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Splunk On-Call

Accelerate incident response with Splunk On-Call: automated scheduling, intelligent routing, and machine learning mean less downtime and more insights.

Published: 2025/12/24

Introduction

Splunk On-Call is a comprehensive incident response platform designed to reduce downtime, minimize burnout, and provide deeper insights into operational issues. It automates critical processes, ensuring that the right person is notified at the right time, and equips teams with the tools needed for rapid resolution.

Key Features:

  • Automated Scheduling & Escalation: Simplify on-call rotations, overrides, and escalation policies to ensure incidents are always addressed promptly.
  • Intelligent Alert Routing: Deliver metadata-rich notifications directly to any device, allowing responders to act, resolve, reroute, or snooze alerts from native iOS and Android apps.
  • Machine Learning-based Responder Recommendations: Leverage historical data and machine learning to identify the most suitable responders and provide relevant context from similar past incidents.
  • Incident Context and Audit Trail: Gain deep insights into incidents with historical data and audit trails, facilitating faster active incident resolution.
  • Rules Engine: Add context to incidents and integrate resources like runbooks, articles, and dashboards to help responders triage and resolve issues more efficiently.
  • Robust Reporting: Access easy-to-understand reports on incident frequency, Mean Time To Acknowledge (MTTA), Mean Time To Resolve (MTTR), and post-incident reviews to manage alert noise, improve analysis, and foster innovation.

Use Cases:

  • Faster Incident Resolution: Streamline workflows and provide necessary context to accelerate problem-solving.
  • Reduced On-Call Burnout: Automate routine tasks and optimize schedules to alleviate pressure on on-call teams.
  • Optimized Application Delivery: Ensure continuous service performance by quickly addressing issues impacting applications.
  • Proactive Issue Management: Stay ahead of potential problems with intelligent monitoring and alerting capabilities.

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