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Česky
Daily Azure billing ingestion, cost allocation across projects, and split-out of shared resources by the metric that actually drives the spend. So every project owner sees their real number — and you spot the anomaly before the next invoice.
Start a projectAzure Cost Management shows you the total. It doesn't tell you that Project A is suddenly burning 60% of the shared SQL DTUs, or that a forgotten dev environment quietly doubled in cost overnight. We pull billing data daily, allocate every line to a project, split shared resources by the metric you choose, and raise an alert the moment something jumps.
How much did Project A really cost last month — including its share of the App Service Plan and SQL?
Which resources jumped more than 20% versus the 30-day baseline yesterday?
Show me the cost trend per project across all three subscriptions, side by side.
Pulls cost & usage data from Azure every day. PAYG, EA, MCA, CSP — all subscription types under one report. Historical backfill on first connect.
Tag-driven mapping of every Azure resource to a project. Untagged resources don't disappear into "other" — they show up on a tagging-debt dashboard until you fix them.
Shared App Service Plan, SQL server, or AKS cluster? Allocate by the metric that fits — CPU time, request count, DTU usage, namespace consumption — not by an arbitrary fixed percentage.
Per-resource baselines with seasonality awareness. When yesterday's cost breaks the band, you get an email or Teams alert — not at month-end when the invoice lands.
Month-to-date burn vs. budget, run-rate forecast for the rest of the period, and year-over-year comparisons — by project, by service, by environment.
One report across PAYG, CSP, EA, MCA — even across different Azure tenants. Per-customer rollups for partners; per-cost-centre rollups for enterprises.
Azure Cost Management is excellent at telling you what Microsoft charged. It is not built to answer "what does Project A actually cost?" — because Project A doesn't exist in Microsoft's data model. Tags help, but tags don't split a shared SQL server by who used the DTUs. Tags can't allocate an AKS node pool by namespace consumption.
That's the gap we fill. Your data, your project taxonomy, your splitting rules — applied daily, audited monthly, exposed in dashboards your finance and engineering leads can both read.
Runs in your Azure tenant — read-only access to billing exports, no production data touched. Dashboards via Power BI, Grafana, or a hosted web UI; alerts via email, Teams, or webhook into your existing incident channel.
Onboarding is typically two weeks: connect billing, agree the allocation rules with finance and engineering, define the first set of anomaly thresholds. After that, it just runs.