Pega Predictive Diagnostic Cloud™ (PDC) provides usage statistics for Pega Customer Decision Hub™ through several metric categories.
PDC supports the following categories:
- Decisions: monitors the usage of real-time and batch decisions.
- Events: monitors the usage of stream events.
- Data Processing: monitors the usage of batch, real-time, and stream data loads and data flows.
- Audiences: monitors customer and prospect counts.
- Channels: monitors the usage of emails, messages, paid media, and push notifications.
- Storage: monitors the usage of Cassandra, S3, and IH_Fact storage space.
- Other Statistics: monitors context data loads, and strategy and capture responses.
The following tables describe data collected by each metric category:
Decisions category metrics
| Metric | Collected data |
|---|
|
Distribution of batch decisions over time
Decision by batch
Number of batch decisions in each batch-scheduled run
Batch-scheduled runs and custom batch decisions for a selected node that display the following data:
• Throughput
• Decisions
• Error rate
• Response times
• Number of runs
|
|
Distribution of real-time decisions over time
Number of decisions in each real-time entity
Real-time entities, such as real-time containers, real-time events, and custom real-time data flows for a selected node that display the following data:
• Throughput
• Decisions
• Response times
• Error rate
|
Events category metrics
| Metric | Collected data |
|---|
|
Distribution of stream events over time
Number of stream requests in each event category
Event category names for a selected node that display the following data:
• Throughput
• Events
• Response times
• Invocation
• Non-invocations
• Error rate
|
| Metric | Collected data |
|---|
| Customer count | Customer
The count of unique customers loaded into the customer table that is mapped to the primary context. This metric is updated every day. |
| Prospect count | Prospect
The count of unique prospects loaded into the prospect table. This metric is updated every day. |
Data Processing category metrics
| Metric | Collected data |
|---|
|
Distribution of data processing batches over time
Data processing batches
Data load batches for the selected node that display the following data:
• Throughput
• Processed records
• Error rate
• Response times
|
|
Distribution of real-time data processing over time
Real-time data flows for data processing
Real-time data flows for the selected node that display the following information:
• Throughput
• Processed records
• Error rate
• Response times
|
|
Distribution of streaming data processing over time
Data processing stream data flows
Real-time data flows for a selected node that display the following information:
• Throughput
• Processed records
• Error rate
• Response times
|
|
Distribution of data processing batches over time
Data processing batches
Data load batches for a selected node that display the following information:
• Throughput
• Processed records
• Error rate
• Response times
|
|
Distribution of real-time data processing over time
Data processing real-time data flows
Real-time data flows for a selected node that display the following information:
• Throughput
• Processed records
• Error rate
• Response times
|
|
Distribution of streaming data processing over time
Data processing stream data flow
Real-time data flows for a selected node that display the following information:
• Throughput
• Processed records
• Error rate
• Response times
|
Channels category metrics
| Metric | Collected data |
|---|
|
Distribution of the email queue depth over time
Number of queued emails on each node
|
|
Distribution of the emails that your system processed over time
Number of emails that each node processed
Number of emails that the selected node processed successfully and emails that generated errors
|
|
Distribution of the SMS queue depth over time
Number of queued SMS messages on each node
|
|
Distribution of SMS messages that nodes in your system processed over time
Number of SMS messages that each node processed
Number of SMS messages that the selected node processed successfully and SMS messages that generated errors
|
|
Distribution of paid media audience counts that your system processed over time |
|
Distribution of push notifications that your system processed over time |
Storage category metrics
| Metric | Collected data |
|---|
|
Distribution of disk space that Cassandra used over time
Space that Cassandra used on each DDS node
The metrics for your Apache Cassandra database system, which consist of the following measurements:
• Disk usage
• Free disk space
• Owns
• Reachable nodes
• Unreachable nodes
• Read latency (75th percentile)
• Write latency (75th percentile)
• Read throughput (moving average)
• Write throughput (moving average)
For more information about the DDS node metrics, see Status parameters of Decision Data Store nodes. |
|
Distribution of disk space that files in the S3 repository used over time
|
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Distribution of disk space that interaction history records used over time
|
Other category metrics
| Metric | Collected data |
|---|
|
Distribution of the average strategy run time over time
Average run time in each strategy
Strategies for a selected node that display processed records and response times
|
|
Distribution of context data processing over time
Data processing context data flows
Real-time data flows for a selected node that display the following data:
• Throughput
• Processed records
• Response times
|
|
Distribution of responses processing over time
Data flows engaged in capturing responses
Data flows that capture responses for a selected node that display the following data:
• Throughput
• Processed records
• Response times
|
For more information about Pega Customer Decision Hub, see Pega Customer Decision Hub documentation.
