The state of maturity of continuous integration is a challenge that organizations often face and that also has an impact on Big Data applications. The aggravating factor in the continuous integration for Big Data platforms is the realization of end-to-end tests and the complexity of the testing infrastructure.
In this practical session, Sergio Rodríguez de Guzmán, CTO at PUE will show us how to reduce the costs and times for start-ups. Both through the use and taking advantage of the flexibility of the Cloud to create infrastructures of test environments as well as through the erection of clusters for temporary end-to-end tests.
Scenarios related to the integration and continuous deployments and their associated technologies will be addressed. Examples based on Docker about Kubernetes, Cloudera and Google Cloud Dataproc will be specifically looked at.
Sergio Rodríguez de Guzmán, CTO at PUE.
Leader of the consulting and support team at PUE. A telecommunications engineer, he has extensive experience in technologies such as Big Data, Cloud, NoSQL, Oracle databases, Sun / Solaris, Fullstack and DevOps, demonstrated and validated by his numerous certifications in these technologies. His track record allows him to provide a global vision of architecture in critical solutions for clients, as well as in the development of solutions that enrich their architectures.