Review

Continuous, Automated Review

Catch anomalies in real-time, while capturing institutional knowledge and validating quality control.

Review

Benefits

Comprehensive, rigorous review

Sift saves your team valuable time and effort with automated review that’s quality assured — no scripts or SQL queries needed. Using an integrated “Rules” feature to validate your changes continuously, Sift expedites a time-consuming process to deliver thorough and reliable data reviews. Your team can quickly analyze large volumes of data and extract insights from complex telemetry datasets, while Sift documents everything.

Reduce risk with anomaly detection

Real-time anomaly detection gives you advanced tools to customize alerts with conditional logic, cutting down on unnecessary noise and helping your team efficiently root cause potential issues. Sift also discovers previously unknown edge and corner cases in your hardware’s performance by maintaining an evolving set of rules. You can rest easy knowing that every failure Sift surfaces actually needs your attention.

A collaborative source of truth

Sift provides a centralized framework for sharing data, insights, and analysis, fostering teamwork and inherently capturing institutional knowledge. The more data reviews you run through Sift, the more helpful the tool becomes. With an easily searchable source of truth, customizable rules, in-line annotations, and unified visualization, your team can collaborate easier and more efficiently.

Organized exploratory analysis

Sift's bulk editing features are easy and straightforward, even for non-coders. You can configure an entire portfolio of rules and ensure implementation, while seamlessly combining datasets from diverse sources. Sift also allows you to reconcile logs with time-series data, compare telemetry with historical events, and correlate failures with one another, helping your team troubleshoot problems as quickly as possible.

Visualize your data with ease

Understanding complex data without proper visualization tools can be costly and difficult. Sift helps you identify trends, patterns, and correlations with interactive visualization that users can even access from a mobile device. By providing a clear understanding of your hardware’s performance, Sift enhances decision-making capabilities and reduces risk — lowering your overall costs and improving outcomes.

Features

Real-time Anomaly Detection
Identify unusual patterns or outliers in the data as they occur.

Identify unusual patterns or outliers in the data as they occur.

Bulk Editing
Configure a correct and complete set of rules for contextual alerts.

Configure a correct and complete set of rules for contextual alerts.

Interactive Data Visualization
Explore and visualize complex data with an intuitive interface.

Explore and visualize complex data with an intuitive interface.

Collaborative Interface
Utilize sharelinks and annotations to share data, insights, and analyses with team members.

Utilize sharelinks and annotations to share data, insights, and analyses with team members.

Data quality assurance
Ensure the accuracy and reliability of the data being analyzed with validation checks and error detection algorithms.

Ensure the accuracy and reliability of the data being analyzed with validation checks and error detection algorithms.

Sift Observability Platform

Missions are complex. Reviewing machine data should be simple.

Ingestion

Scale both the number and complexity of your machines without worrying about ingestion rates.

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Storage

Query a backend that's purpose-built for long duration, high cardinality searches. Add granular retention policies to save only the data you need.

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Visualization

Explore, share, and collaborate with your team — no Python scripts or SQL queries needed. Unify all your data sources in a single window.

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Review

Automatically review simulation, testbed, and operational data. Ingrain your expertise in rules that flag anomalies real-time.

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Reporting

With one-click, generate certification reports for stakeholders. Provide precise access to your data with Role-Based Access Controls.

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FAQs

Is a run something I can set up in advance, creating a custom set of rules before I begin? Or is run something I look at retrospectively?

A run is something that you can either set up in advance or create retroactively. If you set it up in advance, you can upload a JSON with the rules you want to evaluate, stream data, then end the run. If you stream data and retroactively want to create a run and evaluate rules, you can do that too.

When conducting data review, what level of automation do you have in regard to regressions and outliers?

Running machine learning algorithms like regressions isn’t supported in Sift. Our vision is to support ~90% of the analysis that engineers need and do it realtime. For the most advanced 10% of analysis, we make it easy to push and pull data to and from Sift.

Get a Demo

Contact us today for a no-pressure conversation. Discover what Sift can do for your business.

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