What is watched
Monitoring and BI, separately
Servers and queues in one tool, last night's numbers in another.
With MetricMonitor
The flow and the business figure it produces, on the same screen.
Real-time operations & business metrics
When the number moves, you can see why.
MetricMonitor puts business KPIs and the systems that produce them on one screen. When fill rate drops or claims slow down, the feed that stalled is on the same dashboard, not in a different tool owned by a different team.
What is in the box
Role-based dashboardsEach team sees its own view of the same underlying metrics
Threshold & anomaly alertsRouted to email, chat or your incident tool
SLO & SLA trackingCurrent position and the trend behind it
Ingestion & normalisationApplications, pipelines, infrastructure and business systems
- Business metrics and pipeline health together
- Alerts routed to where the team already works
- Connects over REST, webhooks and streams
What it does
You already have monitoring. You already have dashboards.
The gap is between them. Infrastructure tools watch systems and know nothing about the business number; reporting tools watch the number and know nothing about the system. The two-day gap between a KPI moving and someone finding the cause lives in that space.
| The question | Monitoring and BI, separately | With MetricMonitor |
|---|---|---|
| What is watched | Servers and queues in one tool, last night's numbers in another. | The flow and the business figure it produces, on the same screen. |
| When you find out | At the morning report, or when a customer calls to tell you. | When the threshold breaks, with what changed and when. |
| Finding the cause | Two tools, two timelines, and a meeting to line them up. | One timeline, so the stalled feed sits next to the dip it caused. |
| Who can read it | A dashboard per team, each in a tool that team owns. | Role-based views built from one set of metric definitions. |
| Proving the SLA | Assembled from exports when somebody asks for it. | Tracked continuously, with the history already there. |
When you find out
Monitoring and BI, separately
At the morning report, or when a customer calls to tell you.
With MetricMonitor
When the threshold breaks, with what changed and when.
Finding the cause
Monitoring and BI, separately
Two tools, two timelines, and a meeting to line them up.
With MetricMonitor
One timeline, so the stalled feed sits next to the dip it caused.
Who can read it
Monitoring and BI, separately
A dashboard per team, each in a tool that team owns.
With MetricMonitor
Role-based views built from one set of metric definitions.
Proving the SLA
Monitoring and BI, separately
Assembled from exports when somebody asks for it.
With MetricMonitor
Tracked continuously, with the history already there.
How it fits together
Everything that produces a number, in one place
We ingest and normalise the metrics, evaluate them against the thresholds you define, and deliver them to whoever needs them, in the tool they already use.
Scroll the diagram sideways →
Capabilities
Three things it has to get right
A dashboard nobody trusts, an alert nobody acts on, and a connector that needs a project each time are the three ways this kind of tool fails.
Dashboards
A view per team, off one set of numbers
Operations, quality and leadership each get a layout built for them, drawing on the same metric definitions, so nobody is arguing about whose figure is right.
- LayoutFlexible arrangement and filters per audience
- ScopeOperational, customer experience and business performance together
- ConsistencyOne definition behind every version of a metric
metricmonitor · dashboard
Alerts
Sent where the team already is
Thresholds and composite conditions, routed to email, chat or your incident tool, carrying what changed and when rather than only that something did.
- ConditionsFixed thresholds and composite rules across metrics
- AnomaliesMovement outside the normal pattern, not only a fixed line
- RoutingEmail, chat or incident tooling, by team and severity
metricmonitor · alerts
Ingestion
Connect what you have, without a pipeline project
Metrics arrive from ERP, CRM, EHR and line-of-business systems as well as cloud services, and we normalise them so signals from different places can be compared on the same axis.
- SourcesBusiness systems, applications, pipelines and cloud services
- NormalisationAggregated into one shape for correlation
- EffortConfiguration against standard interfaces rather than custom code
metricmonitor · sources
Under the hood
What it connects with
Standard interfaces on the way in and the tools your teams already use on the way out.
Ingestion
REST APIsWebhooksReal-time streaming
Sources
ERPCRMEHRLine-of-business systemsCloud services
Delivery
EmailChatIncident tools
Who uses it
Four teams, one set of numbers
It is deployed in healthcare, retail, manufacturing and logistics, where an operational problem becomes a commercial one within hours.
Operations
The live view, and an alert that arrives before the phone call does.
Live dashboardsQuality & customer experience
Outcome measures tracked continuously rather than assembled for a review.
SLO trackingData and analytics
One definition per metric, so the same question does not get three answers.
Metric definitionsLeadership
The same figures the operating teams are looking at, not a version re-cut monthly.
ReportingQuestions
Answers before you ask
Infrastructure monitoring tells you a service is healthy. It cannot tell you that fill rate has dropped, because it does not know what fill rate is. MetricMonitor holds both, so the stalled feed and the business number it feeds sit on one timeline. If your existing tooling already does that, you may not need this.
Get started
Request a demo
Tell us which number you are trying to watch and we will schedule a short walkthrough of MetricMonitor.
- A dashboard built around a metric you actually care about
- What an alert looks like when it reaches your team
- A sequenced plan with effort ranges, written for your team