Architecture | Michelin IT Blog

This twisted mountain road perfectly illustrates our Cloud to Cloud automation journey

Cloud to Cloud automation with ServiceNow

Here is a short article about the recent experience of my department with automation. I will not bother you with technical details, but rather highlight key findings and points that ultimately mattered. The use case: Office 365 room management We decided to stop managing Office 365 rooms manually, and leverage

Architecture

Securing a Virtual Desktop in a Public Cloud - Conclusion

As I documented in previous articles we moved our VDI platform to dedicated subscriptions and segmented the users by separating Michelin and Non-Michelin. On this last leg of our journey we look to implement the final step in securing our Virtual Desktops in the cloud by implementing a form of

Data

How to become a Data Driven Company in 10 simple steps

When your core business is selling tyre 1. Build A Data Custodian Network and a Data Catalogue 🕸️ The first step in becoming Data Driven is to identify the experts in the data within your company. Those would generally be people within your IT organisation that have a good understanding of

Architecture

Horizon Cloud VDI - Change Subscriptions or Build New & Universal Broker

Moving our Horizon Cloud VDI from a shared subscription to a dedicated one was not going to be as simple as I thought.

Kafka

The Michelin Guide: an unexpected event driven use case

tl;dr content publication is a challenge for an institution like the Michelin guide. Event streaming between SaaS solutions using Kafka hosted in Confluent cloud was a solution for us to move from a 2 days delay publication to near real time. Although it was not easy especially from an

Architecture

Migrate Applications from Kafka On-Premise to Confluent Cloud

Michelin introduced Kafka back in 2018 with some on-premises clusters. In my previous article, I shared how Kafka helped Michelin to learn distributed architectures as well as the complexities and difficulties we faced when managing these Kafka clusters. In this article I would like to explain how we migrated all

Architecture

Under the hood of our blogging platform

This article is a REX on how we choose and implement our blogging platform to meet our needs. Comparison between Ghost, Wordpress, Medium and Dev.to.

Architecture

Edge Service using Quarkus and Mutiny

In this blog post we will see how, in a micro services architecture, we can leverage on Mutiny the Quarkus reactive framework to create an Edge Service and compose asynchronous HTTP API calls from other microservices.

Automation

Network and DevOps - Our Beginnings

In a previous post I mentioned how Network needed to adopt DevOps principles in order to achieve the speed and agility required to meet the business needs (As a reminder, that post is here [https://blogit.michelin.io/netdevops-or-devnetops/] ). What does that really mean and how does a company start

Architecture

A story on how Michelin continuously modernizes its information system

Introduction Over 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 to the VUCA [https://en.wikipedia.org/wiki/Volatility,_uncertainty,_complexity_and_ambiguity] world and we have many transformations

Architecture

Moving from orchestration to choreography - Part 2

In the first article [https://blogit.michelin.io/choregraphy-or-orchestration-thats-the-question/] 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) to a choreography of micro-services. This second article will focus on a critical step of

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 apply them in your own products,

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 Featured

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.