Elastic ObservabilityElastic
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Related Products
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About
Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.
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About
Sift is a unified observability platform purpose-built for modern, mission-critical hardware systems that provides engineers with infrastructure and tooling to ingest, store, normalize, and explore high-frequency, high-cardinality telemetry and event data from design, validation, manufacturing, and operations in a single source of truth rather than fragmented dashboards and scripts; it centralizes diverse data types, aligns signals across subsystems, and structures information for fast search, visual review, and traceability so teams can detect anomalies, perform root-cause analysis, automate verification and validation, and debug hardware with real-time precision. It supports automated data review, no-code visualization and querying of massive datasets, continuous anomaly detection, and integration with engineering workflows, including CI/CD pipelines and tooling, while enabling telemetry governance, collaboration, reporting, and knowledge capture across siloed teams.
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprises in need of an open, extensible observability platform to converge silos and get actionable insights
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Audience
Engineering and operations teams building and running complex physical machines that want to ingest, store, analyze, and act on high-volume telemetry and event data
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$16 per month
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationElastic
Founded: 2012
United States
www.elastic.co/observability
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Company InformationSift
United States
www.siftstack.com
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon Elastic Container Service (Amazon ECS)
Supported
Amazon S3
Supported
Apache Kafka
Supported
Bravura Identity
Supported
Envoy
Supported
EventHub
Supported
Google Cloud Agent Assist
Supported
Google Cloud AutoML
Supported
Jira
Supported
Microsoft Defender XDR
Supported
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Integrations
Amazon Elastic Container Service (Amazon ECS)
Not Supported
Amazon S3
Not Supported
Apache Kafka
Not Supported
Bravura Identity
Not Supported
Envoy
Not Supported
EventHub
Not Supported
Google Cloud Agent Assist
Not Supported
Google Cloud AutoML
Not Supported
Jira
Not Supported
Microsoft Defender XDR
Not Supported
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