Proactive Issue Detection and Operational Efficiency for a Global Pizza Chain with Splunk IT Service Intelligence

Solution 

To address these challenges, bitsIO implemented a unified observability framework using Splunk IT Service Intelligence (ITSI). This solution provided end-to-end visibility across stores, microservices, and infrastructure components, enabling proactive monitoring and quicker identification of issues.

Key Deliverables included:

• SPL Search Development:
  
  • Created and tested SPL searches for loading services across all stores using a Sandbox environment.
    
  • Adjusted SPL queries and entities to incorporate groups, successfully loading all relevant services.
    
  • Updated content packs to include new services and remove outdated ones.
    
• Service and Entity Searches:
  
  • Developed and refined service design and entity searches for all stores based on customer discussions and requirements.
    
• Dashboard and Presentation Updates:
  
  • Adjusted dashboards based on service imports, particularly for Kentucky State.
    
  • Updated presentations to reflect milestones and recent changes to the system.
    
• Adaptive Thresholding (AT):
  
  • Initiated adaptive thresholding, analyzing and selecting candidate KPIs (Key Performance Indicators).
    
  • Identified and resolved KPI issues, fine-tuned KPIs, and reimported services to correct faulty thresholds.
    
  • Applied AT to CPU utilization and memory utilization service templates.
    
  • Began development of KPIs for storage utilization.
    
• KPI Tuning and Service Imports:
  Completed KPI tuning for CPU and memory and finalized service imports, preparing for the AT training period.