storage

Integration of storage services (part 6)

Integration of storage services (part 6)

In Part 5 this series, we looked into details that determine how your integration becomes the key to transforming your customer experience.

It started with laying out the process of how I’ve approached the use case by researching successful customer portfolio solutions as the basis for a generic architectural blueprint. Now it’s time to cover various blueprint details.

This article covers the final elements in the blueprint, storage services, which are fundamental to the generic architectural overview.

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Monitoring RHGS

Monitoring RHGS

OK so you watched:

https://www.redhat.com/en/about/videos/architecting-and-performance-tuning-efficient-gluster-storage-pools

You put in the time and architected an efficient and performant GlusterFS deployment. Your users are reading and writing, applications are humming along, and Gluster is keeping your data safe.

Now what?

Well, congratulations you just completed the sprint! Now its time for the marathon.

The often forgotten component of performance tuning is monitoring, you put in all that work up front to get your cluster performing and your users happy, now how do you ensure that this continues and possibly improves? This is all done through continued monitoring and profiling of your storage cluster, clients, and a deeper look at your workload. In this blog we will look at the different metrics you can monitor in your storage cluster, identify which of these are important to monitor, how often to monitor them, and different ways to accomplish this.

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Dynamic Persistent Storage Using the Red Hat Container Development Kit 3.0

Dynamic Persistent Storage Using the Red Hat Container Development Kit 3.0

Note: This article describes the functionality found in the Red Hat Container Development Kit 3.0 Beta. Features and functionality may change in future versions.

In a prior article, Adding Persistent Storage to the Container Development Kit 3.0, an overview was provided for utilizing persistent storage with the Red Hat Container Development Kit 3.0, the Minishift based solution for running the OpenShift Container Platform from a single developer machine. In the prior solution, persistent storage was applied to the environment by pre-allocating folders and assigning Persistent Volumes to the directories using the HostPath volume plugin. While this solution provided an initial entry point into how persistent storage could be utilized within the CDK, there were a number of issues that limit the flexibility of this approach.

  • Manual creation of directories on the file system to store files persistently.
  • Persistent Volumes need to be manually created and associated with previously created directories.

The primary theme in these limitations is the manual creation of resources associated with storage. Fortunately, OpenShift has a solution that can both automate the allocation of resources using a storage plugin that is common in many environments.

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Summit Live Blog: Building Exascale Active Archives with Red Hat Ceph Storage

Software defined storage is a leading technology in our industry with more and more platforms and enterprises are using software defined storage (SDS) to store unstructured data. Today, object storage is a primary workload on SDS as organizations are looking to implement active archives for enhanced access and long term storage. Red Hat’s Steve Bohac and Neil Levine covered the bright future for SDS: object storage, active archives, and how Red Hat Ceph provides a solid foundation for all of your storage needs.

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