The same data, answering different questions.
A finance partner, an operator, an engineer, and a director are looking at the same estate — and need entirely different things from it. Flux serves all four from one governed source instead of four reconciled spreadsheets.
Turn a cloud bill into an accountable ledger.
Attribute spend to the teams that create it, prorate what's genuinely shared, and keep the unallocated remainder visible instead of quietly absorbed. Flux measures allocation coverage as a first-class number — because the gap is the work.
Allocation with an honest denominator
Cost centers resolve from ordered tag keys. Shared spend prorates across consumers in proportion to direct usage. Untagged spend stays labeled unallocated, with the costliest offenders ranked so coverage can actually be raised.
Commitments, measured not guessed
Charge-level FOCUS data drives reservation and savings-plan coverage, per-commitment utilization, and realized discount against list price — so renewal conversations start from evidence.
Savings you can defend
Track recommendations from accepted to implemented, then measure the result from actual cost after the change — not from the original estimate. Your quarterly savings number survives audit.
Know what changed before someone asks.
Seasonal anomaly detection on daily cost, exact consecutive-snapshot inventory diffs, and source freshness that tells you when a number is stale rather than letting you trust it. Detection is governed: a warming-up baseline says so instead of firing.
Right-size on evidence, not vibes.
Recommendations are computed deterministically from reconciled platform-metric and LogicMonitor telemetry, with explicit coverage states and a conservative rule that never treats missing data as idle. Where two sources disagree materially, the finding is routed to review rather than asserted.
Multi-source telemetry, reconciled
CPU, memory, disk, and network from platform metrics and LogicMonitor, matched per resource with per-metric source, aggregation, window, and lineage retained — so a recommendation can be traced to the samples behind it.
Actionable now, or explicitly not
Findings separate into an actionable queue, portfolio review, and evidence-deficient lanes. Nothing sits in a single undifferentiated backlog pretending to be equally ready.
Deterministic evidence packs
Export inventory, cost, telemetry, confidence, freshness, and uncertainty for any finding — plus implementation, validation, and rollback drafts — as a reproducible artifact for a change request.
One page you can take into the meeting.
Month-to-date position against the prior period, budget posture across the estate, active anomalies, the savings pipeline and what it has actually realized, and allocation coverage — generated from the same governed data everyone else is working in, and explainable in plain language by an agent that reads it the same way you do.
spend MTD ▲ 8.3% vs prior period
budgets 2 on track · 1 at risk
anomalies 3 active · contributors ranked
savings realized from measured cost delta
allocation 94% attributed to cost centers
every figure traces to snapshot v13
Four audiences never argue about whose number is right.
Because there is only one number. Every view above reads the same published snapshot, at the same version, with the same lineage.
Bring your hardest question.
Most teams start with allocation coverage or a cost spike nobody can explain.