Skip to content

Cost optimization features

Find every saving. Surface them. Prioritize by annual return.

CloudMonitor scans 14+ days of Azure usage data and proposes recommendations across right-sizing, reservations, idle resources, storage tiers, and hybrid licensing. Each one is ranked by annual saving.

The optimization engine

Every saving on a single screen.

The Cost Recommendations report shows every open, applied, and dismissed recommendation across your tenant. Filter by category, subscription, or cost group.

  • Five categories of recommendation. Right-sizing, reservations, idle, storage tier, hybrid licensing.
  • Prioritized by annual saving. See the $14k recommendation before the $200 one.
  • Bulk apply or push to Jira. Apply directly, or push a ticket to your ITSM system with the full context.
  • Audit trail of every decision. Track what was applied, what was dismissed, and why.
CloudMonitor performance recommendations for right-sizing and cost savings

Right-sizing

Downsize what you don't need. Without a spreadsheet.

CloudMonitor analyzes CPU, RAM, IOPS, and network for every VM, App Service, SQL DB, and AKS node. If utilization sits below threshold for 14 days, a downsize recommendation appears.

  • VM & VMSS. Right-size families and SKUs across compute fleets.
  • App Services. Downsize Premium tiers where memory and CPU permit.
  • SQL Database. Right-size DTU and vCore — Business Critical to General Purpose where SLAs allow.
  • AKS nodes. Identify underutilized node pools and propose smaller VM SKUs.
CloudMonitor right-sizing recommendations with utilization data

Reservations & savings plans

Buy the right RIs. At the right time.

CloudMonitor models your committed-use spend against on-demand pricing for VMs, App Services, SQL, Cosmos DB, and more. It flags expiring RIs and proposes optimal renewal patterns.

  • RI utilization report. See exactly which RIs are matched, which are underutilized, and which are about to expire.
  • Savings Plan modeling. Compare 1-year and 3-year Savings Plan commitments against historical usage.
  • Chargeback the savings. Allocate RI savings back to the business unit that bought them.
  • Hybrid Benefit detection. Find SQL and Windows resources that qualify for Azure Hybrid Benefit.
CloudMonitor RI utilization summary and savings report

Anomaly detection

Catch bill-shock before it lands.

CloudMonitor builds a daily-spend forecast for every resource. When today's spend diverges from forecast by more than your threshold, an anomaly fires.

  • Per-resource daily forecast. Built on 30 days of historical usage. Updates every 24 hours.
  • Severity-tiered alerts. Critical / High / Medium severity. Tune thresholds per cost group.
  • Drilldown to root cause. Click an anomaly to see usage, recent deployments, and likely cause.
  • ITSM integration. Push anomalies to Jira, ServiceNow, or any webhook.
CloudMonitor cost anomaly detection with spend trends and alerts

Microsoft Teams bot

Alerts where engineers already live.

The CloudMonitor Teams bot pushes anomaly and budget-breach alerts into the right Teams channel. Engineers acknowledge, investigate, and close the loop without leaving Teams.

  • Per-cost-group routing. Each cost group can route alerts to its own Teams channel.
  • Quiet hours and on-call. Configure quiet hours, escalation, and on-call rotations.
  • Acknowledge in place. Acknowledge, snooze, or close an anomaly from inside the Teams card.
  • Daily / weekly digests. Optional digest cards summarising spend and savings progress.
CloudMonitor Teams bot showing an anomaly alert adaptive card

See the optimization engine on real data.

The live demo runs against a sandbox Azure tenant with realistic spend, recommendations, and anomalies.