Signal0ne

Signal0ne: Unified Alert Enrichment and Root-Cause Analysis

Signal0ne is an observability-assisted alerting tool that acts as a virtual on-call colleague. It helps teams automate root-cause analysis using data from their existing stack, provide rich context with alerts, and offer deeper insights through correlated signals and runbooks. The goal is to streamline issue mitigation and enable post-mortem analysis for future incidents.

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How it works

Step 1: Create alert enrichment and correlation flow

• Build a flow to automate root-cause analysis using the data you already have from the tools you already use. Signal0ne weaves together signals to form a clearer alert context, and more capabilities are planned.

Step 2: Receive alert with full context needed to mitigate the issue

• When an alert fires, you receive enhanced context right at your fingertips, allowing you to focus on mitigation rather than data gathering.

Step 3: Inspect correlated signals and get all the insights

• Drill down into data sources, view correlated events across your system, and see proposed runbooks for mitigation.
• Save analyses for future use as post-mortems.

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Frequently Asked Questions

• Can Signal0ne integrate with my observability stack? If you don’t see your tool mentioned in Step 1, contact us to verify compatibility.
• How can I get started? Schedule a call with us or check our GitHub repository for more information.
• Contact: [email protected]

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Use Cases

• Automate root-cause analysis using existing data sources.
• Enrich alerts with contextual information to speed up remediation.
• Drill into correlated signals to identify underlying issues and suggested runbooks.
• Preserve analyses for post-mortems and future incident response.

Safety and Compliance

• Designed for operational efficiency and faster MTTR; ensure your team validates runbooks before production use.

Core Features

• Alert enrichment and correlation workflows built on top of your existing stack
• Rich alert context delivered at detection time to speed mitigation
• Drill-down capabilities into data sources and correlated events
• Propose runbooks for immediate remediation and mitigation
• Post-mortem-ready analysis saving and reuse
• Compatibility checks with your observability tools (with guidance from SignaloneAI)
• Schedule-based onboarding and GitHub-based information for getting started