Includes iSCSI, Fibre Channel or FC, InfiniBand or IB, SMI-S, RDMA over IP, FCoE, CEE, SAS, SCSI, NPIV, SSD.
All technologies relating to storage and servers are covered in this section. Taneja Group analysts have deep technology and business backgrounds and several have participated in the development of several of these technologies. We take pride in explaining complex technologies in a simple enough manner for IT, the press community and the industry at large to understand.
Several Nutanix customers shared with Taneja Group why they switched from traditional NetApp storage to the hyperconverged Nutanix platform. Each customer talked about the value of hyperconvergence versus a traditional server/networking/storage stack, and the specific benefits of Nutanix in mission-critical production environments.
Hyperconverged systems are a popular alternative to traditional computing architectures that are built with separate compute, storage, and networking components. Nutanix turns this complex environment into an efficient, software-based infrastructure where hypervisor, compute, storage, networking, and data services run on scalable nodes that seamlessly scale across massive virtual environments.
The customers we spoke with came from very different industries, but all of them faced major technology refreshes for legacy servers and NetApp storage. Each decided that hyperconvergence was the right answer, and each chose the Nutanix hyperconvergence platform for its major benefits including scalability, simplicity, value, performance, and support. The single key achievement running through all these benefits is “Ease of Everything”: ease of scaling, ease of management, ease of realizing value, ease of performance, and ease of upgrades and support. Nutanix simply works across small clusters and large, single and multiple datacenters, specialist or generalist IT, and different hypervisors.
The datacenter is not static. Huge data growth and increasing complexity are motivating IT directors from every industry to invest in scalable hyperconvergence. Given Nutanix benefits across the board, these directors can confidently adopt Nutanix to transform their data-centers, just as these NetApp customers did.
Taneja Group spoke with several Nutanix customers in order to understand why they switched from EMC storage to the Nutanix platform. All of the respondent’s articulated key architectural benefits of hyperconvergence versus a traditional 3-tier solutions. In addition, specific Nutanix features for mission-critical production environments were often cited.
Hyperconverged systems have become a mainstream alternative to traditional 3-tier architecture consisting of separate compute, storage and networking products. Nutanix collapses this complex environment into software-based infrastructure optimized for virtual environments. Hypervisor, compute, storage, networking, and data services run on scalable nodes that seamlessly scale across massive virtual assets. Hyperconvergence offers a key value proposition over 3-tier architecture: instead of deploying, managing and integrating separate components – storage, servers, networking, data services, and hypervisors – these components are combined into a modular high performance system.
The customers we interviewed operate in very different industries. In common, they all maintained data centers undergoing fundamental changes, typically involving an opportunity to refresh some portion of their 3-tier infrastructure. This enabled the evaluation of hyperconvergence in supporting those changes. Customers interviewed found that Nutanix hyperconvergence delivered benefits in the areas of scalability, simplicity, value, performance, and support. If we could use one phrase to explain why Nutanix’ is winning over EMC customers in the enterprise market it would be “Ease of Everything.” Nutanix works, and works consistently with small and large clusters, in single and multiple datacenters, with specialist or generalist IT support, and across hypervisors.
The five generations of Nutanix products span many years of product innovation. Web-scale architecture has been the key to Nutanix platform’s enterprise capable performance, simplicity and scalability. Building technology like this requires years of innovation and focus and is not an add-on for existing products and architectures.
The modern data center is quickly changing. Extreme data growth and complexity are driving data center directors toward innovative technology that will grow with them. Given the benefits of Nutanix web-scale architecture – and the Ease of Everything – data center directors can confidently adopt Nutanix as their partner in data center transformation just as the following EMC customers did.
Primary storage is often defined as storage hosting mission-critical applications with tight SLAs, requiring high performance. Secondary storage is where everything else typically ends up and, unfortunately, data stored there tends to accumulate without much oversight. Most of the improvements within the overall storage space, most recently driven by the move to hyperconverged infrastructure, have flowed into primary storage. By shifting the focus from individual hardware components to commoditized, clustered and virtualized storage, hyperconvergence has provided a highly-available virtual platform to run applications on, which has allowed IT to shift their focus from managing individual hardware components and onto running business applications, increasing productivity and reducing costs.
Companies adopting this new class of products certainly enjoyed the benefits, but were still nagged by a set of problems that it didn’t address in a complete fashion. On the secondary storage side of things, they were still left dealing with too many separate use cases with their own point solutions. This led to too many products to manage, too much duplication and too much waste. In truth, many hyperconvergence vendors have done a reasonable job at addressing primary storage use cases, , on their platforms, but there’s still more to be done there and more secondary storage use cases to address.
Now, however, a new category of storage has emerged. Hyperconverged Secondary Storage brings the same sort of distributed, scale-out file system to secondary storage that hyperconvergence brought to primary storage. But, given the disparate use cases that are embedded in secondary storage and the massive amount of data that resides there, it’s an equally big problem to solve and it had to go further than just abstracting and scaling the underlying physical storage devices. True Hyperconverged Secondary Storage also integrates the key secondary storage workflows - Data Protection, DR, Analytics and Test/Dev - as well as providing global deduplication for overall file storage efficiency, file indexing and searching services for more efficient storage management and hooks into the cloud for efficient archiving.
Cohesity has taken this challenge head-on.
