Essential Guide
The evolution of data center storage architecture
Changes in the data center storage architecture are at the forefront of how IT infrastructure evolves to tackle emerging workloads and handle new applications.
Introduction
Big data and other new applications push forward advances in data center storage architecture, from hyper-converged infrastructure and server-side storage to data-awareness built into arrays.
This guide explores which technologies move storage in the data center forward, the ways in which storage is evolving, and how these evolutions affect enterprises.
1HCI pushes storage changes-
The converged and hyper-converged effect on storage
Converged and hyper-converged infrastructure needs have pushed the limits of data center storage architecture. Find out how it advanced.
SAN might not be what you need
Hyper-convergence cuts the traditional costs and required skills associated with storage and compute. So if you've always used a storage-area network, it's time to reevaluate. Continue Reading
The ins and outs of storage in a converged architecture
Storage I/O access should increase with converged infrastructure, but issues can arise. Consider creating a dedicated storage tier and a converged storage tier if predictable performance is a concern. Continue Reading
The storage benefits -- and quandary -- of HCI
The ease with which you can scale-out hyper-converged systems means increasing storage capacity is a breeze. But the fact that you add nodes rather than slotting in disks to expand storage does produce some downsides. Continue Reading
VCE pivots to become EMC's converged division
The once joint venture turned partially independent company VCE will now become the EMC Federation's Converged Platform Division , offering products like Vxblock. Continue Reading
The Twitterverse discusses their impressions of the Dell-EMC storage merger
Check out what analysts and IT pros think about the combination of Dell, EMC and VMware in a proposed blockbuster deal spanning many areas of a data center storage architecture. Continue Reading
2Glossary-
Data center storage architecture terms
Don't let data center storage terminology trip you up. Reference these definitions to glean a better understanding of data center storage architecture.
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3Storage becomes self-aware-
Make storage data-aware for intelligent Ops
Data-aware storage replaces regular storage arrays to manage and organize data automatically and efficiently. This awareness aids performance for the IT team, as well as for the business end users that rely on stored information.
Out with the old, in with the new
With companies looking to do more with the data they collect, data-aware storage provides them with insight into their data with minimal effort. Continue Reading
Businesses benefit from data-aware storage
Data-aware storage is an IT decision regarding vendors, storage management and data center storage architecture. The technology then helps companies make decisions, by turning data into business intelligence. Continue Reading
Data-aware storage provide IT pros with insightful information
Better regulatory compliance, stronger security of business information and easier management are some of the benefits that data-aware storage promises. Continue Reading
On-site storage arrays gain major IQ points
Companies considering switching to cloud storage may find the features of data-aware storage reason enough to keep them grounded. Continue Reading
Data-aware storage vendor spreads support to Hyper-V
In addition to supporting Microsoft Hyper-V, DataGravity added new file location monitoring, as well as security and support features. Continue Reading
4What's replacing OG storage?-
SSDs, object storage and increased flash resiliency
Innovations in storage pushed the technology to new standards for reliability, cost and speed. What type of storage, how much to buy and from whom, and how it changes your current data center storage architecture are all questions tackled below.
HDD become obsolete in 2016
The reasons for not migrating over to SSDs are tiny compared to the large lists of benefits, according to one expert in the field. Continue Reading
Server-side flash puts storage even closer to the app
Quell the "slow" complaints about more demanding applications with server-side flash, rather than an app rewrite. Continue Reading
Object storage, SSDs push out traditional data center storage
IT pros must change who, where and what they invest in when it comes to data center storage, as new technologies and advancements alter the decades-old landscape. Continue Reading
Increase data protection with object storage
Object storage provides a variety of data protection features, such as erasure coding to multicopy mirroring, which increases its value to businesses. Continue Reading
How to choose the best flash storage for your data center
While all-flash data centers are still far in the future for most enterprises, server-side and array-based flash storage allow you to deploy speedy storage at a variety of price and performance points today. Continue Reading
5Big data and IoT-
A shakeup in storage architectures for big data, IoT
The Internet of Things (IoT) and big data are already changing data center storage architectures to match their demands. See how varied and rapidly growing data sets influence data center and cloud storage choices.
Which storage architecture best suits big data?
High throughput, scaling and I/O balancing mechanisms are key features for big data storage architectures to perform at their best. Continue Reading
Talena ActiveRx analyzes big data use
The new storage software in Talena Big Data Availability Management software, ActiveRx, adds predictable intelligence analysis on backup storage to predict application use. Continue Reading
Make sure the data center has room for IoT
IoT produces a constant stream of data that places a strain on the data center storage architecture's capacity. How will it evolve to ease the pain? Continue Reading
The importance of SSDs for big data analytics
While SSDs can speed up analytics, this type of storage should only be used in specific big -data processing environments to see measurable returns on the investment. Continue Reading
Everyone wants a piece of big data
Legacy, as a service and multiple cloud vendors are all building infrastructure products to support big data. But who leads the pack? Continue Reading
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