Resource Monitoring

On the [Resources > Resource Monitoring] page, you manage the resources CloudOps watches for unusual usage, and the anomaly-detection rules that decide when that usage counts as unusual. Where Resource Inventory answers what do I have, this page answers what is behaving oddly.

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Monitoring is switched on per target, not for everything you own. What can be monitored comes from the metric catalog, which currently covers GCP BigQuery. AWS and Azure appear as providers but have no catalog entries yet, so nothing can be selected under them.

The Monitored List

The bar at the top shows how many targets are being monitored. Search by resource or account, and narrow by provider.

ColumnDescription
ProviderThe cloud provider the target belongs to
ResourceThe monitored target, with its service and monitoring scope underneath
StatusThe current detection state — Normal while nothing is firing
RulesHow many detection rules exist, and how many are active
DetectionThe metric being watched and its sensitivity
MonitoringA switch to turn monitoring off for this target without deleting it

The leading columns stay pinned to the left while you scroll the table sideways, so a row’s identity never scrolls out of view.

The header also links out to [Resource Inventory], and opens the [Metric Catalog].

Exporting the List

[Export] on the toolbar turns what you are currently looking at into a file.

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Export is a toolbar button, not an item in the ⋮ menu. It used to be tucked into the overflow menu, where people did not find it.

Selecting it offers the two formats; choosing one starts the export.

FormatRow limit
Excel30,000 rows
CSV50,000 rows

The file is built from the filters you have applied and the columns visible on screen — narrowing the list narrows the file, and a column turned off in display settings does not appear in it. At least one column has to be on.

When the list is too big

Going over the row limit stops the export rather than silently truncating it, and you are told by how much. Narrow the filters — or turn off columns — and run it again.

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A row count under the limit does not guarantee the file builds. Wide columns can push the file over the size limit even when the rows fit, and a build that takes too long fails the same way. Both say so rather than producing a partial file.

The file downloads on its own once it is ready.

Metric Catalog

[Metric Catalog] lists the usage metrics that are available to monitor.

Metrics are grouped by service, each group headed by its provider badge and a count. Search covers metric, service, and provider at once, and All providers / All services narrow the list. The footer counts both what exists and what is live — 51 metrics · 50 active.

ColumnDescription
ServiceThe service the metrics belong to — the group heading, with the provider badge
MetricThe metric name, with the provider’s own metric identifier beneath
Resource typeThe resource type the metric applies to
Metric kindHow the value accumulates — for example Cumulative
UnitThe unit the value is measured in
Poll intervalHow often CloudOps reads the metric
StatusWhether the metric is available
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The catalog is read-only. It defines what monitoring is capable of, so it also decides which providers, services, and scopes appear on the Add monitoring screen.

Turning On Monitoring

Select [Add monitoring] to open a two-step form. The panel on the right tracks progress, lists what you need to decide, and previews the result.

Choose the target

Pick the Provider, then the Service. The badge beside Service states the monitoring scope that service uses.

Depending on that scope you then pick either an Account or a specific resource. For an account-scoped service such as BigQuery, all of that service in the selected account becomes the target — you are not choosing one dataset.

Set the detection

Choose the metric to watch and how sensitively — high, medium, or low.

A metric is required. Monitoring cannot be turned on without one, so this step is not skippable — there is no “watch everything” default.

The list offers only the metrics this particular resource can actually emit, matched from the catalog against the target you picked, and only those anomaly detection can work with. A metric that exists in the catalog but cannot be evaluated for anomalies is not offered here.

Turn it on

Select [Turn on monitoring]. The new target appears in the list and detection starts.

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Scope is a property of the service, not a choice you make. Some services are monitored per account and some per individual resource; the metric catalog decides which. The form tells you which one applies before you pick a target, and a resource-scoped target states the scope it covers on its own row rather than leaving you to infer it.

Where a service groups several resource types under one name, the catalog resolves them within that provider — RDS instances and Aurora databases, for example, are distinct targets rather than one lumped entry.

Target Detail

Selecting a row opens the target’s detail page. The header repeats the provider and the monitoring scope, and carries the switch that turns monitoring off.

Summary

Basic information states the account, service, monitoring scope, region, how many detection rules exist, and whether monitoring is on.

The card beside it lists the resources of that service in the account. It is a reference list, there to make the scope concrete — with account-scoped monitoring, every one of those resources is covered. [View all in inventory] opens the same set in Resource Inventory.

Rules

Each rule watches one metric, and each rule states in a sentence what it flags. Sensitivity is the only setting you normally touch.

SettingMeaning
SensitivityHow far outside the usual range a value has to move — high, medium, or low
WindowThe span of time the value is judged over
SustainHow long the value has to stay out of range before it counts
CooldownHow long to wait after firing before the rule can fire again

Each rule can be switched off, edited, or deleted from its own row, and [+ Add rule] adds another metric to watch.

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Window, Sustain, and Cooldown are advanced settings. They exist to stop one brief spike from raising an event, and to stop a single ongoing problem from raising the same event over and over.

Anomalies

Metric monitoring charts the metrics being watched. Choose the bucket size — Minute, Hour, or Day — and drag the slider to change the range between 1d, 7d, 14d, and 30d. Each series is drawn separately and named by the provider labels it came from.

Anomaly events lists what actually fired, most recent first. Windows judged anomalous are marked on the chart above so you can see the event in its context rather than as a row on its own.

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Buckets with no activity are read as zero rather than skipped. A resource that sits idle and then jumps is exactly the pattern this is meant to catch, and it would be missed if quiet periods left gaps in the series.

Cost

The Cost tab answers what the monitored target is spending.

FilterDescription
PeriodThis month, Last month, 90 days, or Custom with your own start and end dates
CurrencyShow the amounts in KRW or USD

Three figures sit above the chart — the sum of the settled days so far, the projected month-end total, and a forecast confidence.

This month’s cost draws the cumulative settled cost as a solid line and continues it to month end as a dashed forecast, with an expected range around it. Daily settled cost lists the same days underneath.

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Days with no cost are left out of the response rather than filled with zero: the table skips them, the cumulative line stays flat across them, and the stretch after the last settled day is simply not drawn. When there is too little history to forecast, the projection is left blank with the reason shown instead of being reported as zero.

Turning Monitoring Off

The switch in the Monitoring column, and the one in the detail header, stop detection for that target while keeping it in the list with its rules intact. Turn it back on and detection resumes.

Supported Targets

Monitoring covers the services registered in the metric catalog, and that set grows over time. As of this release it includes GCP BigQuery and, newly, AWS EC2 and AWS RDS.

The catalog is the authoritative list — open [Metric Catalog] from the page header to see what is currently available rather than relying on a list written here.

Related

The resources being watched are collected through Cloud Account and listed in Resource Inventory. Anomalies raised on AI assets are handled separately, under AI Monitoring.

v1.7.0