Architecture A story on how Michelin continuously modernizes its information system IntroductionOver the past years, we at Michelin Group, have been trying to think about how to deeply change the way we plan, build and operate our information system to adapt
Architecture Moving from orchestration to choreography - Part 2 In the first article of this serie, we've been through the preliminary work to convince our organization to move from a central orchestrator (implemented with a Business Process Management tool)
Architecture Drupal on Kubernetes (a.k.a stateful application) The production implementation detail of our API portal developed on top of Drupal and hosted as a stateful application on a Kubernetes cluster.
Architecture Managing Gitlab instance on Azure Details about our Gitlab architecture and deployment process mainly based on Azure managed services with databases, cache and file storage.
Architecture “The metamorphose” of our Information System by Implementing a distributed event streaming platform In this article, I want to share Michelin's experience on its first implementations of Kafka and distributed architectures, which is part of the early stages of implementing our EDA architectures. Our firsts experiences we had on a distributed platform.
Data Open Sourcing Kafka Connect transforms for Qlik Replicate We're very pleased to announce Kafka Connect transforms for Qlik Replicate in open source. This Single Message Transformation library aims to ease a Change Data Capture event integration into the Kafka ecosystem.
Architecture Learn EDA & Streaming from practice You hear more and more IT colleagues talk about event-driven architecture and stream programming, you understand this is the new paradigm shift of IT system design in company, but you might wonder how to grasp the key concepts quickly and most important how to
Data Ordering guarantee when using Qlik Replicate and Apache Kafka Streaming a database looks simple with Change Data Capture and Kafka. This post will explain the pitfalls and solutions when dealing with events ordering.
Architecture Connected tires: lessons learned in moving to reactive systems Discover how the Michelin IoT data ingestion platform moved from a monolithic application to a reactive event based micro services system
Architecture Legacy integration, a story of modernisation Discover the challenges faced by Michelin teams to transform a 15 years old legacy system into domain-oriented streaming data source.
Data Exponential Information Systems for a Data-Driven World We live in times of accelerating changes fueled with “exponential technologies”. “Exponential Information Systems” is all about constant adaptation for the information system. This article details it and show how it can contribute to a data-driven backbone towards a data driven company.
