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ComponentsCode ProfilerEngineJS ProfilerRPA Bot RecorderRUM JS
Availability2014.1 or later

Before you begin

Components to deploy first

Business-process monitoring

Measuring full Siebel workflows

Synthetic monitoring

Scheduled scenario testing

Additional capabilities

Extra uses for telemetry

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Overview

GermainUX is preconfigured to monitor Oracle Siebel CRM and can be customized across data collection, user experience, business processes, errors, code execution, analytics, alerting, automation, and dashboards. Begin by defining every monitored layer of the Siebel environment as a GermainUX data source. Once the data sources are enabled and assigned to the appropriate GermainUX components, the preconfigured Siebel KPIs and monitoring rules begin processing the collected telemetry. Feature availability: GermainUX 8.6.0 or later

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Before you begin

Deploy the components required for the monitoring capabilities you want to enable. See Oracle Siebel CRM Monitoring Deployment.

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Configuration workflow

A complete Siebel monitoring configuration generally follows this sequence:
1

Define the Siebel application and its environment

2

Declare the monitored infrastructure and application layers as data sources

3

Assign each data source to a GermainUX Engine or browser-side monitoring profile

4

Configure credentials and connectivity

5

Enable the required monitoring capabilities

6

Validate that the expected telemetry is collected

7

Configure KPIs, rules, SLAs, and alerts

8

Apply data-privacy controls

9

Configure dashboards, analytics, and automated actions

10

Validate the complete configuration with representative user and technical scenarios

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Declare the Siebel topology

Define each monitored layer as a separate data source where applicable. Use consistent names across GermainUX, Siebel, infrastructure monitoring, and operational procedures. For example:

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Configure data sources

For each data source:
1

Enter a descriptive name

2

Select the correct data-source type

3

Associate it with the Siebel application and environment

4

Assign the GermainUX Engine or monitoring profile

5

Configure the endpoint, host, path, or connection information

6

Select a stored credential when authentication is required

7

Set the collection frequency

8

Enable the data source

9

Test connectivity when a test function is available

10

Verify that its KPIs receive data

Avoid embedding credentials directly in queries, scripts, URLs, or configuration text.

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Application monitoring

Configure application monitoring to correlate the health and performance of the complete Siebel environment. This may include:
  • Siebel application availability
  • Server and component status
  • Task and session volume
  • Resource utilization
  • REST API availability
  • Log errors
  • Database performance
  • User-experience telemetry
  • Synthetic transaction results
See Application Monitoring for Oracle Siebel CRM.

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User Monitoring and Session Replay

Configure Real User Monitoring to capture actual Siebel usage and performance. Review settings for:
  • Application and URL matching
  • User identification
  • Session identification
  • Page, screen, view, and applet naming
  • Click and interaction monitoring
  • Network-request monitoring
  • Error collection
  • Session Replay
  • Capture scope
  • User or group inclusion
  • Data masking and exclusion
  • Sampling and data volume
See User Monitoring and Session Replay for Oracle Siebel CRM.

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Business-process monitoring

Configure business processes to measure complete Siebel workflows rather than isolated pages or clicks. Common examples include:
  • Lead to Opportunity
  • Opportunity to Order
  • Service Request open to close
  • Account or Contact creation
  • Customer onboarding
  • Quote or approval workflow
  • Case escalation
  • Order submission
A business-process definition should identify:
  • Start condition
  • Completion condition
  • Ordered or optional steps
  • Expected duration
  • Overrun threshold
  • Drop-off or abandonment conditions
  • User and organizational context
  • Success and failure outcomes
See Business Process Monitoring for Oracle Siebel CRM.

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Error monitoring

Configure error monitoring to detect and distinguish:
  • Browser and JavaScript errors
  • User-facing application errors
  • User validation messages
  • Siebel server and component errors
  • Integration failures
  • Database errors
  • Workflow failures
  • Repeated or correlated errors
Use separate KPIs where operational failures must be distinguished from expected user-validation feedback. See Error Monitoring for Oracle Siebel CRM.

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Crash monitoring

Configure the GermainUX Engine to detect and analyze Siebel crashes through available files and events, including:
  • Core dumps
  • FDR files
  • Crash-related logs
  • Component termination events
  • Restart activity
  • Related errors and exceptions
Confirm that the Engine service account can read the applicable diagnostic directories. See Crash Monitoring for Oracle Siebel CRM.

