Azure Resource Monitor

A free online tool to monitor Azure resources, helping developers and IT teams track health, usage, and performance across subscriptions in real time.

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About This Tool

Azure Resource Monitor is a cloud-focused tool designed for engineers responsible for Azure deployments. It aggregates health signals, usage patterns, and performance indicators from Azure resources, subscriptions, and regions to deliver a concise view of overall reliability. The tool emphasizes automation-ready outputs and deterministic calculations, supporting teams that need consistent data for incident response, capacity planning, and governance without relying on bespoke scripting.
Conceptually, it ingests signals from Azure Monitor APIs, normalizes units, and computes a per-resource health score and trend indicators. It aggregates across subscriptions to reveal cross-resource relationships and spots anomalies. The tool returns structured summaries that can feed automation scripts, runbooks, or reports, without exposing any front-end UI logic.
Who benefits: DevOps engineers, SREs, cloud architects, IT operations, and finance teams responsible for cost visibility. Use cases include SLA verification, capacity planning, anomaly detection, cross-region health reconciliation, and compliance reporting. The value lies in a standardized data model that makes multi-resource health assessment reliable and repeatable.
Unique value and core features: uniform data model for health, utilization, and SLA indicators; multi-subscription correlation; region-aware units and time zones; exportable outputs for automation; configurable thresholds; and support for common Azure resource types like VMs, databases, and networking. Use the tool to create baseline health profiles, identify deteriorations early, and drive informed optimization decisions.

How to Use

  1. Provide inputs: Define Azure subscription(s), resource types, resource groups, and metrics to monitor.
  2. Configure time window: Set the monitoring window (e.g., last 15m, 1h) and aggregation method.
  3. Set thresholds: Define per-metric thresholds and cross-resource correlation rules.
  4. Run checks: Trigger data collection and health scoring across selected resources and subscriptions.
  5. Review outputs: Inspect health status, trend indicators, and export reports in JSON/CSV for automation.
How to use monitor azure resources

Frequently Asked Questions

Find Quick Answers

What resources does this tool monitor?
The tool monitors Azure resources across supported types (compute, databases, networking, and storage) by ingesting signals from Azure Monitor and resource health APIs. It normalizes metrics such as CPU, memory, I/O, latency, and availability to produce a unified health assessment for each resource and for multi-subscription groups. It is designed for reliability engineers and cloud operators seeking cross-resource visibility.
What inputs are required to run it?
Required inputs include a valid Azure identity with access to the target subscriptions, a list of resource types and resource groups to monitor, and the specific metrics to collect. Optional inputs include time window, aggregation method, and alert thresholds. The tool uses these inputs to compute health scores and generate exportable outputs for automation.
What outputs are provided and in what format?
Outputs include per-resource health status, utilization metrics, and trend indicators, plus cross-resource correlations. Results are provided in machine-friendly formats such as JSON and CSV for integration with automation scripts, runbooks, or reporting workflows. The tool emphasizes structured data suitable for programmatic consumption rather than a UI-centric presentation.
Where does it operate best and how are time units handled?
The tool is designed for Azure regions and uses UTC timestamps for all metrics. Time units follow standard cloud metrics conventions (percent for utilization, MB/GB for storage, milliseconds for latency). It handles regional differences by normalizing units and aligning data to a consistent time axis to enable reliable cross-region comparisons.

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