Skip to content

Contacts Service Metrics

This document details the telemetry metrics exposed by the UpdateContactsInRedisService hosted service. These metrics provide insights into the performance and reliability of the contact data synchronization into the Redis cache.

The primary meter for these metrics is CRMFacade.Contacts.

Service Goal

This service is responsible for periodically fetching all contact data from DataVerse and caching it in Redis. This provides a fast, centralized cache for contact information used throughout the platform.


Metrics

Metric Name Type Description
contacts_sync_total Counter Total number of contact sync operations attempted. Incremented on success or when skipped.
contacts_sync_errors_total Counter Total number of failed contact sync operations.
contacts_sync_duration_seconds Histogram The duration, in seconds, of each sync operation.
contacts_last_sync_timestamp Observable Gauge The Unix epoch timestamp of the last successful sync.

Dimensions

These dimensions (tags) can be used to filter and group metric data.

Metric Name Dimension Name Possible Values Description
contacts_sync_total operation success, skipped The outcome of the sync operation.
reason lock_not_acquired The reason an operation was skipped (only present if operation=skipped).
contacts_sync_errors_total operation error Indicates a failed operation.
error_type Exception Name (e.g., RedisException) The type of exception that caused the failure.
contacts_sync_duration_seconds operation success, error The outcome of the operation whose duration was measured.

Example KQL Queries

Here are some example queries you can use in Azure Application Insights to monitor the service.

customMetrics
| where name == "contacts_sync_total"
| where timestamp > ago(1d)
| extend operation = tostring(customDimensions.operation)
| extend reason = tostring(customDimensions.reason)
| summarize Count = sum(value) by operation, reason
| order by Count desc
customMetrics
| where name == "contacts_sync_duration_seconds"
| where timestamp > ago(7d)
| summarize percentiles(value, 95) by bin(timestamp, 1d)

This query can be used to create an alert if the last successful sync is older than a specified threshold (e.g., 2 hours).

customMetrics
| where name == "contacts_last_sync_timestamp"
| summarize LastSync = max(value)
| extend AgeInSeconds = datetime_diff('second', now(), unixtime_seconds_todatetime(LastSync))
| where AgeInSeconds > 7200 // 2 hours
| project readable_time_utc = unixtime_seconds_todatetime(LastSync), AgeInSeconds

Metric Flow Diagram

The following diagram illustrates the flow of the UpdateContactsInRedisService job and when each metric is recorded.

graph TD
    A[Start Job] --> B{Try Acquire Lock};
    B -- Lock Acquired --> C[Call UpdateAllContactsInCache];
    B -- Lock Not Acquired --> D["Record: sync_total<br>(skipped, lock_not_acquired)"];

    C -- Success --> E["Record: sync_total(success)<br>Record: sync_duration_seconds(success)<br>Update: last_sync_timestamp"];
    C -- Failure --> F["Record: sync_errors_total<br>Record: sync_duration_seconds(error)"];