"If knowledge is not put into practice, it does not benefit one."
–Muhammad Tahir-ul-Qadri
From a cloud user perspective, running a workload in an OpenStack environment can take many stages, from provisioning and allocating necessary resources and to accessing an entry point in which end users can perform their tasks. On the other hand, by looking at the maturity of the OpenStack services across all different releases, we can observe clearly that its ecosystem has been designed to facilitate, as much as possible, running any type of workload from big data to the containerization era. Undoubtedly, the orchestration engine of OpenStack has gained potential growth that has been extended to automate different sets of services and user needs in the cloud environment as we have explored in Chapter 5, Containerizing...