Cost analysis & baseline
Where the spend actually goes, unit-economics view, unused-resource inventory. The starting point for everything that follows.
Optimization & FinOps
Right-size the run. Own the spend. FinOps discipline that turns the cloud bill into a lever the business can pull.
Cloud spend without a FinOps discipline drifts. Phoenix delivers cost optimization and FinOps operating models that put finance, engineering and product on the same page — so the cloud bill becomes a lever the business can pull, not a monthly surprise.
We run the technical optimization (right-sizing, savings plans, storage tiering, unused resource clean-up) alongside the organizational work — tagging, showback / chargeback, budgets and the cadence that keeps it all honest.
Where the spend actually goes, unit-economics view, unused-resource inventory. The starting point for everything that follows.
Compute, storage and database sizing against actual utilization patterns — not the initial estimate that got over-provisioned six months ago.
Commitment strategy — which workloads to commit, at what horizon, on which purchase family. Reviewed on a proper cadence.
Tag strategy that stays enforced, cost allocation by owner / product / environment, showback reports that finance actually uses.
Cadence, ownership, decision rights. The FinOps discipline stood up as a habit, not a one-off review.
Current spend, unit economics, top-10 waste candidates.
Right-sizing, unused resources, storage tiering, easy commitments — delivered in first 4-6 weeks.
FinOps operating model stood up — cadence, roles, reporting. Habit-forming, not one-off.
Every engagement lands specific artefacts — not slides.
Baseline spend analysis with unit economics.
Quick-win optimization delivered against measurable targets.
Right-sizing and commitment strategy live.
Tagging + showback rolled out; cost transparent by owner.
FinOps operating model handed to the customer's team.
FinOps in the FinOps Foundation sense — a discipline that combines engineering, finance and operations to make cloud spend a first-class business input. Not a one-shot cost-cut; an ongoing operating model with monthly reviews, anomaly alerts and forecast tracking.
Both models offered. Phoenix can advise and let your finance team execute purchases, or run commitment portfolios end-to-end under a mandate — modelling, purchasing and lifecycle management (renewals, exchanges, exit).
For a live estate, quarterly on the whole workload set, with lightweight monthly checks on the highest-cost workloads. New workloads get a WAR before go-live. All findings feed into a shared remediation backlog with the CloudOps team.
Yes. Cost optimization is delivered against the existing estate as-is; landing-zone remediation is a separate track that can run in parallel where governance is materially deficient. The two work well together but neither depends on the other.
Yes — Redshift concurrency scaling and pause/resume, EMR right-sizing, Athena query patterns, S3 storage-class tiering, Glue job cost patterns and lakehouse-wide storage lifecycle. Data-layer waste is often the biggest single opportunity in a mature estate.
Whether you're scoping an SAP move to cloud, restarting a stalled programme, or just trying to figure out where data and AI fit — start with a conversation.