CASE STUDY

Big data infrastructure for autonomous driving

Developing a highly scalable IoT solution to enable the mobility of the future for an international automotive OEM

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Client

An automotive OEM wanted to establish the data infrastructure to enable autonomous driving at scale at level 3 as well as a limited size automated taxi fleet (level 4) as a pilot project

Challenge

Given the criticality of the use case, the system had to ensure high availability and reliability while different data sources had to be connected and variable loads needed to be handled

Solution

A cloud-native microservices architecture for the different use cases with data streaming, IoT broker and stream based real-time monitoring (TICK standard)

Result

A highly scalable IoT solution which will enable the mobility of the future

Solve your challenge
Have a talk with Sebastian

Sebastian Honstetter

Area & Business Development Manager | OKR Master

About

For about 10 years I have been very enthusiastic about "agility", "new work" and "lifelong learning", both professionally and privately. I used to work as a paramedic until I found my way into IT and project management about 20 years ago.

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