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eScript and browser diagnostics

Configure the JS Profiler when detailed JavaScript, eScript, browser, and network evidence is required. Limit profiling to the users, environments, pages, and time periods required for troubleshooting. Detailed profiling typically produces more data and overhead than continuous RUM. See eScript and Browser Real-Time Debugger for Oracle Siebel CRM.

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Outlier detection

Configure outlier detection to identify behavior that differs significantly from the normal baseline. This can help detect:
  • Abnormally slow user interactions
  • Unusual server or component response times
  • Unexpected transaction volumes
  • Spikes in errors
  • Atypical users, views, or workflows
  • New or degraded segments
  • Capacity or resource anomalies
See Outlier Detection for Oracle Siebel CRM.

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Synthetic monitoring

Use synthetic scenarios to test critical Siebel workflows continuously. Configuration includes:
  • Recorded Selenium scenario
  • Execution Engine and location
  • Synthetic account
  • Credential references
  • Browser and driver
  • Schedule
  • Timeout
  • Step measurements
  • Success assertions
  • Cleanup procedure
  • SLA thresholds
  • Alert recipients
See:

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User feedback

Configure User Feedback to collect contextual feedback directly from Siebel users and correlate it with the corresponding application session, interaction, errors, and technical telemetry. Review:
  • Which users can submit feedback
  • Where the feedback control appears
  • Feedback categories
  • Rating or sentiment options
  • Required comments
  • Session and application context
  • Notifications and ownership
  • Sensitive-data handling
See User Feedback for Oracle Siebel CRM.

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Configure KPIs and SLAs

After confirming data collection, enable the KPIs required for each monitoring objective. For each critical KPI:
1

Confirm that data is received

2

Select the summary measure, such as average, percentile, count, rate, or maximum

3

Define the expected baseline

4

Set warning and critical SLA thresholds

5

Select the evaluation period

6

Configure alert conditions

7

Assign the responsible team

8

Add relevant diagnostic or corrective actions

9

Configure maintenance periods

10

Test alert generation and resolution

Avoid using average response time alone for user-experience KPIs. Percentiles such as the 95th percentile are often more effective at exposing degraded user experiences affecting a subset of users.

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Configure data privacy

Before enabling production monitoring:
  • Mask or exclude passwords and authentication tokens.
  • Protect session identifiers.
  • Mask customer, employee, payment, and health information.
  • Review Siebel notes, attachments, and custom fields.
  • Apply appropriate Session Replay privacy settings.
  • Restrict access to replay, logs, and diagnostic data.
  • Configure the required data-retention period.
  • Test all privacy rules with representative Siebel workflows.
Privacy configuration should cover both standard Siebel fields and organization-specific customizations.

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Validate the configuration

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Browser monitoring

Confirm that:
  • RUM JS loads successfully.
  • Sessions appear under the correct application and environment.
  • Users, views, clicks, requests, and errors are captured.
  • Session Replay works when enabled.
  • Sensitive information is protected.

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Server-side monitoring

Confirm that:
  • The assigned Engine is online.
  • Server Manager data is received.
  • REST API collection succeeds.
  • Log files are read and parsed.
  • Crash and FDR files are detected when configured.
  • Database KPIs receive data.

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Analytics and automation

Confirm that:
  • Business-process instances are created correctly.
  • Errors map to the intended KPIs.
  • Outliers are detected against a valid baseline.
  • Synthetic scenarios execute unattended.
  • SLAs are evaluated correctly.
  • Alerts reach the intended recipients.
  • Maintenance periods suppress expected notifications.
  • Dashboards display the intended application and environment.

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Configuration checklist

Before considering Siebel monitoring complete, verify that:
  • Every required layer is represented by a data source.
  • Each data source is enabled.
  • Each data source is assigned to the correct Engine or profile.
  • Credentials use least-privilege access.
  • Network and certificate requirements are satisfied.
  • Expected KPIs receive data.
  • User and session identification are correct.
  • Business-process definitions produce valid instances.
  • Error categories are meaningful.
  • Privacy settings have been tested.
  • SLAs and alerts have been validated.
  • Synthetic tests use safe accounts and data.
  • Dashboards identify the correct environment.
  • Ownership is defined for alerts and configuration maintenance.

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Additional capabilities

Siebel telemetry can also be used with GermainUX capabilities for: These capabilities can be customized through the GermainUX data model, KPIs, pivots, measures, rules, SLAs, dashboards, reports, and automated actions.

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Get Help

Contact GermainUX Support

The GermainUX team helps you get up and running faster, empower your team, turn data into actionable insights, and optimize performance to deliver measurable business outcomes.

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