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CDS

How does OVH manage the CI/CD at scale?

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From git commit to production, the delivery process is the set of steps that take place to deliver your service to your customers. Continuous Integration and Continuous Delivery – CI/CD – are practices based on the Agile Values which aim to automate this process as much as possible.

The Continuous Delivery Team @OVH has a mission: to help the OVH developers to industrialize and automate their delivery process. The CD team is here to advocate CI/CD best practices and maintain the ecosystem tools, with a maximum focus on as-a-service solutions.

The central point of this ecosystem is a tool built in-house at OVH, named CDS.
CDS is an OVH opensource software, you will find it on https://github.com/ovh/cds with documentation on https://ovh.github.io/cds.

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CDS

Understanding CI/CD for Big Data and Machine Learning

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This week, the OVH Integration and Continuous Deployment team was invited to the DataBuzzWord podcast. Together, we explored the topic of continuous deployment in the context of machine learning and big data. We also discussed continuous deployment for environments like Kubernetes, Docker, OpenStack and VMware VSphere. If you missed it, or would like to review everything that was discussed, you

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TSL - Time Series Language

TSL: a developer-friendly Time Series query language for all our metrics

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At the Metrics team we have been working on time series for several years. From our experience the data analytics capabilities of a Time Series Database (TSDB) platform is a key factor to create value from your metrics. And these analytics capabilities are mostly defined by the query languages they support. 

TSL stands for Time Series Language. In a few words, TSL is an abstracted way, under the form of an HTTP proxy, to generate queries for different TSDB backends. Currently it supports Warp 10’s WarpScript and  Prometheus’ PromQL query languages but we aim to extend the support to other major TSDB.

To better understand why we created TSL, we are reviewing some of the TSDB query languages supported on OVH Metrics Data Platform. When implementing them, we learnt the good, the bad and the ugly of each one. At the end, we decided to build TSL to simplify the querying on our platform, before open-sourcing it to use it on any TSDB solution. 

Why did we decide to invest some of our Time in such a proxy? Let me tell you the story of the OVH metrics protocol!

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Upgrading vSphere

How we’ve updated 850 vCenter in 4 weeks

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Handling release management on enterprise software isn’t an easy job: updating infrastructures, coping with the fear of not being supported by the software editor, upgrading licenses to be compatible with new versions, and taking all precautions to rollback if something isn’t working as expected…

With OVH Private Cloud, we take away from you this responsibility, we are managing this time-costing and stressful aspect to allow you to concentrate in your business and your production.

But, this doesn’t mean it’s not a challenge for us neither.

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Le rôle d’Humain dans les entreprises numériques

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En 2017, OVH a beaucoup grandi à travers les recrutements que nous avons faits en Europe, le rachat d’une entreprise aux USA, la construction de 14 nouveaux Datacentres et le démarrage des activités en APAC. En moins de 18 mois, nous avons doublé le nombre d’employés en passant de 1200 personnes à 2500 personnes. BTW, je ne recommande pas de grandir aussi vite.  OVH est une entreprise

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OVH & Apache Flink

Handling OVH’s alerts with Apache Flink

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OVH relies extensively on metrics to effectively monitor its entire stack. Whenever they are low-level or business centric, they allow teams to gain insight into how our services are operating on a daily basis. The need to store millions of datapoints per second has produced the need to create a dedicated team to build a operate a product to handle that load: Metrics Data Platform. By relying on Apache Hbase, Apache Kafka and Warp 10, we succeeded in creating a fully distributed platform that is handling all our metrics… and yours!

After building the platform to deal with all those metrics, our next challenge was to build one of the most needed feature for Metrics: Alerting. 

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