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Items Tagged: InfoSight

Profiles/Reports

Nimble Storage InfoSight: Transforming the Storage Lifecycle Experience with Deep-Data Analytics

The job of a storage administrator can sometimes be a difficult and lonely one. Administrators must handle a broad set of responsibilities, encompassing all aspects of managing their arrays and keeping up with user demands. And yet, flat IT budgets mean administrators are spread thin, with limited time to manage storage through its lifecycle, let alone improve and optimize storage practices and services.

In most organizations, the storage lifecycle is managed manually, as a complex and disjointed set of activities. Maintenance and support tend to be highly reactive, forcing administrators to play “catch up” each time a storage problem occurs. Monitoring and reporting rely on complex tools and large amounts of data that are difficult to interpret and act upon. Forecasting and planning are more art than science, leading administrators to overprovision to be on the safe side. These various lifecycle activities are seldom connected and inherently inefficient, and fail to provide administrators with the insight they need to anticipate issues and develop best practices. This, in turn, can put system availability and performance at risk, while reducing IT productivity.

Fortunately, one innovative vendor—Nimble Storage—has developed a powerful, data sciences-driven approach that promises to transform the storage lifecycle experience. Based on deep data collection, intelligent and predictive analytics, and automation built on storage and application expertise, Nimble InfoSight streamlines the storage lifecycle, providing administrators with the insights needed to optimize their arrays while also increasing their productivity. InfoSight collects and analyzes over 30 million data points each day from every installed Nimble Storage array worldwide, and then makes the resulting intelligence available both to Nimble engineers and customers. InfoSight automated analysis helps to proactively anticipate and prevent technical problems, significantly reducing the support burden on administrators. InfoSight also provides administrators with an intuitive, dashboard-driven portal into the performance, capacity utilization and data protection of their arrays, enabling them to monitor array operations across multiple sites and to better plan for future needs. By streamlining and informing key activities across the storage lifecycle, InfoSight simplifies and enhances day-to-day administrative tasks such as support, monitoring and forecasting, while enabling administrators to focus on more important initiatives.

To put a human face on InfoSight intelligence, Nimble Storage has also unveiled a new user community. The community allows users to connect and share ideas and resources via discussion forums, knowledge bases, and social media channels. The Nimble community will enable the company’s large and loyal customer base to write about and share their experiences and insights with each other, as well as with prospective users. Together, InfoSight and the Nimble community will give storage administrators unprecedented access to anonymized installed based data and peers’ expertise, enabling them to stay on top of their game and get more out of their arrays.

In this profile, we’ll examine the challenges administrators typically face on a day-to-day basis, and then take a closer look at InfoSight capabilities, and how they address these issues. We’ll then learn how two Nimble customers have benefited from InfoSight in several important ways. Finally, we’ll briefly examine the Nimble community, and discuss how these two initiatives together are empowering administrators through a combination of shared user data and insights.
 

Publish date: 04/15/13
news

Nimble Storage Launches NimbleConnect, a New Collaborative Community for Storage Professionals

SAN JOSE, CA--(Marketwired - Apr 9, 2013) - Nimble Storage, the leading provider of flash-optimized hybrid storage solutions, today announced NimbleConnectâ„¢, an online community where Nimble Storage customers, partners, and other IT professionals can access technical information, practical suggestio

  • Premiered: 04/09/13
  • Author: Taneja Group
  • Published: MarketWire.com
Topic(s): TBA Nimble TBA Jeff Byrne TBA NimbleConnect TBA Storage TBA Hybrid TBA Array TBA InfoSight
news

Nimble launches all-flash shelf instead of all-flash array

Nimble Storage, looking to break into the enterprise, today launched its highest capacity hybrid flash array and a solid-state drive (SSD) shelf as part of what it calls its Adaptive Flash platform.

