To keep up with the capacity and performance demands, IT is continually adding new storage systems to the data center. At Storage Switzerland, we find it is not uncommon for an organization to have seven or more different storage systems…
Blog Archives
What is SRMaaS?
Tagged with: AI, All-Flash, Clear Technologies, Cloud, Hyperconvergence, IoT, ML, SRM, SRMaaS
Posted in Blog
Posted in Blog
Webinar: Three Reasons SRM is Broken and How to Fix It
Storage Resource Management (SRM), given the growth in storage capacity, the increased emphasis on performance, and the number of storage systems IT is implementing, should be the most popular application category within the storage market. The reality is that SRM…
Tagged with: AI, All-Flash, Clear Technologies, Cloud, Hyperconvergence, IoT, ML, SRM, SRMaaS
Posted in Webinar
Posted in Webinar
Lightboard Video: What is SRM as a Service?
Storage Resource Management is too complicated, doesn’t provide a complete enough view of the storage infrastructure, and is incredibly expensive. As a result, most organizations count on vendor tools to capture storage data. Then they manually consolidate that data in…
Tagged with: AI, All-Flash, Clear Technologies, Cloud, Hyperconvergence, IoT, ML, SRM, SRMaaS
Posted in Video
Posted in Video
Webinar: Are You Treating Unstructured Data as a Second Class Citizen?
Unstructured data is the fastest-growing segment of data within most enterprises today. This data set contains the creative output of the organization’s employees as well as unique data captured by sensors and machines. Unstructured data is large in terms of…
Tagged with: Aparavi, Archive, CCPA, Cloud, GDPR, Purpose Built, Ransomware, Snaphots, Unstructured data, Virtual machine, Virtualize
Posted in Webinar
Posted in Webinar
Lightboard Video: 5 Essential Storage Needs for Global 1000 Cloud Deployments
As the large enterprises look to the cloud to deliver agility and remove complexity and cost, data requirements and storage infrastructure often stands right in the way of achieving organizational goals. To get storage out of the way so IT…
Tagged with: AI, Archive, Consolidation, Datera, Flash, HCI, HDD, Hyperconverged, ML, Scale-Out, SDDC, SDS, Software Defined
Posted in Video
Posted in Video
Lightboard Video: Data Protection and Mobility for HCI and the Public Cloud
Organizations are evolving their data centers to be more cloud-like. A significant component of these initiatives is to invest in hyperconverged infrastructures (HCI). Organizations are implementing HCI at multiple locations and, at the same time, are moving some workloads to…
Tagged with: Cloud, Compression, Consolidation, Deduplication, HYCU, Hyperconverged, Replication, Snapshots, Sprawl
Posted in Video
Posted in Video
Lightboard Video: Dealing with Multi-Cloud Data Management Complexity in 2020
This year, and for most of this decade, data centers will be dealing with the cloud, containers, and copy data. Using the public cloud is top of mind for every organization, but using the cloud intelligently and developing a strategy…
Lightboard Video: How to Lower the Cost of Backup Infrastructure
The cost to store backups on-premises is already a significant expense for data centers to endure and the rapid growth in unstructured data is pushing budgets to the breaking point. Cloud Storage, because of its low cost and infinite scalability,…
Tagged with: Archive, as-a-Service, Backup, Cloud, Data management, Igneous, ROI, Unstructured data, Virtual machine
Posted in Video
Posted in Video
Creating a Ransomware Recovery Plan in 2020
In 2020, planning, preparing, and practicing for a Ransomware Recovery should be job #1. The Problem with Ransomware Recovery Predicting that ransomware is going to impact organizations during the coming decade is like predicting that it is going to be…
Tagged with: Baas, Backups, Cloud, dr, DRaaS, Encryption, IaaS, iland, Migration, Object Storage, Ransomware, Recovery
Posted in Blog
Posted in Blog
Lightboard Video: Maximizing AI Performance with Dedicated Infrastructure
High-Performance Computing (HPC) and scalable Artificial Intelligence (AI) workloads typically use parallel file systems to make sure that all the computing nodes in a cluster can directly access the data they need without being bottlenecked by control nodes. Organizations running…
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