Quelle équipe de développement ne s’est jamais confrontée à la complexité de Kubernetes et Helm ? Lors de nos projets de migration vers Kubernetes, nous avons constaté que les développeurs souhaitent aider les équipes DevOps tout en restant concentrés sur la partie développement, comment optimiser la complémentarité de ces départements ? Nous avons donc orienté notre R&D vers la résolution de cette problématique pour pouvoir proposer à nos clients un outil simple et efficace capable de faciliter l’automatisation des déploiements.

Cet article a pour but aujourd’hui de vous présenter l’outil Garden.io, …


I want to share with you a cost optimization that you can do if you are using Data Studio on BigQuery (aka BQ). If you don’t care about your money, this article is not for you ;-)

To use BQ, most of the time, you have loaded your data into BQ tables and run your queries on them. A best practice is to partition your data to be able to read data for a particular day or on a specific date range. It’s also an effective way to reduce your processing costs.

BQ have 2 main mechanisms to partition your…


The facts

Google Cloud Platform is very powerful but you must keep an eye on your running cost. Indeed, even if you can easily create budget alerts on your billing account, it does not mean it avoid any risks with service over-consumption. Since few weeks, you can rely on included console reports but you don’t have an high level of details. For exemple, what is the storage consumption by region or by labels, wich team consumes which services…

To satisfy this need of billing details, you should create your own billing report dashboards.

The Big Query/Data Studio solution

Google provides a billing export feature which automatically loads…

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