Reveille Monitoring | Content Observability for ECM, IDP & Automation
Content Observability · Monitoring

Total visibility for every content and document process — before automation breaks.

Reveille Monitoring turns complex document, content, and automation workflows into fully observable, predictable ecosystems — eliminating blind spots, reducing noise, and surfacing issues before they cascade into failures. It is the foundational capability of Content Observability, and the only monitoring purpose-built for intelligent automation.

Monitor. Analyze. Connect.DashboardsCONTENT MANAGEMENTOverviewMonitoringDocument HealthPerformanceStorageSystem DashboardsReportsAdministrationLogsUser SettingsReveilleAboutFeedbackHelpContent ManagementMonitoring13/15 healthy · 2 healingVisuals ▾HEALTHY13 /15 servicesWARNINGS2 database, performanceTHROUGHPUT12.6k docs/hr · last hrAVG LATENCY89 ms · p50DatabaseApplicationServerClientSearchCaptureSystem ProcessingConnectivityPlatformWeb ClientPerformanceUsageSecurityUser ActivityContent ManagementHealthyHealingCore service
The blind spot

Infrastructure tools tell you the server is up. They can’t tell you the workflow is broken.

Your IT team can watch server health, CPU, and uptime. What they can’t see is what’s happening to the documents and workflows inside your content platforms — the invoices, claims, and audit packages that drive the business. A repository API can read 99.99% while the capture batch stalls before payroll closes. Platform SLA is not workflow SLA.

01

Infrastructure monitoring ≠ content health

CPU, memory, and uptime tell you the server is running. They don’t tell you whether the capture batch progressed, the classification step passed, or the automation bot completed. Most content failures live above the OS — in the application layer generic tools can’t see.

02

Silent failures live in the workflow

A content failure rarely shows up as a CPU spike. It surfaces as a delayed invoice, a stalled claim, a missed retention deadline, or a failed audit pull — by which point the damage is downstream and the business is asking IT what happened.

03

Vendors grade their own homework

Each platform reports on its own availability. Reveille is the independent record of your content service levels across every platform — the verification audit, risk, and compliance teams can rely on, from a measurement layer loyal to the customer.

Comprehensive coverage

Visibility into every platform you run

Over 1,000 prebuilt monitoring tests aimed at the ECM, IDP, and automation service-level problem areas that actually break.

  • ECM health — repository performance, workflow backlogs, API and integration uptime, database and indexing health, background process failures, and security/audit alerts
  • IDP & capture — ingestion throughput, OCR and classification accuracy, extraction failures, stalled batches, connector/API issues, and queue backlogs
  • Automation bots — bot health and availability, queue and workload backlogs, automation failures, and credential or policy errors
  • Pre-built tests for every major platform — Hyland, ABBYY, OpenText, IBM, Tungsten, Microsoft, UiPath, and Box
Monitor. Analyze. Connect.DashboardsCONTENT MANAGEMENTOverviewMonitoringDocument HealthPerformanceStorageSystem DashboardsReportsAdministrationLogsContent ManagementService Health14/15 healthyVisuals ▾HEALTHY14 /15 servicesWARNINGS1 extractionTHROUGHPUT12.6k docs/hr · last hrAVG LATENCY89 ms · p50Repositoryresp 1.2s · okWorkflow Enginebacklog 240REST / APIp95 240msFull-Text Indexindex lag 0sDatabaseconns 12/50Web Client1,240 sessionsCapturequeue 96Classificationacc 96.4%Extraction2 failuresAutomation BotsrunningBackground JobsokConnectivityokStorage61% usedSecurity & AuditcapturingSearchp95 110ms
Predictable service levels

Turn operational noise into assured service levels

Reveille captures service-level data automatically and turns it into compliance-ready reporting.

  • SLA visibility with real-time health visuals, analytics, and compliance-ready reporting
  • Service-level data captured automatically — user, memory, transaction, and CPU levels, plus capture operating performance
  • Proactively assure service levels with automated self-healing and early notifications
Monitor. Analyze. Connect.DashboardsCONTENT MANAGEMENTOverviewMonitoringDocument HealthPerformanceStorageSystem DashboardsReportsAdministrationLogsUser SettingsReveilleAboutFeedbackHelpContent ManagementPerformanceLast 24h · 2 serversVisuals ▾HEALTHY15 /15 servicesSLA ATTAINMENT99.2% · target 98%THROUGHPUT12.6k docs/hr · last hrAVG LATENCY76 ms · p50Transactions / min across serversIA76-RS-001IA76-RS-00205010015020000:0004:0008:0012:0016:0020:00Errors / failures (count)0510152000:0004:0008:0012:0016:0020:00Recent eventsTIME VALUE SERVER13:421.8sIA76-RS-00113:41queue 318IA76-RS-00213:39timeoutIA76-RS-00213:350.9sIA76-RS-00113:301.1sIA76-RS-001SLA attainment · 30-day99.2%30-day · target 98%target 98%30d ago15d agotoday
Earliest warning

Pinpoint issues before automation breaks

Detect the early-warning signals across ECM, IDP, and automation that precede a failure.

