SignalFx is a leader in real-time operational intelligence for data-driven DevOps. The service discovers and collects metrics across every component in the cloud, replacing traditional point tools and providing real-time visibility into today’s dynamic environments. Leveraging the massively scalable SignalFx platform, the service is optimized for serverless, container and microservices-based architectures and provides powerful visualization, proactive alerting, and collaborative triage capabilities across organizations of all sizes.

Government agencies, regardless of their stage in the cloud-native journey, can leverage SignalFx. Use cases include workload migration to the cloud in an accelerated and compliant manner, proactively monitoring and alerting of traditional, 3-tier application architectures and real-time streaming analytics for the modern microservices-based application architectures.


  • SignalFx Standard Edition

    • SignalFx agent for collecting time-series metrics from Linux and Windows Server hosts

    • SignalFx agent for collecting time-series metrics from Linux containers and container orchestration services (Mesos, Kubernetes, etc.)

    • SignalFx certified deployment scripts for collection agents

    • SignalFx client libraries for instrumenting custom application metrics

    • SignalFx metrics proxy to buffer and forward time-series data from multiple protocols

    • Support for metric collection at resolutions as fine-grained as 1 second

    • Standard data retention: native resolution metric data retained for 8 days, 1-minute rollups for 32 days, 5-minute rollups for 92 days, 1-hour rollups for 367 days

    • Events API

    • 100+ pre-built integrations for collecting and visualizing metrics for open-source and cloud technologies.

    • Use of SignalFx streaming analytics technology to power real-time dashboards, charts, and alerts

    • Pre-packaged and customizable dashboards and charts with dozens of visualization and drill-down options

    • Chart builder with option to apply dozens of analytics functions (e.g., percentiles, sums, rate-of-change, stddev, EWMA) and aggregations (e.g., ratios, growth-rates) on up to 5,000 metric time-series at a time

    • Customizable detectors based on a variety of trigger conditions and evaluated against simple/composite/transformed metrics in-stream as data is received

    • Access to pre-built library of statistical templates (e.g., outlier detection, anomaly detection, predictive models for capacity planning, sudden change, etc.) for use in detector conditions

    • Centralized, searchable detector and alert catalogue with alert muting rules

    • Alert notifications through email, chat, and 3rd party incident management solutions

    • Shareable, read-only dashboard snapshots for triage scenarios

    • Use of SignalFlow APIs for programmatic chart/dashboard/detector generation, CLI for interactive queries

    • Detailed reports on SignalFx usage

    • Active Metric Time Series (AMTS) will be limited to no more than 100% of Company's DPM Subscription Capacity

  • SignalFx Enterprise Edition

    • Includes SignalFx Monitoring Service Standard Edition, plus the following options:

    • SignalFx Extended Data Retention: native resolution metric data retained for 367 days

    • Fully customizable data storage and rollup policies

    • SignalFx High-Cardinality Queries

    • SignalFx Service Bureau

    • SignalFx 24x7 Platinum Support, via email, chat, phone

    • Token management: ability to issue/revoke new tokens by Admin user

    • SSO based user management

    • Active Metric Time Series (AMTS) will be limited to no more than 200% of Company's DPM Subscription Capacity



451 Research analyst Nancy Gohring looks at how SignalFx is designed to scale with capabilities to monitor modern application environments. Read how SignalFx is well positioned for the evolution of the market towards embracing microservices, containers, and serverless.

The compute infrastructure landscape is evolving rapidly (clouds, containers, autoscaling, serverless, CI/CD, etc.). These trends pose a new set of monitoring challenges. SignalFx engineer Arijit Mukherji shares real-world examples demonstrating what these challenges are, some approaches that worked...

Enterprises that want to modernize their monitoring face a choice: should they build it themselves, typically leveraging multiple open source projects, or should they make use of a commercial solution? These organizations with cloud environments and an urgent need to improve their monitoring and ale...

Today, a more modern approach to infrastructure monitoring can help rationalize the role of the APM and log management tools that development and operations teams already use to understand the lifecycle of their applications. The data and insights at each stage of the journey shouldn’t be viewed i...