  • Premiered: 06/11/14
  • Author: Taneja Group
  • Published: Tech Target: Search Solid State Storage
Topic(s): TBA Nimble Storage TBA Nimble TBA SSD TBA Flash TBA Adaptive Flash TBA InfoSight TBA analytics TBA latency TBA all flash array
news / Blog

HPE acquires Nimble for $1B

On March 8, HPE announced it will be acquiring Nimble for approximately $1B. This acquisition comes on the heels of the acquisition of SimpliVity for $650M that closed on February 17, 2017.

news

Smarter storage starts with analytics

Storage smartens up to keep pace with data-intensive business applications embedding operational analytics capabilities.

  • Premiered: 04/03/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Storage TBA storage analytics TBA analytics TBA Artificial Intelligence TBA AI TBA software-defined TBA Flash TBA SSD TBA In-Memory TBA Hybrid Cloud TBA hybrid cloud tiering TBA cloud tiering TBA Cloud TBA Performance TBA Security TBA Metadata TBA API TBA HPE TBA BMC TBA Saas TBA remote storage TBA NetApp TBA Cassandra TBA HBase TBA Spark TBA Big Data TBA big data analytics TBA InfoSight TBA cluster TBA VM-aware
Profiles/Reports

HPE InfoSight: Cross-stack Analytics

Accurate and action-oriented predictive analytics have long been the Holy Grail of IT management. Predictive analytics that bring together large amounts of real-time data with powerful analytical capabilities have the potential to provide IT managers with real-time, data-driven insights into the health and performance of their overall environment, enabling them to anticipate and remediate looming issues and optimize resource utilization. While these potential benefits have long been understood, it has only been recently that major innovations in cloud, Internet of Things (IoT), data science, and AI/machine learning have paved the way for predictive analytics to become a reality in the data center.

The IoT now enables companies to collect and monitor real-time sensory or operational data at the edge—whether in online financial systems, retail locations, or on the factory floor. This raw data is typically streamed to the cloud, where it can be tabulated and analyzed. Powerful advances in edge-to-cloud networks and global learning capabilities make the cloud an optimal location for the analytics to take place. Informed by data science and increasingly driven by AI and machine learning technologies, these analytics can help IT managers to monitor key system metrics and understand how well specific infrastructure elements—such as servers or storage—are performing.


But analytics that are focused on a single infrastructure element at a time can only go so far. Sure, it is helpful to monitor the health and performance of specific IT resources, such as CPU heartbeat or storage latency, but infrastructure resources do not operate independently or in isolation. Analytics must go beyond one dimension, and take into account how resources such as servers and storage interact with and depend on one another. This is especially critical in virtualized infrastructures, in which the interaction of virtual machines with hosts, networks and storage makes IT management even more challenging. Ideally, using the power of AI, analytics can cross these various layers of the IT stack to reveal the impact of resource interactions and interdependencies among all the layers. This would take analytics to a whole new level, transcending the limits of human intelligence to enable dynamic, multi-dimensional analysis of complex, virtualized IT environments.

Think about the implications of AI-driven, cross-stack analytics for IT management. For example, such a capability has the potential to transform technical support from a reactive, always-playing-catch-up function to a proactive and forward-looking capability. In this scenario, built-in analytics are capable of connecting the dots between infrastructure layers to automatically anticipate, diagnose, and fix technical issues before they become major problems. Cross-layer analytics might also help to improve system performance by predicting looming configuration issues and recommending changes to address them.


One product—HPE InfoSight—is already embracing these possibilities, fast-forwarding to bring AI-driven, cross-layer analytics to virtualized environments today. HPE InfoSight has proven its value in delivering predictive storage analytics to customers for many years, while extending its capabilities across the infrastructure stack. In this piece we’ll explore the key characteristics that customers should look for in an analytics solution for virtual infrastructure and then look at the HPE InfoSight architecture and its capabilities, and how they are helping customers transform IT management in virtualized environments today. Specifically, we will demonstrate how one customer uses cross-stack analytics delivered by HPE InfoSight to save tremendous time and money in their HPE 3PAR Storage environment.

