3 posts tagged with "telemetry"

Announcing the release of Spice v0.17.2-beta 🏄

The v0.17.2-beta release focuses on improving data accelerator compatibility, stability, and performance. Expanded data type support for DuckDB, SQLite, and PostgreSQL data accelerators (and data connectors) enables significantly more data types to be accelerated. Error handling and logging has also been improved along with several bugs.

Highlights in v0.17.2-beta​

Expanded Data Type Support for Data Accelerators: DuckDB, SQLite, and PostgreSQL Data Accelerators now support a wider range of data types, enabling acceleration of more diverse datasets.

Enhanced Error Handling and Logging: Improvements have been made to aid in troubleshooting and debugging.

Anonymous Usage Telemetry: Optional, anonymous, aggregated telemetry has been added to help improve Spice. This feature can be disabled. For details about collected data, see the telemetry documentation.

To opt out of telemetry:

1. Using the CLI flag:

   spice run -- --telemetry-enabled false
   

2. Add configuration to spicepod.yaml:

   runtime:
     telemetry:
       enabled: false
   

Improved Benchmarking: A suite of performance benchmarking tests have been added to the project, helping to maintain and improve runtime performance; a top priority for the project.

The v0.13.3-alpha release is focused on quality and stability with improvements to metrics, telemetry, and operability.

Highlights​

Ready API: - Add /v1/ready API that returns success once all datasets and models are loaded and ready.

Enhanced Grafana dashboard: The dashboard now includes charts for query duration and failures, the last update time of accelerated datasets, the count of refresh errors, and the last successful time the runtime was able to access federated datasets

The v0.13.2-alpha release is focused on quality and stability with improvements to federated query push-down, telemetry, and query history.

Highlights​

• Filesystem Data Connector: Adds the Filesystem Data Connector for directly using files as data sources.

• Federated Query Push-Down: Improved stability and schema compatibility for federated queries.

• Enhanced Telemetry: Runtime Metrics now include last update time for accelerated datasets, count of refresh errors, and new metrics for query duration and failures.

• Query History: Enabled query history logging for Arrow Flight queries in addition to HTTP queries.