Welcome,
Iniciar sesión en su cuenta de Red Hat
Con su cuenta de Red Hat puede acceder a su perfil de miembro y sus preferencias, además de a los siguientes servicios teniendo en cuenta su estado de cliente:
- Portal de clientes
- Red Hat Connect para partners empresariales
- Gestión de usuarios
- Central de certificación
¿Aún no se ha registrado? Le ofrecemos varios motivos por los que debería hacerlo:
- Consulte artículos de la base de conocimiento, gestione casos de soporte y suscripciones, descargue actualizaciones y mucho más desde una misma ubicación.
- Consulte los usuarios de la organización, y edite la información, preferencias y permisos de sus cuentas.
- Gestione sus certificaciones de Red Hat, consulte el historial de exámenes y descargue logotipos y documentos relacionados con las certificaciones.
Con su cuenta de Red Hat puede acceder a su perfil de miembro, sus preferencias y otros servicios dependiendo de su estado de cliente.
Por seguridad, si está en un equipo de acceso público y ya ha terminado de utilizar los servicios de Red Hat, cierre sesión.
Cerrar sesiónBlog de Red Hat
Blog menu
By Amrik Jalif, Head of Storage UK&I, Red Hat
Container technology offers significant improvements in application density and deployment time. Containers have the versatility and power to do to virtualized environments what virtualization did to “a single server for every app.” Density goes up from 20 virtual machines per node to the equivalent of 50. Managing storage in a containerized world should be easy and automated. By containerizing the storage layer, developers have much more control over their environments.
In previous posts, we’ve outlined how Red Hat Storage can offer significant benefits to enterprises looking to deploy applications in containerized and PaaS environments, such as OpenShift Enterprise. We now have benchmark studies that compare performance between accessing GlusterFS from applications running on bare-metal x86 servers vs. from application containers in a PaaS environment, as in in OpenShift Enterprise.
We used the Flexible IO (FIO) tool in distributed mode as the workload generator for random and sequential workloads. We scaled OpenShift pods starting from 5 to 500, varying the file size and number of jobs in each pod while the dataset size was kept constant at 400GB. For a true “apples to apples” comparison, we ran distributed FIO on 6 OpenShift pods and on 6 bare-metal clients and scaled the pods from 5 to 1000 to push the limits on performance.
Virtualization of software-defined storage (SDS) impacts performance, and our expectations were based on experience with what we saw there. What we found was truly astounding! We were expecting to see a huge difference between bare metal vs. OpenShift. However, the results indicated, quite unequivocally, that there were very little delta between the two scenarios.
This is great news for customers looking to deploy Red Hat Gluster Storage as a persistent storage layer in OpenShift Enterprise. You get the best of both worlds: the equivalent performance of running applications on bare metal and all the provisioning, flexibility, and management capabilities that OpenShift offers for running containerized applications with tight storage integration through the volume plugins that have been built by Red Hat.
Learn more at www.redhat.com/storage and www.redhat.com/containers.