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
The Requirements of AI at Scale Storage Infrastructures
Artificial Intelligence (AI) at scale raises the bar for storage infrastructure in terms of capacity and performance. It is not uncommon for an AI or machine learning (ML) environment to expect growth to dozens if not hundreds of terabytes of…
Understanding the Problem of Unification in Most Software-Defined Storage Solutions
The promise of software-defined storage (SDS) aims to unify all of your organization’s storage assets through a single user interface. But that interface is supposed to do more than provide a single pane of glass for monitoring. It is also…
Tagged with: All-Flash, Bare Metal, Container, DataCore, Fibre Channel, Hyperconverged, ISCSI, NFS, NVMe, SDS, SMB, SSD, Virtualization, VM
Posted in Blog
Posted in Blog
Webinar: Designing Storage Infrastructures for AI Workloads
Artificial Intelligence (AI) and Machine Learning (ML) workloads are fundamentally different from any other workload. These workloads deal in data sets measured in dozens of petabytes of capacity, and large percentages of it can go from dormant to active at…
Are All-Flash Arrays All Wrong for AI and DL Workloads?
When designing a storage infrastructure for an artificial intelligence (AI) or deep learning (DL) workload, the default assumption is that an all-flash array (AFA) or something even faster must be at the heart of the design. The problem is as…
Tagged with: AFA, AI, All-Flash, Artificial Intelligence, Deep Learning, DL, Flash, Metadata, Object Storage, SwiftStack
Posted in Blog
Posted in Blog
Does All-Flash Kill Data Management?
Most of today’s modern storage systems have a scale-out design, meaning they can expand to meet almost all of the data center’s capacity requirements. Also, since an increasing number of these systems are all-flash, they can meet most data center’s…
Can Current Storage Infrastructure Meet the AI at Scale Demand?
In our last blog we covered the challenges that AI at scale creates for storage infrastructures. To support the coming wave of AI applications, storage infrastructures need to deliver a tremendous amount of storage capacity with the ability to retain…
Complexity is Killing Secondary Storage
Most organizations only use their secondary storage infrastructure as protection storage. In some cases, this is because the secondary storage hardware only supports the backup use case. Even if the organization selects more flexible secondary storage hardware, it still primarily…
Tagged with: All-Flash, Archive, Cloud NAS, Cohesity, Compression, Deduplication, Dev/Test, Flash, Hybrid, IoT, NAS, Object Storage, SMB
Posted in Briefing Note
Posted in Briefing Note