Publish date: 06/28/18
Profiles/Reports

HPE Brings Multi-Cloud Storage to the Enterprise

Companies in every industry and from every corner of the world are increasingly adopting cloud storage, addressing use cases such as backup, archiving and disaster recovery. More than 96% of organizations we recently surveyed are housing at least some of their data in the cloud, up from just 65% five years before. Firms deploying storage in the cloud are looking to increase IT agility and workload scalability, while taking advantage of a more flexible, pay-as-you-go consumption model.

But for enterprises and mid-sized organizations alike, the cloud journey nearly always starts on premises. A large majority of organizations still run the core of their business-critical workloads in the data center, supported by significant and proven investments in on-premises hardware, workflows and business processes that support key business apps and ensure maximum value to users and other stakeholders. Not surprisingly, IT decision makers tread carefully when it comes to considering public cloud deployments for their critical apps or data.

To get the best of the cloud without compromising current IT investments, a growing majority of decision makers are now focusing on solutions with hybrid and multicloud capabilities. Hybrid cloud enables them to gain value from the cloud from day 1, while fully leveraging their on-prem infrastructure. Under a hybrid model, companies can deploy selected apps that make sense to run in the public cloud, but still run a majority of their core business workloads on-premises. They can also employ a dev-ops approach to begin to develop and run cloud-native apps.

Multicloud takes those benefits one step further, enabling portability of workloads between two or more clouds. Organizations we surveyed are now working with at least two major public cloud providers, on average, enabling them to avoid lock-in to a single provider and to choose the provider that best meets the needs of each app and use case. Together, hybrid and multicloud offer an attractive and measured approach for companies looking to deploy some of their workloads in the cloud.

In this piece we’ll examine the customer journey to cloud storage, including some important considerations companies should keep in mind as they decide what approach will work best for them. We’ll then describe HPE’s storage platforms, which are built for cloud and provide a powerful and unique approach to multicloud storage. Finally, we’ll look at the advantages that HPE storage delivers over other cloud storage deployment models, and show how these HPE platforms are helping enterprises to maximize the potential of their cloud storage initiatives.

Publish date: 09/21/18
Profiles/Reports

HPE RMC 6.0: Extending Beyond Copy Data Management

If you’ve worked in IT, you know that a large percentage of your company’s data has been copied at least once, and often multiple times, to meet the needs of various use cases. Whether it’s backup copies for data protection, archival copies for compliance, or clones for test/dev or analytics, any particular set of data is likely to have spawned one or more copies. While these copies are nearly always made for a good reason, in many organizations they have spiraled out of control, creating a copy data sprawl that is tough for IT to get its arms around, let alone manage. As copies of data have proliferated, so have the pain points of greater storage complexity, footprint and cost. The performance of production databases also suffers as copies are made for secondary applications.

It is these very issues that copy data management (CDM) is designed to address. CDM solutions focus on eliminating unnecessary duplication of production data to reduce storage consumption, generally through the use of data virtualization and data reduction technologies. The results can be compelling. Nearly one-third of the companies that Taneja Group recently surveyed have either adopted CDM solutions or are actively evaluating them, looking to achieve benefits such as reduced storage costs, faster data access, and better data visibility and compliance.

But while first-generation CDM offerings have proven helpful, they are not keeping up with the demands of new technologies and user requirements. In particular, Flash and Cloud bring new data management opportunities and challenges that cannot be addressed by traditional CDM solutions. User needs and expectations for CDM are also expanding, moving beyond just policy-based snapshot management among homogeneous arrays.

As we’ve learned in our research, next-gen CDM must meet a new set of user needs driven by Flash and Cloud innovations, including support for heterogeneous arrays, greater but less hands-on control of copies based on intelligent policy-based automation, and coverage of new use cases across the data lifecycle, such as test/dev, reporting and analytics. Customers are also looking for integrated solutions that combine CDM with data protection and other secondary storage functions.

As we’ll see, HPE Recovery Manager Central (RMC) 6.0 provides all these capabilities and more. In fact, we’ll argue that the updated RMC 6.0 offering has helped to make HPE a leader in the data management space, streamlining costs and enriching the experience of HPE customers while still delivering on the backup and recovery features that RMC is well known for.

Publish date: 10/16/18