Content Observability · Metrics

Know exactly how every content and document process is performing — measured, not guessed.

Reveille Metrics turn operational data into business-critical insight — more than 1,000 prebuilt metrics that continuously measure the health, performance, and reliability of every ECM, IDP, and automation process, so you can prove service levels, reduce risk, and decide with confidence. Measurement is the proof layer of Content Observability.

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Monitor. Analyze. Connect.DashboardsSYSTEM DASHBOARDSSystem StatusMonitorsMetricsGroupsServersSystem DashboardsReportsAdministrationLogsUser SettingsReveilleAboutFeedbackHelpContent Services — Metrics17/21 healthy · 2 warnings · 2 healingVisuals ▾DiagramStatusLogResponse TimesIncidentsNotificationsMetricsHEALTHY17 /21 monitorsWARNINGS2 Unity, ClientHEALING2 Performance, APTHROUGHPUT18.2k docs/hr · last hrAVG LATENCY112 ms · p50live · refreshed 04:21 UTCLive metrics · ECM, IDP & automationSampled continuously, rolled up to availability, performance, and SLADOCUMENTS / HR18.2kthroughput▲ 6%AVG COMPLETION4.2min per doc▼ 11%QUEUE DEPTH96docs waiting▲ risingEXCEPTION RATE0.4% in last 24h▼ 0.3ptCPU UTILIZATION38% across 8 serversnominalMEMORY61% in usenominalRESPONSE p95240ms web clientstableLICENSE USAGE78% of entitled▲ plan ahead
The measurement gap

Availability is one number. Whether the work actually got done is a different one.

A platform can report 99.99% availability while invoices sit in a backlog, OCR jobs misclassify, and bot queues quietly age past their service level. Reveille Metrics measure what actually happened to the content — throughput, completion times, exception rates, and service-level attainment across every platform. Platform SLA is not workflow SLA.

01

A green dashboard is not a met SLA

Uptime says the service answered. It doesn’t say the invoice cleared, the batch finished before payroll, or the bot completed. Reveille measures completion, throughput, and service-level attainment — not just whether the server was up.

02

What you can’t measure, you can’t prove

Audit, risk, and compliance need evidence, not assurances. Reveille turns operational data into compliance-ready proof — availability %, allowed-downtime-adjusted service level, and resolution times you can put in front of a regulator.

03

Thresholds that learn the workload

Static thresholds alarm at midnight and miss the slow afternoon drift. Reveille AI forecasts dynamic upper and lower bounds from history (Prophet and Neural Prophet) and tracks accuracy with MAPE — so the numbers flag what actually matters.

Reliability & resource truth

Reveal the operational truth behind your platform’s reliability

Continuous measurement of the health, capacity, and dependencies that decide whether your platform actually holds.

  • Application availability, service health, and system dependencies, measured continuously across every monitored resource
  • Resource utilization across servers, databases, services, and integrations — user, memory, transaction, and CPU levels
  • Capacity and growth indicators to support scaling, modernization, and migration planning
  • License usage and consumption trends to prevent processing bottlenecks or overruns before they stall the queue
Monitor. Analyze. Connect.DashboardsSYSTEM DASHBOARDSSystem StatusMonitorsMetricsGroupsServersSystem DashboardsReportsAdministrationLogsUser SettingsReveilleAboutFeedbackHelpContent Services — Metrics17/21 healthy · 2 warnings · 2 healingVisuals ▾DiagramStatusLogResponse TimesIncidentsNotificationsMetricsHEALTHY17 /21 monitorsWARNINGS2 Unity, ClientHEALING2 Performance, APTHROUGHPUT18.2k docs/hr · last hrAVG LATENCY112 ms · p50live · refreshed 04:21 UTCUtilization · user, memory, transaction & CPUCPU level41%Memory level63%Transaction load58%Storage used61%DB connections36%Content volume · 12-month growthJanDec · +119%License consumption · projected to limit3,920 of 5,000 entitled · 78%limit
Process performance & SLA

Tie throughput and completion times to service-level outcomes

Reveille measures how fast work moves and where it stalls, then turns it into compliance-ready service-level reporting.

  • End-to-end visibility into document, content, and transaction throughput
  • Queue depth, backlog, and aging metrics that surface delays before SLAs are breached
  • Processing speed and completion times across workflows, capture stages, and automation steps
  • Service-level attainment — available minutes over monitored minutes less allowed downtime — in the Reveille User Console, scheduled reports, or Microsoft Power BI
Monitor. Analyze. Connect.DashboardsSYSTEM DASHBOARDSSystem StatusMonitorsMetricsGroupsServersSystem DashboardsReportsAdministrationLogsUser SettingsReveilleAboutFeedbackHelpContent Services — Metrics17/21 healthy · 2 warnings · 2 healingVisuals ▾DiagramStatusLogResponse TimesIncidentsNotificationsMetricsHEALTHY17 /21 monitorsWARNINGS2 Unity, ClientHEALING2 Performance, APTHROUGHPUT18.2k docs/hr · last hrAVG LATENCY112 ms · p50live · refreshed 04:21 UTCMonthly availability · January 2026SMTWTFS199.14%299.06%399.33%499.46%599.39%699.08%799.74%899.20%999.85%1097.43%1194.08%1296.91%1399.11%1499.73%1599.52%1699.33%1799.06%1899.19%1999.39%2099.53%2195.83%2297.48%2399.52%2499.79%2599.26%2694.21%2799.68%2899.44%2999.60%3099.52%3196.94%≥98%<98%<96%not monitoredTotal up time 98.135% · total down time 1.865%Service level scorecardTargetMinActualService Level98%96%99.2%Systems Availability98%96%98.1%Avg Resolution Time156024 minAllowed Down Time0—0 minService level attainment · 30-day vs targettarget 98%30d agotoday
Experience, exceptions & risk

