Reveille for IBM Datacap
Provide comprehensive visibility to your capture environment and actively avoid process errors.
- Cloud, on-Prem, or Hybrid Deployment
- Configure / No Code
- Agentless
Reveille for IBM Datacap provides agentless management and monitoring capabilities to ensure the continued health of Datacap platforms. Proactively manage your environment to avoid capture operation issues.
Process Metrics
- Check verify task count
- Check export task count
- Check current batch count
- Check current batch completed count
- More
Process Exceptions
- Check batch aborted count
- Check batch canceled count
- Check batch hold count
- Check batch offline count
- More
Scan Station
- Check Datacap client station machine
- Check Datacap web client service
- More
Platform
- Check TaskMaster services
- Check TaskMaster disk free space
- Check Task Master available memory
- Check windows event log for rulerunner service errors
- More
Capture Input
- Check input file share total file count
- Check input file share file age count
- Check email folder for number of items
- More
Capture Output
- Check export database connection
- Check export file share total file count
- Check export file share file age count
- More
Server Metrics
- Check ADO database open activity
- Check ADO database SQL execute activity
- Check ADO database close activity
- Check file open activity
- More
System
- Check TaskMaster app pool memory usage
- Check RuleRunner process memory usage
- Check RuleRunner executable memory usage
- Check RuleRunner process count
- More
Know if real Datacap user activity is responsive
IBM Datacap User Analytics continuously observes user batch creation and document indexing experience built with your IBM Content Navigator based IBM Datacap applications.
- ^Report real user response time usage and service level issues
- ^Detect and alert personnel of suspicious user activity
- ^Reduce mean time to threat detection and time to respond by correlating user, repository, and infrastructure information
Common IBM Datacap use cases
- ^We need to detect and resolve hung batches ASAP
- ^Are batches processed within SLA terms?
- ^Are batches created in a timely manner?