Any downtime impacts our revenue. With Splunk IT Service Intelligence we gained immediate visibility and insights across our entire trading service stack.
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:
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.
Head of Infrastructure, ENGIE Global MarketsAny downtime impacts our revenue. With Splunk IT Service Intelligence we gained immediate visibility and insights across our entire trading service stack.
Before deploying the Splunk platform, the development and infrastructure teams used their own siloed monitoring tools, which required a lot of back and forth to resolve issues. Using Splunk software has improved collaboration between the teams and reduced incident resolution time.
Deploying Splunk ITSI has made it even easier for EGM to correlate data across the IT stack to improve incident management and resolution. “When there’s an issue, Splunk ITSI shows us where to look so we can solve the issue,” says the Head of Infrastructure at ENGIE Global Markets. “With machine learning in Splunk ITSI, we don’t have to create thresholds manually to measure performance of each server. We can adapt them dynamically to account for expected performance variances. This eliminates the cost of frequent configuration and tuning and frees our team to focus on triage on actual incidents before they impact end user experience.”
With the swimlane visualizations in Splunk ITSI, EGM can collaborate across technology functions to also see how lower-level services are impacting top-layer services. Moving forward, ENGIE Global Markets plans to use the Splunk Machine Learning Toolkit to deliver further IT operations and business insights.
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