Catch exceptions and abnormal behavior before they become risk

Measure the user experience and the failure patterns that expose operational and compliance risk.

  • User activity and response-time metrics across web, client, and API-driven interactions — measured transaction by transaction with Reveille User Analytics
  • Exception rates, error patterns, and failed transactions across platforms and processes
  • Abnormal behavior and security-related activity to support audit and compliance needs
  • Historical insight into trends that expose operational risk before disruption occurs
Monitor. Analyze. Connect.DashboardsSYSTEM DASHBOARDSSystem StatusMonitorsMetricsGroupsServersSystem DashboardsReportsAdministrationLogsUser SettingsReveilleAboutFeedbackHelpContent Services — Metrics17/21 healthy · 2 warnings · 2 healingVisuals ▾DiagramStatusLogResponse TimesIncidentsNotificationsMetricsHEALTHY17 /21 monitorsWARNINGS2 Unity, ClientHEALING2 Performance, APTHROUGHPUT18.2k docs/hr · last hrAVG LATENCY112 ms · p50live · refreshed 04:21 UTCResponse-time distribution · user activity<0.5s18%0.5-1s34%1-2s27%2-3s12%3-5s6%>5s3%Exception & error rate · 24h24h agonowFailed transactions · recentTIME TYPE PLATFORM13:41OCR extraction failABBYY13:38Classification timeoutOpenText13:33Commit rejectedFileNet13:27Bot step exceptionUiPath13:19Index handoff lostOnBaseAbnormal behavior & security · auditOff-hours bulk exportflagged for reviewUnusual access patternuser svc-batchRepeated download spikeinvestigatingSuspicious content accessaudit logged
Metrics & User Analytics

Metrics tell you what the platform did. User Analytics tells you what your users lived.

Every metric on this page is measured from the platform side — availability, throughput, completion time, service level. Reveille User Analytics (RUA) measures the other side: the experience your platforms actually delivered. RUA is patented, passive real-user observability for Enterprise Content Management (ECM), Intelligent Document Processing (IDP), and automation applications. It observes the real HTTP and HTTPS transactions your users generate — every login, retrieval, check-in, and API call — and turns them into response-time evidence, security insight, and adoption truth. It extends Reveille Metrics from what the platform reports to what your users experienced.

01

Response-time evidence, not anecdotes

Median, average, and 90th-percentile response times measured from actual user transactions — with service-level attainment reported across all transactions and for the best and worst 10%. Response-time conversations start from a record, not a complaint.

02

Security signals hidden in normal traffic

Insider misuse looks like ordinary logins and retrievals — just more of them, from somewhere new. RUA flags suspicious content access by transaction frequency, user location, and access activity, and surfaces failed and suspicious logins by user and location.

03

Adoption you can actually prove

User adoption dashboards show who uses each application and how usage trends over time, backed by objective historical reporting on real transaction activity — so license, training, and rollout decisions rest on evidence instead of who complained loudest.

How it works

Four components. Nothing in the transaction path.

RUA captures web application packets with licensed capture libraries, parses them against application transaction profiles, and maps them into user-level transactions.

  • Passive collection from a switch mirror/span port, hypervisor port mirroring, a network segment, the application server itself, or a Docker sidecar in Amazon EKS, Azure AKS, or RedHat OpenShift
  • HTTP and HTTPS monitored together — decoded passively with your private key (RSA up to 4096-bit, TLS 1.2), never as a man-in-the-middle interceptor
  • Privacy by design — no user passwords are ever captured, field-level keep/drop rules govern sensitive data, and collector-to-server traffic is 256-bit AES encrypted
  • Application transaction profiles ship for eight platform families — ABBYY, Box, Hyland, IBM, Microsoft, OpenText, Tungsten Automation, and UiPath
Explore Reveille User Analytics →
FROM PACKET TO INSIGHT · NOTHING IN THE TRANSACTION PATH Your users Web & API clients HTTP / HTTPS mirrored 01 · RUA COLLECTOR Passive capture span port · server · sidecar 02 · REVEILLE SERVICE Parse · map transaction profiles 03 · RUA DATABASE SQL Server / Oracle MongoDB for high volume 04 · RUA CONSOLE Dashboards & reports publishes to Reveille Out-of-band · no user passwords captured · field-level keep/drop controls · 256-bit AES collector-to-server
Why Reveille

It only works if it always works.

