Webinar

Agile development and persistent storage implications for cloud-native applications

4. Oktober 2018 13:00 UTC

Agile development and persistent storage implications for cloud-native applications

As organizations strive to transform their business, cloud-native application and microservices development has gained popularity and adoption. However, delivering on shrinking timelines, and being more adaptive and innovative in developing these cloud-native apps requires a different approach and platform to design, develop, and deploy solutions.

Containers have gained an overwhelming acceptance for such workloads due to the agility and flexibility they offer to DevOps communities. Still, many operations teams have overlooked the important role of the underlying storage infrastructure prior to deploying the container-based environment. Stateful applications require persistent storage, and while there are several ways to provide persistent volumes to containers, delivering a modern DevOps platform with an archaic, clumsy storage platform can prevent success. Development teams need software-defined, container-based storage that is easy to use, highly available, flexible, and allows for faster development cycles for their stateful applications and services.

In this webinar, we'll discuss the current state of storage and the challenges legacy storage present for teams implementing container environments. We’ll cover:

  • Storage implications for container platforms.
  • Performance for database environments in containers.
  • What to look for when choosing a software-defined, container-based storage solution.
  • How Red Hat® OpenShift® Container Storage provides an integrated, dynamic approach to container storage.

 

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Michael St-Jean

principal product marketing manager, Red Hat

Michael St-Jean is a principal product marketing manager for Red Hat Storage. He focuses on software-defined storage, especially relating to Red Hat Ceph® Storage and Red Hat Gluster® Storage. He’s delivered sessions on containers and persistent storage, performance, hyperconverged architectures, and analytics.