From the scan station to the exported batch in Datacap — observed, assured, self-healed.
IBM Datacap is the capture front door for the documents your business runs on — invoices, claims, forms, and mail arriving by scan, fax, and email, then classified and extracted by RuleRunner and exported to your systems of record. When TaskMaster slows, a RuleRunner process stalls, or batches age past SLA, work piles up at the door and downstream processes starve. Reveille pioneered Content Observability to catch that: continuous coverage of TaskMaster, RuleRunner, the Datacap databases, capture input and export, and batch processing — plus real user analytics and self-healing built in.
Agentless — pre-configured for IBM Datacap Capture, on-premises or in the cloud.
Enterprises can monitor infrastructure. What they can't see is Datacap.
Datacap is a deep, multi-tier capture stack — TaskMaster Server, RuleRunner, Scan Station, the Datacap Web Client, and the Administration, Engine, and Fingerprint databases on SQL Server. Infrastructure tools see the servers and the database. What they can't see is whether batches are being created and exported, whether RuleRunner is actually processing, or whether batches are aging past SLA — the things that actually drive documents captured and work delivered downstream.
That layer is where silent failures live. A RuleRunner process stalls. Batches age past 48 hours unnoticed. A capture input share stops moving files. The export target goes unavailable and finished batches pile up. A downstream ERP, content repository, or AI process starves — not because the model is wrong, but because the captured documents feeding it never arrived.
What infrastructure tools see
The servers ping, the database is up, the services show "running." Every host check is green — and RuleRunner can still have stopped processing batches.
What Reveille sees
RuleRunner stalled, batches aging past SLA, a stuck input file share, problem and aborted batch counts climbing, and abnormal Content Navigator access — the Datacap-level signals that precede a missed close or a starved downstream process.
Why it matters
Platform availability is not capture availability. Reveille measures the difference — at the TaskMaster, RuleRunner, batch, and user-activity level — and self-heals before it reaches a ticket.
Every layer of the Datacap stack. Application-aware.
50+ prebuilt, application-aware tests cover the components that actually drive Datacap service levels — not generic endpoint pings. An agentless IBM Datacap monitor and template test library spin up a working monitor in minutes, drawn from a library that already understands the TaskMaster, RuleRunner, batch, and capture model. Zero relearning.
Every Datacap server reachable
The TaskMaster, database, web, file, RuleRunner, and Report Viewer servers all respond — the first signal that the Datacap capture stack is up.
TaskMaster ready to process work
TaskMaster services, web site, and web services, disk free space, available memory, and CPU processor time — plus Windows event log checks for RuleRunner and TMweb.net errors and a TaskMaster service-log search.
Taskmaster databases answering
The Administration, Engine, and Fingerprint databases each respond to query, with size and backup checks, plus SQL Server services — the data tier behind every batch and fingerprint.
Work arriving at the door
Input file-share total and aged file counts, email-folder item counts, and Scan Station and Datacap Web Client availability — proving documents are flowing in and the front end is up.
Batches and tasks flowing
Verify and Export task counts, current and completed batch counts, batches created, grabbed, and released, total batches exported, and batches created or exported within one day — the real throughput of the line.
Stuck batches surfaced early
Batch aging past 48 hours, problem, aborted, canceled, hold, offline, pending, and unprocessed counts, plus long-running index and upload batches by operator and station — so a stall stands out before it breaches SLA.
Exports actually landing
Export database connection, export file-share total file count, and export file-share aged file count — proving finished batches reach the systems of record and don't pile up at the exit.
KPIs from the IBM Listener
ADO database open, execute, and close activity, file open and close activity, user login and logoff, and login time — any of hundreds of IBM Listener counters saved as a measurable metric.
Alert. Drill in. Resolve.
Detection is half the job. Reveille closes the loop — from a single threshold breach to a root-cause view in the affected server, RuleRunner process, batch, or export target.
Anomaly detected
AI/ML dynamic thresholds learn normal Datacap patterns and cut alert noise from workload variation.
Context-packaged alert
Notifications arrive with the metrics, affected components, and troubleshooting data attached.
Self-healing remediation
When thresholds breach, Reveille can automatically trigger recovery actions — resolving issues before the ticket queue fills.
Datacap operational KPIs, out of the box.
Reveille's IBM Datacap dashboard metric engine turns TaskMaster server, batch, and capture signals into measurable key performance indicators — tracked, charted, and reported through Datacap-aware dashboards. Over 50 metrics ship out of the box, drawn from hundreds of IBM Listener counters.
- Track batch processing levels, batch creation, completion, and export throughput
- Watch batch aging, problem, hold, offline, and pending batch counts in real time
- Monitor TaskMaster server performance, ADO database activity, and station-use counts
- Dynamic threshold detection powered by machine learning
Who accessed what — and when it looks wrong.
Reveille uses patented collectors to observe the actual user experience and activity across IBM Content Navigator-based Datacap applications — out-of-band, never capturing passwords. It surfaces user adoption and response times, and flags suspicious or abnormal access that can signal an insider threat or a content access breach.
- See who accessed which document and when — for audit, compliance, and capacity reviews
- Detect abnormal access: same user from different IPs, different users from one IP, unusual document-access volume
- Rapidly identify user response-time service-level issues in Content Navigator-based Datacap apps
- Reduce mean time to threat detection with endpoint integration such as Microsoft Defender for Endpoint
Works with your existing stack.
Extend IT operations management (ITOM), security, and AI investments — no rip and replace.
One platform. Three teams.
Reveille translates Datacap signals into the language each team needs — IT operations, business owners, and managed service providers.
Stop flying blind on Datacap health.
50+ agentless Datacap tests and 50+ dashboard metrics across TaskMaster, RuleRunner, the databases, and capture input and export — AI/ML dynamic thresholds and self-healing before the ticket queue fills, in one pane of glass.
Service Level Assurance on the capture line business runs on.
Reveille catches failures before a stalled batch becomes a missed close, a failed audit, or a broken customer promise.
Manage every customer Datacap environment through one pane.
Reduce support burden, prove value, and expand managed services with visibility your clients can see too.
Questions, answered.
What is Reveille for IBM Datacap?
How is this different from Datacap's own admin tools and dashboards?
Is Reveille for IBM Datacap agentless?
Does Reveille support Datacap on-premises and in the cloud?
Which Datacap components does Reveille monitor?
How many tests does Reveille provide for Datacap?
Can Reveille detect stalled RuleRunner processing or aging batches?
Does Reveille self-heal Datacap issues?
Can Reveille tell who accessed which document and detect abnormal access?
Does Reveille monitor batch aging and stuck batches?
How does Reveille handle Datacap capacity planning?
What about security and audit monitoring for Datacap?
Does Reveille integrate with our existing tools?
Will Reveille work in a secured or cloud environment?
How quickly can we get value from Reveille for Datacap?
What Reveille customers actually see.
Across ECM, IDP, and automation platforms — measurable Service Level Assurance, not best effort.
Self-healing automation and earlier detection cut the firefighting load in half — or better.
Manual checklists, status meetings, and after-the-fact troubleshooting replaced by proactive observability.
The content layer is where your business runs. Reveille makes sure it holds.
See Reveille for IBM Datacap in your environment. Live demo, real Datacap data.
Reveille for IBM Datacap Resources
IBM Datacap Rulerunner Service Keeps Stopping: Causes and Fixes
Quick answer The IBM Datacap Rulerunner service usually stops for one of five reasons: consecutive aborted batches tripping its stop-on-abort protection, a lost connection to the Datacap Server (TMS), unbounded process memory growth, a service-account problem, or a...