With around a million people interacting with the public transport in and around the city of Amsterdam daily, supplying accurate travel information is critical for an efficient and well-informed public transportation experience. With four different transport types (boat, bus, tram, and metro) and a host of custom systems creating around 4.5 million update events per day, analyzing this travel information depends on everything working seamlessly together. To provide accurate and trustworthy real-time passenger information services, monitoring of not only information availability but quality is needed. This use case shows how Splunk was implemented to monitor the data streams at all points in the information chain, and how real-time insights and alerting allows for proactive problem resolution and provides high-quality real-time information services for the end-user.

Speaker(s)
Simon Ric - Hansen, Data Analyst, DITP

Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1442.pdf?podcast=1577146207

Product: Splunk Enterprise, Splunk for Industrial IoT
Track: Internet of Things
Level: Intermediate