Metrics are the proof layer of Content Observability — the difference between assuming a service level and proving it. Platform SLA is not workflow SLA; Reveille measures the difference.

Part of a broader platform

One observability layer across every platform you run

Reveille Metrics span every major Enterprise Content Management (ECM), Intelligent Document Processing (IDP), and automation platform — so every measurement feeds the same console as the rest of your stack.

Hyland OnBase · Alfresco OpenText Documentum · Capture IBM FileNet · Datacap · CMOD ABBYY FlexiCapture · Vantage Tungsten TotalAgility · Capture UiPath RPA assurance Microsoft SharePoint · M365 Box Content cloud
The platform

Explore the Reveille Observability Platform.

Metrics is one capability of a single platform. Eight work together to keep every ECM, IDP, and automation workflow observed, assured, and self-healed.

Monitoring

1,000+ prebuilt tests for ECM, IDP, and automation service-level problem areas.

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Metrics

See exactly how your automation is actually performing.

Self-Healing

Automated remediation actions for uninterrupted processes.

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AI / ML

Dynamic thresholds for accurate monitoring and smarter workflows.

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Alerts

The earliest-warning system for document and content processes.

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Dashboards

Visualize and quickly diagnose platform health.

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Infrastructure

A complete view of your automation ecosystem and every system it depends on.

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Integration

Seamless connection to the enterprise tools your team already uses.

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Questions

Reveille Metrics, answered

What is Reveille Metrics?
Reveille Metrics is the measurement capability of Reveille’s Content Observability platform. It continuously measures the availability, performance, throughput, and service-level attainment of ECM, IDP, and automation processes using more than 1,000 prebuilt metrics — turning operational data into compliance-ready proof, on every platform your business runs on.
How many metrics does Reveille provide?
More than 1,000 prebuilt metrics, spanning availability and service health, resource utilization, throughput and queue depth, processing and completion times, exception and error rates, user activity and response time, and capacity and license-consumption trends — across ECM, IDP, and automation platforms.
What kinds of metrics does Reveille capture?
Application and system availability; resource utilization across servers, databases, services, and integrations; throughput, queue depth, backlog, and aging; processing speed and completion times; service-level attainment; exception rates and failed transactions; user activity and response time; and capacity, growth, and license-consumption trends.
How does Reveille calculate availability and service levels?
Reveille calculates Monitor Availability as available minutes over the monitored period, and Service Level as available minutes over monitored minutes minus allowed downtime — at both the monitor and group level, with SLA-grouping credit for high-availability configurations. System Availability is reported separately across all monitored resources, regardless of SLA inclusion.
Which platforms can Reveille measure?
Hyland (OnBase, Alfresco, Hyland RPA), ABBYY, OpenText, IBM, Tungsten Automation, Microsoft (SharePoint, Copilot, M365), UiPath, and Box — across cloud, hybrid, and on-prem deployments.
Can I visualize Reveille metrics in Power BI?
Yes. Reveille shares metric data through native connectors to Microsoft Power BI with trusted data connectors and report templates, and exposes over 170 REST API methods using OAuth 2 — so metrics flow into the analytics and observability tools your team already uses.
How does Reveille set thresholds on metrics?
Reveille AI applies open-source Prophet and Neural Prophet models (MIT-licensed) to historical metric data to forecast dynamic upper and lower thresholds, replacing brittle static thresholds and reducing alert fatigue. Forecast accuracy is tracked with MAPE (Mean Absolute Percentage Error).
Does collecting metrics add load or risk to my platform?
No. Reveille is a zero-footprint, application-aware solution that does not change the state of, or hold a persistent connection to, the measured system. User-experience metrics use passive, out-of-band collection — not a man-in-the-middle proxy — and no user passwords are captured.
Where are metrics stored, and can it run in the cloud?
Reveille stores metric data in SQL Server, Oracle, or PostgreSQL — with MongoDB for high-volume user-analytics retention — and runs on-premises or in AWS, Azure, and Google Cloud, including managed databases such as Amazon RDS, Azure SQL, and Google Cloud SQL, with sidecar collectors in Amazon EKS, Azure AKS, and RedHat OpenShift.
How does Reveille measure the real user experience?
Through Reveille User Analytics (RUA) — patented, passive real-user observability that captures the actual HTTP and HTTPS transactions your users generate and maps them into user-level transactions. It reports median, average, and 90th-percentile response times and service-level attainment, flags suspicious content access by frequency and location, and shows genuine platform adoption. Nothing sits in the transaction path, and no user passwords are ever captured.
Do I need to write code to capture metrics?
No. Metrics are configured, not coded. Reveille ships prebuilt, platform-aware tests and metrics you enable and tune — including the ‘Include in SLA / Reports’ and Capture Process Metrics options — with no custom scripting required.
Get started

The content layer is where your business runs. Reveille makes sure it holds.

See how Reveille keeps the invoices, claims, audits, and customer documents your content operations run on always-on — with the evidence to prove it.

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