The energy market is the middle of an unprecedented transformation. To keep pace with this transformation we needed to evolve the operations and applications strategy that supports our energy trading. Any downtime impacts our revenue. With Splunk IT Service Intelligence we gained immediate visibility and insights across our entire trading service stack.
Splunk Ensures Performance of Key Trading Application at ENGIE Global Markets
ENGIE Global Markets (EGM) is the energy trading platform at the heart of ENGIE, a global energy player in gas, power and energy services.
ENGIE Global Markets needed a centralized, real-time view of the health of its critical trading application to speed troubleshooting and ensure performance. Since deploying Splunk Enterprise and Splunk IT Service Intelligence (ITSI), the company has seen benefits including:
- Holistic view of health of key business services
- Faster resolution of business-impacting issues
- Improved collaboration between development and infrastructure teams during incident triage
Challenges
- Need to ensure performance and availability of the core trading application
- Requirement for a centralized, real-time view of system health
- Distributed grid system meant homegrown solution was complex and impacted performance
Business Impact
- Splunk platform delivered holistic visibility into the health of core trading application
- Better cross-functional collaboration enables faster mean-time-to-resolution
- Adaptive thresholds in Splunk ITSI help find and fix issues before they become real problems
Why Splunk
The infrastructure team at ENGIE Global Markets is responsible for the performance and availability of the trading application that sits at the heart of the business. Traders on the trading floor rely on this system to be up and running; if there are performance issues the business may not be able to trade, potentially risking revenue opportunities.
The health of the application is critical and the EGM team needed a centralized, real-time view of that health, as well as the ability to deliver information about system performance quickly and simply to business stakeholders. This was challenging due to the distributed nature of the grid system the application is built on.
