OpsRamp helps IT teams monitor the availability of physical, logical, and virtual storage resources with performance indicators for storage capacity, overall utilization, and disk latency. IT teams can optimize their storage environments with granular visibility for storage components such as volume, fiber channel, RAID, SAN switches, LUNs, caches, and disks.

In a world where organizations store and process more data with each passing year, technology has evolved to keep pace. For example, hard drive capacities have increased steadily and adoption of scalable cloud storage platforms has headed skyward. At the same time, storage vendors have introduced solutions to accelerate storage read and write times — which have historically been a bottleneck in computing.

I remember with some nostalgia the five-and-a-quarter-inch floppy disks, and then the more robust three-and-a-half-inch floppy disks. I shouldn’t even write the word rigid anymore, but you’ve got me: it’s for younger people to ask: “But how many kinds of disk are there?

Exoprise recently released new storage sensors for end-to-end monitoring and testing of Azure Blob or Amazon S3. These sensors, once deployed against a container, enable continuous monitoring of access performance, uptime and availability of Azure Blob storage or Amazon S3. They enable network and storage administrators to test network capacity, latency and effective bandwidth to the various object store regions and datacenters that support the stores.

Amazon EBS allows you to provision storage volumes for your EC2 instances without having to actually manage physical hardware. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor EBS and what is important to watch.

In this blog post, I will focus on configuring OpenEBS as a persistent storage option on the open-source self-managed OpenShift Origin and deploy a stateful workload (MongoDB) both from CLI and custom catalog template using OpenEBS storage classes.

At LogDNA, we’re all about speed. We need to ingest, parse, index, and archive several terabytes of data per second. To reach these speeds, we need to find and implement innovative solutions for optimizing all steps of our pipeline, especially when it comes to storing data.

Portworx provides solutions for Kubernetes storage as well as other leading container schedulers, dramatically reducing storage, compute, and infrastructure costs for running mission-critical, multi-cloud applications with zero downtime or data loss. With Portworx, you can manage any database or stateful service on any infrastructure using any container scheduler. Portworx is trusted by many of the world’s most sophisticated IT organizations including Comcast, GE, Lufthansa Systems, the U.S.