Last month, OVH and Binder team partnered together in order to support the growth of the BinderHub ecosystem around the world. With approximately 100,000 weekly users of the mybinder.org public deployment and 3,000 unique git repositories hosting Binder badges, the need for more resources and computing time was felt. Today, we are thrilled to announce …
When discussing the concepts of DevOps and Infrastructure-as-a-Code, the tools developed by HashiCorp quickly come up. With Terraform, HashiCorp offers a simple way to automate infrastructure provisioning in both public clouds and on-premises. Terraform has a long history of deploying and managing OVH’s Public Cloud resources. For example, you can find a complete guide on …
The CDS Workflow is a key feature of OVH CI/CD Platform. This structuring choice to add an additional concept above CI/CD pipelines and jobs is definitely an essential feature after more than three years of intense use.
Before going further on the explanation of a CDS workflow, we will make some reminders about the concepts of pipelines and jobs. Those concepts are based on the reference book 8 Principles of Continuous Delivery.
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.
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, …