Working with service insights in ITSI

​A service is a set of interconnected applications and hosts that are configured to offer a specific service to the organization. These services can be internal — an organization’s email system— or external —an organization’s website. 

You can create business and technical services that model those within your environment. Some services might have dependencies on other services. Services contain Key Performance Indicators (KPIs), which make it possible to monitor service health via service health scores, perform root cause analysis, receive alerts, and ensure that your IT operations are in compliance with business service-level agreements (SLAs).   

ITSI’s Service Insights allow you to create glass tables to help you monitor real-time interrelationships and dependencies via KPIs and service health scores across your IT and business services in one view. Glass tables also feature a drawing canvas where you can add visualizations in the form of KPIs and service health scores, upload images and icons, and add charts.

Another glass table used to evaluate business, operational and SLA performances, along with infrastructure status. 

Service Insights also enables you to create and use four kinds of dashboards: infrastructure overview, service analyzer, deep dives, and predictive analytics. 

Infrastructure Overview Dashboards provide a consolidated view of all your data integrations and investigation tools for operating systems, virtual infrastructures, containers, and cloud services. 

Service Analyzer Dashboards help you map dependencies based on a connection between devices and applications in a tile or topology view. You can visually correlate services to underlying infrastructure with a tile or tree view. You are also able to drill down to the code level and identify root causes directly from service monitoring dashboards.

Deep Dives Dashboards are an investigative tool to help you identify and analyze issues in your IT environment. 

Deep dives display a side-by-side view of KPIs and service health scores over time to help you zoom in on metric and log data and visually correlate root cause. 

Use side-by-side displays of multiple KPIs and correlate metrics over time to identify root causes.

Predictive Analytics Dashboards predict future incidents 30 minutes in advance using machine learning algorithms and historical service health scores.

Top five contributing service metrics are displayed to guide troubleshooting.

To learn more about these data models, see the Splunk ITSI interactive demo. 

The following are included: Glass Tables (step 1/8), Predictive Analytics Dashboard (step 2/8), Service Analyzer Dashboard (step 5/8), and Deep Dive Dashboard (step 6/8).