Event ingestion
Discover how to view and interact with events ingested into meters using the Events Ingested dashboard, including applying filters for data analysis and setting refresh rates.
You can view the events ingested into the meters. You can apply one or more filters on the dashboard to interact with the events for data analysis. The filter conditions appear on top of the Events Ingested dashboard. Use the filtering options to filter data for a specific time period and by event definitions. The filters that you have specified for an event will not persist and the next time you visit this dashboard, the default data will be displayed.
Set the refresh rate in the Refresh drop-down list to refresh the dashboard periodically.
| Filter options | Description |
|---|---|
| View By Event Definition | Allows you to select an event definition by specifying the keywords. |
| Timeframe | Allows you to select a timeframe for the events to be analyzed. |
| Interval | Allows you to select a time interval by which the event data would be displayed in the Events Ingested dashboard. |
| Reset | Allows you to reset the filter conditions. |
| Apply | Allows you to apply the specified filter conditions and produce data in the dashboard. |
Ingestion source analysis
There are different ingestion options available in Zuora Mediation. Each method is suitable for different use cases, based on latency, volume, infrastructure complexity, and operational needs.
| Criteria | API | Snowflake | Kafka | Amazon S3 |
|---|---|---|---|---|
| Latency | Real-time | Batch | Near real-time | Batch |
| Use case fit | Low to medium volume, real-time | Customers already using Snowflake | High-volume streaming use cases | Scheduled large-volume ingestion |
| Ease of Integration | Easy to implement | Easy if Snowflake access exists | Requires Kafka setup | Easy (credentials and file format required) |
| Throughput Handling | Limited by API rate limits | High | Very high | Very high |
| Error Handling | Explicit API error messages | Retry via pipeline control | Requires consumer-side retry logic | Requires external retry or resume logic |
| Ordering Guarantees | Sequential per call | No guarantee | Configurable | No guarantee |
| Retry Support | Manual or client-managed | Yes, through scheduled queries | Yes, through offset management | Yes, via file re-upload |
| Zuora Support Level | Native support | Supported via connector | Supported (custom connector required) | Supported (native flow) |
| Operational Overhead | Low | Medium | High (requires infrastructure and monitoring) | Low |
| Security | OAuth or API key–based | IAM roles or network policies | SSL/TLS and ACLs | IAM and encryption supported |
| Typical use case | Real-time usage metering | Enterprises already using Snowflake | Telco- or IoT-style high event rates | B2B SaaS with daily usage dumps |
| Examples | Metered APIs, real-time billing | Monthly reports, analytics | Device metrics, log events | Usage reports, batch jobs |
| Use when | You require real-time ingestion for low to medium volume usage and prefer a simple integration experience. | Your client already stores usage data in Snowflake and prefers data warehouse–first workflows. | You operate high-throughput, event-driven systems and can manage the associated operational complexity. | You ingest usage data in scheduled batches, want a low-cost option, and can tolerate processing delays. |
Ingestion errors
The Ingestion Errors dashboard displays the list of the errors based on the filter conditions applied on the events. The list view gives a description of each error along with the error code, description, and count of errors. Apply filters to view a selection of ingestion errors.