New feature

Amazon Timestream for InfluxDB 3 now supports custom plugins

Amazon Timestream for InfluxDB 3 allows running custom Python plugins on managed InfluxDB 3 Core and Enterprise editions, enabling custom data transformations and alerts close to the data.

Amazon Timestream for InfluxDB now supports running custom Python plugins on managed InfluxDB 3 Core and Enterprise editions. Users can host plugin code in public or private repositories, and the engine fetches and executes it based on triggers, enabling workload-specific logic without external infrastructure. Plugins run with supported trigger types for custom data transformations, alerts, aggregations, and integration with proprietary services, executing in a managed Python environment with standard libraries and Amazon-verified packages. This is enabled by setting the plugin repository in a DB parameter group and applying it to a cluster, then creating triggers via the influxdb3 CLI or HTTP API. Private repositories authenticate using tokens stored in AWS Secrets Manager. Custom plugins are available in all AWS regions where Amazon Timestream for InfluxDB is offered.

Why it matters

This update is useful for users who need to implement custom processing in managed versions of InfluxDB databases.

Read the original AWS announcement