Splunk IT Service Intelligence
Protect service performance with Splunk IT Service Intelligence, through AIOps.
How does Splunk IT Service Intelligence work?
Predict, detect and resolve incidents all from one place
KPI and service-level monitoring
Ensure the protection of key performance indicators (KPIs) and service level agreements (SLAs) by utilizing comprehensive dashboards that continuously monitor the health of services, business metrics, and the underlying systems that support them.
Machine learning and analytics
Leverage advanced analytics such as anomaly detection and adaptive thresholding to proactively predict and prevent issues before they can impact performance. By identifying and addressing potential problems in advance, you can ensure a smoother and more reliable operation of your systems.
Intelligent incident management
Speed up the time it takes to resolve issues by leveraging automated event correlation, incident prioritization, and seamless integrations with IT service management tools. This enables faster identification of critical incidents and streamlines the resolution process.
Features
End-to-end visibility and streamlined incident resolution
Use machine learning to power your IT operations.
Service-oriented dashboards
Effectively monitor the key performance indicators (KPIs) and service availability that are crucial to your organization’s success. By utilizing performance dashboards, you can keep a close eye on the metrics that matter most, enabling you to make informed decisions and take proactive measures to maintain optimal performance and meet your business objectives.
Service deep dives
Efficiently analyze multiple service metrics using swim lanes and dive deep into the raw data with full fidelity. This enables you to swiftly identify the root cause of any issues, allowing for prompt troubleshooting and resolution.
Predictive alerting
Leverage machine learning and historical data to proactively detect potential service degradations in the future. With access to all data, you can set alerts based on true outliers rather than averages of averages, ensuring accurate and timely notifications for any abnormal patterns or anomalies.
Automated event aggregation
Efficiently gather and enhance events from various sources within a unified framework. Set up automatic alerts triggered by incoming data using pre-configured machine learning policies, enabling proactive identification of potential issues as soon as they enter the system.
KPI-driven triage view
Effectively prioritize incidents based on their impact severity to the organization, ensuring that the most critical issues receive immediate attention and resolution.
Integration with ITSM
Initiate service ticketing, on-call response, or automated playbooks directly from your incident review, streamlining the incident resolution process and facilitating prompt action.