consolidation to flatten the cost curve as workloads scale.
It matters because uncontrolled cloud spend is the most common reason transformation programmes lose board confidence. Predictable economics is the difference between budget surprises that derail planning and a cost trajectory the CFO can defend.
Monthly AWS / Azure spend growing faster than workload demand — and no obvious explanation for the gap.
Provisioned compute and storage running at 10-20% utilisation while still being billed at full capacity.
Cost decisions made by individual engineers without visibility, chargeback, or policy.
Auto-scaling configured for peak load 24/7 instead of demand-aware patterns.
No single pane of glass across AWS, Azure, and on-prem — so true TCO is a guess.
Servers, databases, and licenses sized for worst-case scenarios that never materialise.
Control rapidly scaling cloud costs as ARR grows.
Optimise compliant cloud infrastructure without HIPAA trade-offs.
Right-size for peak events without paying for idle peak capacity year-round.
Hybrid cloud operations with multi-site cost transparency.
Vendor-neutral by design — we hold active certifications across competing platforms so the recommendation follows your workload, not our partner tier.
Analyse cloud consumption patterns, license usage, and platform sprawl.
Detect cost inefficiencies, idle resources, and licence waste.
Right-size, commit-plan, automate, and consolidate redundant platforms.
Establish FinOps controls, chargeback, and cost-policy enforcement.
Quarterly health checks, anomaly detection, and ongoing optimisation.
Rapid customer growth pushed monthly AWS spend up 4× in 18 months — without proportional revenue growth — putting margin targets at risk.
Implemented FinOps governance, Kubernetes right-sizing, Reserved Instance / Savings Plan commitment strategy, and unit-economics dashboards across 14 product teams.
Cut monthly AWS spend by 37% within 6 months while improving p99 latency 22%. Cost-per-customer now tracked at the team level with chargeback alerts.
Inherited backup-and-DR estate spanned 4 platforms with overlapping coverage, duplicate licences, and no unified RPO/RTO reporting.
Independent platform evaluation, phased migration to a single backup platform, decommission of redundant licences, and unified compliance reporting.
Eliminated £2.4M / year in redundant licences. Recovery time improved 60%. Single audit-ready evidence pack across the estate.
Briefs, case studies, and points of view from the people doing the work — written for practitioners, not pitch decks.
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