Cloud Cost Monitoring: See Where Every Cloud Dollar Goes
Cloud consoles are separate, Excel roll-ups lag, and budget alerts are fixed thresholds. Mof unifies every cloud in one custom dashboard, near real-time, with virtual tags, cost allocation, anomaly detection and alerts.
Status quo · every cloud on its own, by hand
Separate consoles
Excel merges
Month-end reconciling
Anomalies found late
Scattered, slow, schemas differ — problems surface late
With Mof · one real-time table
Read-only, out of the box, nothing to build
Why teams use Mof for cloud cost monitoring
Cost monitoring should answer three questions: where is the money going, why did it rise, and whose is it? In reality each cloud sits in its own console with its own schema, seeing the whole means exporting to Excel and merging by hand — often only at month-end — and native budget alerts are fixed thresholds that miss spikes and trends.
Mof is a FinOps platform for teams running more than one cloud. It connects to billing and resources read-only, unifies them in one custom, near real-time dashboard, and adds virtual tags, cost allocation, anomaly detection and alerts — turning cost from “reconciled after the fact” into “seen live, flagged early.”
How teams monitor cloud cost today — each with a catch
Consoles, Excel, native budget alerts — each holds for a while, but all struggle with cross-cloud, real-time and early warning.
- One console per cloudAccounts, regions, products — constant switching
- Different schemasFields, periods, discount math all differ
- No cross-cloud viewTotal spend? You merge it yourself
- Month-end onlyBy the time you have the bill, it’s history
- Merged by handCopy-paste and formulas, error-prone, versioned
- Not real-timeCost moves and nobody knows, let alone drills in
- Dead thresholdsSpikes and trends go undetected
- Raw fieldsHard to tell where it rose
- No IM pushEmail / in-console, seen too late
How Mof does it
Connect read-only, unify into one real-time dashboard, then add virtual tags, allocation, anomaly detection and alerts.
Manual / cloud-native vs Mof
| Dimension | Manual / cloud-native | Mof |
|---|---|---|
| Multi-cloud | Separate consoles | One table, unified |
| Freshness | Month-end / lagging | Near real-time |
| Schema | Fields differ per cloud | Normalized, one schema |
| Virtual tags | Native tags, gaps hard to fill | Non-invasive virtual tags by rule |
| Cost allocation | Spreadsheet formulas, shared hard to split | Showback + virtual tags |
| Anomaly detection | Fixed thresholds only | Holt-Winters spikes / trends |
| Alerts | Email / in-console | Slack, email, DingTalk / Lark / WeCom |
| Export | Manual cleanup | One-click Excel export |
Cloud cost monitoring FAQ
How is Mof’s cost monitoring different from the cloud’s own?
Cloud views are per-cloud, differ in schema, have no cross-cloud picture and only fixed-threshold alerts. Mof unifies every cloud in one custom dashboard, near real-time, and adds virtual tags, cost allocation, anomaly detection (Holt-Winters) and alerts to Slack, email and IM.
Which clouds are supported, and how fresh is the data?
AWS, Azure, GCP and Oracle plus Alibaba Cloud, Tencent Cloud, Huawei Cloud, Volcengine, Baidu Cloud and UCloud. Bills and usage sync near real-time — no waiting for month-end.
Is connecting risky?
No. Mof connects to billing and resources through read-only permissions — no write access, and nothing in your cloud is changed.
When monitoring finds an anomaly, how does it reach people?
When anomaly detection catches a spike or trend, Mof pushes a clean card to Slack, email, DingTalk, Lark or WeCom, routed by account / team / project to the right owner.
Can finance and business teams use it?
Yes. Dashboards are customizable, alerts are readable summaries, and allocation results export to Excel finance can use directly.