Cloud spend is your second or third largest technology cost — and most organisations are wasting 25–35% of it. Gigamatics brings a structured FinOps practice to give your business full visibility, enforceable governance, and a clear path to measurable, sustained cost reduction — without sacrificing performance or velocity.
FinOps is not a cost-cutting exercise. It is a financial operating model for cloud — bringing together engineering, finance, and operations to make deliberate, informed decisions about cloud spend at scale. Organisations that treat cloud cost as a byproduct rather than a managed variable consistently overspend, often by 25–35%. Gigamatics implements FinOps as a structured practice: visibility frameworks, governance controls, accountability models, and optimisation engines running continuously.
Full cost allocation, tagging governance, and real-time dashboards ensure every team knows exactly what they're spending and why.
Rightsizing, commitment purchasing, waste elimination, and architectural efficiency, executed in governed sprints with defined targets.
Budgets, policies, guardrails, and accountability frameworks ensure that savings achieved today don't erode tomorrow.
A structured, end-to-end FinOps practice built to deliver visibility, governance, and sustained optimisation across your cloud estate, not a one-time cost review.
Tagging strategy design and enforcement, cost allocation across business units, showback/chargeback models, and real-time dashboards with anomaly alerting.
Compute, memory, and storage utilisation analysis, rightsizing recommendations with risk classification, and continuous rightsizing cadence.
Reserved Instance portfolio design, AWS Savings Plans / Azure Reservations / GCP CUDs, and commitment utilisation monitoring.
Idle VM and orphaned resource identification, dev/test environment governance, and automated waste detection workflows.
Budget design and enforcement, cloud cost policy and guardrail implementation, and monthly governance reporting cadence.
Maturity scoring against the FinOps Foundation framework, tooling evaluation, and a prioritised roadmap with savings estimates.
AI-based usage pattern analysis and anomaly detection help identify rightsizing and waste-elimination opportunities that manual review often misses — validated and prioritised by a senior FinOps practitioner.
See how AI supports our delivery →Every engagement follows a defined four-phase delivery model, moving from baseline visibility through to self-sustaining cost governance that works without ongoing external intervention.
Full analysis of your cloud estate — spend by service, team, region, and workload, with tagging gaps and savings opportunities documented.
Tagging strategy, cost allocation model, and dashboards giving engineering and finance complete, real-time visibility.
Structured sprints targeting rightsizing, waste elimination, and commitment purchasing, with post-implementation savings validation.
Policies, budgets, guardrails, and review cadences embedded into your workflow, with all savings validated and documented.
We work with native cloud cost management tools and leading third-party FinOps platforms, selecting the right tooling for your estate size, multi-cloud complexity, and team capability.
AWS Cost Explorer, AWS Budgets, AWS Trusted Advisor, Azure Cost Management, Azure Advisor, Google Cloud Billing, and GCP Recommender.
CloudHealth by VMware, Spot.io (NetApp), Apptio Cloudability, and Kubecost for Kubernetes cost management.
Where native tooling gaps exist, we build custom cost dashboards using Grafana, Power BI, or Looker.
Most cloud cost reviews are done by generalist consultants with spreadsheets. Gigamatics brings senior cloud engineers to the FinOps problem — people who understand workloads, architecture, and the real trade-offs involved in every optimisation decision.
Our FinOps practice is led by cloud architects who understand workload behaviour, not just unit pricing.
Every recommendation is validated, risk-classified, and implemented — with before-and-after savings confirmed in writing.
We build the frameworks and accountability structures that sustain cost discipline after we leave.
Cost optimisation decisions affect architecture and security posture. Our practice integrates FinOps with your complete operating model.
Consistent, validated outcomes delivered across cloud estates of varying size, maturity, and complexity — sustained reductions, not one-time gains that erode over time.
A structured cloud cost assessment takes two to three weeks and delivers a documented baseline, savings opportunity register, and prioritised FinOps roadmap.
2–3 week structured analysis — documented baseline, waste inventory, and savings opportunity register.
Written report quantifying savings potential across rightsizing, commitment, waste, and architectural categories.
Your conversation is with the practitioner who will run the engagement, not a sales lead.
Have a specific question about your cloud estate, tooling, or savings potential? Our practitioners are ready to talk.
No. Organisations spending $10K/month on cloud can benefit significantly, particularly around tagging, commitment strategy, and waste elimination. The ROI is often highest at mid-market scale where governance structures haven't yet been built.
Most clients see confirmed savings within 30–60 days of the optimisation sprint phase beginning, typically starting with waste elimination and rightsizing. Total validated savings are achievable within 90 days of engagement kick-off.
Every recommendation is risk-classified before implementation and validated against historical performance data. We do not implement changes that compromise performance or reliability; genuine trade-offs are presented transparently.
Internal cloud teams are typically focused on delivery, not cost governance. FinOps consulting adds structured methodology and tooling expertise, then transfers capability so your team can sustain it independently.
No. The assessment phase works with your existing native cloud billing data, available to every cloud customer at no additional cost. We recommend third-party platforms only where savings clearly justify the investment.
A cost review produces a list of recommendations. FinOps is an operating model — it implements visibility, governance, accountability, and continuous optimisation as ongoing practices embedded in your organisation.
Yes. We consolidate and normalise spend visibility across AWS, Azure, and GCP simultaneously, with unified governance frameworks that account for the added complexity multi-cloud environments introduce.