Each of this month’s updates stands strong on its own, but together they tell a story about where Sift is headed.
If your pipelines produce data in Parquet, you can now bring it directly into Sift.
Once that data is inside, Metadata, a new Sift feature, ensures it can be organized, managed, and easily found later, making reviews more automated and efficient.
From there, Explore v2 (Beta) becomes the place to work, transforming Parquet data into insights. Now, in Explore v2 (Beta), with Live Mode, Sync Mode, and Views, teams can track signals in real time and uncover root causes faster.
Individually, these updates add speed, structure, and efficiency. Together, they show Sift as the platform that turns raw data into organized review, live analysis, and shared insight without friction.
Beyond these highlights, you will also find several other New and Improved updates described below.
New: Explore 2 (Beta) expands with Sync mode, Live mode, and Views
Overview: Explore 2 (Beta) now expands with Live mode to stream data directly into the workspace and Sync mode to align a multi-panel view containing different Channels.
When Sync mode is active, zooming into one panel automatically adjusts the others to the same time range.
An early implementation of Views is also available in Explore 2 (Beta): you can apply Views created in Explore 1, with support for creating and editing Views planned for a future release (in Explore 2).
These updates build on the foundation of Explore 2 (Beta), which delivers speed, precision, and control for high-frequency telemetry analysis.
New: User-defined Metadata for consistent organization/filtering across Sift resources
Overview: Sift now supports user-defined Metadata,
allowing you to add structured key-value pairs to all resources including
Runs,
Assets,
Annotations,
Rules,
Reports,
Report Templates,
Campaigns,
Calculated Channels, and
User-defined Functions.
This provides a consistent way to describe and categorize resources beyond unstructured tags.
New: Identity provider (IdP) (Beta) integration for scalable user management
Overview: Sift now integrates with external Identity Providers (IdPs) that support push provisioning.
User and group changes in your IdP automatically synchronize to Sift, ensuring account information remains current without manual intervention.
New: A dedicated Jobs page for easier monitoring and results tracking
Overview: Sift now includes a dedicated Jobs page at /manage/jobs.
This page provides a central location to view all Jobs in your organization as well as your own Jobs, making it easier to monitor progress, manage execution, review results, and take actions such as canceling or retrying Jobs.
New: NaN and infinity handling for state-aware telemetry analysis
Overview: Sift now supports ingestion and analysis of NaN, +Infinity, and -Infinity values in float and double Channels.
These values were previously filtered out and sent to the dead-letter queue (DLQ) but are now available in Rules, visualizations, and Calculated Channels.
To ensure safe handling, new built-in functions isnan, isinf, and isfinite provide precise control.
New: Parquet file support for telemetry ingestion in the UI and REST API (Beta)
Overview: Sift now supports importing Parquet files through both the UI and the REST API.
Parquet files can be ingested directly, with each Channel represented as a column in a flat schema.
This makes it easier to bring telemetry from modern data pipelines into Sift.
Improved: Support for 10 GiB exports with background notifications
Overview: You can now export large volumes of data directly from the Explore page, whether viewing a Run or an Asset.
Exports are conducted in the background, and progress is visible in the Notifications dropdown and the Jobs page at /manage/jobs.
Once the export is complete, you will receive a notification and can download the results without needing to monitor the process.
At this time, exports are supported up to 10 GiB per Job. This safeguard can be adjusted for specific customer needs.
Export a Run’s data from its Overview page: Soon, you’ll be able to export data from an entire Run directly from its Overview page, without needing to plot it, which will simplify your external analysis workflows.
Access an Asset or Run’s original import file from its Overview page: Soon, when you upload files as Assets/Runs, you’ll be able to access the originally uploaded file as an attachment on its Overview page for future reference.
Write Rules in Python: Future updates will enable you to generate Sift Rules using Python code, providing greater flexibility and customization.
Overview: New to Sift, or onboarding a new teammate? Sift now includes a beginner tutorial that introduces the basics of the platform and walks through an end-to-end workflow using real telemetry data. This tutorial is designed to help new users understand Sift quickly and make onboarding easier for your team. Learn more.