  • Detect early-warning signals — slow queries, queue backlogs, ingestion delays, stalled workflows, and API degradation — before they cascade
  • Spot anomalies automatically with AI/ML dynamic thresholds (Prophet and Neural Prophet) that flag unusual patterns, latency spikes, and throughput drops
  • Surface root causes through deep visibility into repositories, databases, connectors, OCR engines, bot runtimes, and background services
Monitor. Analyze. Connect.DashboardsCONTENT MANAGEMENTOverviewMonitoringDocument HealthPerformanceStorageSystem DashboardsReportsAdministrationLogsUser SettingsReveilleAboutFeedbackHelpContent ManagementEarly-Warning Detection3 signals · pre-breachVisuals ▾HEALTHY13 /15 servicesWARNINGS3 early-warning signalsTHROUGHPUT10.8k docs/hr · last hrAVG LATENCY142 ms · p50Dynamic threshold breached · ingestion latency142 ms observed · forecast band 60–95 ms · AI/ML Prophet · MAPE 4.1% · detected 13:41Ingestion latency vs. dynamic threshold04590135180−60m−45m−30m−15mnowforecast upper bound142 msEarly-warning signalsIngestion latency142 ms · breach forecastSearch query p954.8 s · rising vs. bandWorkflow queuebacklog 318 · climbingExtraction errors2 in 10 min · above normBot retry rate6% · within band
Why Reveille

It only works if it always works.

Monitoring is the foundation of Service Level Assurance — and the difference between platform uptime and workflow uptime. Platform SLA is not workflow SLA; Reveille measures the difference.

Part of a broader platform

One observability layer across every platform you run

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

Questions

Reveille Monitoring, answered

What is Reveille Monitoring?
Reveille Monitoring is the foundational capability of Reveille's Content Observability platform. It continuously monitors, alerts, self-heals, and reports on the health of ECM, IDP, and automation workflows using more than 1,000 prebuilt, application-aware tests — helping organizations prevent SLA breaches and keep business-critical content operations running.
How many monitoring tests does Reveille include?
Over 1,000 prebuilt tests, targeting the ECM, IDP, and automation service-level problem areas that most often break — repository performance, capture throughput, bot health, API and integration uptime, indexing, and background processes.
Which platforms can Reveille monitor?
Hyland (OnBase, Alfresco, Hyland RPA), ABBYY, OpenText, IBM, Tungsten Automation, Microsoft (SharePoint, Copilot, M365), UiPath, and Box — across cloud, hybrid, and on-prem deployments.
Is Reveille Monitoring agentless?
Yes. Reveille is a zero-footprint, application-aware solution that does not change the state of, or hold a persistent connection to, the monitored system. For user activity it uses passive, out-of-band collection — not a man-in-the-middle proxy — and it never captures user passwords.
Can Reveille Monitoring run in the cloud?
Yes. Reveille runs on-premises or in AWS, Azure, and Google Cloud, with sidecar collectors in Amazon EKS, Azure AKS, and RedHat OpenShift. It is cloud-native by design and deployment-agnostic by choice.
Does Reveille replace Splunk, Datadog, or New Relic?
No. Those tools watch infrastructure and code; they do not understand ECM and IDP transaction semantics. Reveille produces the content-layer signal they cannot generate on their own, then feeds it into them through native integrations — so your existing dashboards get richer, not displaced.
How does Reveille alert and create incidents?
Reveille integrates natively with ServiceNow, Jira, Splunk, PagerDuty, Datadog, BigPanda, Microsoft Teams, Slack, SMTP email, SNMP, AWS CloudWatch and SNS, Azure Monitor and Sentinel, and OpenTelemetry-compliant tooling — and can open and automatically close incidents as service levels recover.
Does configuring monitors require code?
No. Monitors are configured, not coded. Reveille ships prebuilt, platform-aware tests you enable and tune — no custom scripting required.
How does Reveille detect anomalies?
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).
How does Reveille report on availability and SLAs?
Reveille calculates monitor and group availability and service-level attainment — with allowed-downtime and SLA-grouping options — delivered through the Reveille User Console or scheduled batch reports, and visualized in Microsoft Power BI with trusted data connectors.
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.