Full-Stack Observability for IoT Event Stream Data Processing at Penske

September 4, 2021

Imagine: you’re responsible for 700GB a day of provider and customer data flowing through 300 different stream applications, scaled to 2,500 containers on a cloud platform. No pressure, but… How do you know if the platform and all of the stream apps are healthy? When something goes wrong, how do you identify which providers and customers are being impacted? How do you quickly identify the root cause? Or better yet, can you detect issues early and fix them proactively, before they become problematic? Penske faces this problem every day with their Connected Fleet—a custom-built IoT system that collects constant streams of odometer, location, and engine data from Penske trucks and ingests into a data lake to derive real-time analytics. You’ll learn how Penske leveraged VMware Tanzu Observability to meet the challenges of understanding and managing the health of the system with out-of-the-box integrations for TAS, Spring Boot, Kafka, and MySQL to get full visibility into their entire stack. Krishna Gogineni, Advisory Platform Architect at VMware Shruti Modi, Director Data Platform at Penske Transportation Solution

No Previous Videos

Next
An Internet of Things Platform Powered by Pivotal Cloud Foundry and Microsoft Azure
An Internet of Things Platform Powered by Pivotal Cloud Foundry and Microsoft Azure