Before delving into the Cohesity Data Platform, the subject of this profile and one of the pioneering offerings in this new category, we’ll take a quick look at the state of secondary storage today and note how current products haven’t completely addressed these existing secondary storage problems, creating an opening for new competitors to step in.
This Field Report was created by Taneja Group for Nutanix in late 2014 with updates in 2015. The Taneja Group analyzed the experiences of seven Nutanix Xtreme Computing Platform customers and seven Virtual Computing Environment (VCE) Vblock customers. We did not ‘cherry-pick’ customers for dissatisfaction, delight, or specific use case; we were interested in typical customers’ honest reactions.
As we talked in detail to these customers, we kept seeing the same patterns: 1) VCE users were interested in converged systems; and 2) they chose VCE because VCE partners Cisco, EMC, and/or VMware were embedded in their IT relationships and sales. The VCE process had the advantage of vendor familiarity, but it came at a price: high capital expense, infrastructure and management complexity, expensive support contracts, and concerns over the long-term viability of the VCE partnership (see an opinion of the DELL/EMC merger at end of this document). VCE customers typically did not research other options for converged infrastructure prior to deploying the VCE Vblock solution.
In contrast, Nutanix users researched several convergence and hyperconvergence vendors to determine the best possible fit. Nutanix’ advanced web-scale framework gave them simplified architecture and management, reasonable acquisition and operating costs, and considerably faster time to value.
Our conclusion, based on the amount of time and effort spent by the teams responsible for managing converged infrastructure, is that VCE Vblock deployments represent an improvement over traditional architectures, but Nutanix hyperconvergence – especially with its web-scale architecture – is an big improvement over VCE.
This Field Report will compare customer experiences with Nutanix hyperconverged, web-scale infrastructure to VCE Vblock in real-world environments.
Full Database Protection Without the Full Backup Plan: Oracle’s Cloud-Scaled Zero Data Loss Recovery
Today’s tidal wave of big data isn’t just made up of loose unstructured documents – huge data growth is happening everywhere including in high-value structured datasets kept in databases like Oracle Database 12c. This data is any company’s most valuable core data that powers most key business applications – and it’s growing fast! According to Oracle, in 5 years (by 2020) most enterprises expect 50x data growth. As their scope and coverage grow, these key databases inherently become even more critical to our businesses. At the same time, the sheer number of database-driven applications and users is also multiplying – and they increasingly need to be online, globally, 24 x 7. Which all leads to the big burning question: How can we possibly protect all this critical data, data we depend on more and more even as it grows, all the time?
We just can’t keep taking more time out of the 24-hour day for longer and larger database backups. The traditional batch window backup approach is already often beyond practical limits and its problems are only getting worse with data growth – missed backup windows, increased performance degradation, unavailability, fragility, risk and cost. It’s now time for a new data protection approach that can do away with the idea of batch window backups, yet still provide immediate backup copies to recover from failures, corruption, and other disasters.
Oracle has stepped up in a big way, and marshaling expertise and technologies from across their engineered systems portfolio, has developed a new Zero Data Loss Recovery Appliance. Note the very intentional name that is focused on total recoverability – the Recovery Appliance is definitely not just another backup target. This new appliance eliminates the pains and risks of the full database backup window approach completely through a highly engineered continuous data protection solution for Oracle databases. It is now possible to immediately recover any database to any point in time desired, as the Recovery Appliance provides “virtual” full backups on demand and can scale to protect thousands of databases and petabytes of capacity. In fact, it offloads backup processes from production database servers which can increase performance in Oracle environments typically by 25%. Adopting this new backup and recovery solution will actually give CPU cycles back to the business.
In this report, we’ll briefly review why conventional data protection approaches based on the backup window are fast becoming obsolete. Then we’ll look into how Oracle has designed the new Recovery Appliance to provide a unique approach to ensuring data protection in real-time, at scale, for thousands of databases and PBs of data. We’ll see how zero data loss, incremental forever backups, continuous validation, and other innovations have completely changed the game of database data protection. For the first time there is now a real and practical way to fully protect a global corporation’s databases—on-premise and in the cloud—even in the face of today’s tremendous big data growth.
While a few well-publicized web 2.0 companies are taking great advantage of foundational big data solution that they have themselves created (e.g. Hadoop), most traditional enterprise IT shops are still thinking about how to practically deploy their first business-impacting big data applications – or have dived in and are now struggling mightily to effectively manage a large Hadoop cluster in the middle of their production data center. This has led to the common perception that realistic big data business value may yet be just out of reach for most organizations – especially those that need to run lean and mean on both staffing and resources.
This new big data ecosystem consists of scale-out platforms, cutting-edge open source solutions, and massive storage that is inherently difficult for traditional IT shops to optimally manage in production – especially with still evolving ecosystem management capabilities. In addition, most organizations need to run large clusters supporting multiple users and applications to control both capital and operational costs. Yet there are no native ways to guarantee, control, or even gain visibility into workload-level performance within Hadoop. Even if there wasn’t a real high-end skills and deep expertise gap for most, there still isn’t any practical way that additional experts could tweak and tune mixed Hadoop workload environments to meet production performance SLA’s.
At the same time, the competitive game of mining of value from big data has moved from day-long batch ELT/ETL jobs feeding downstream BI systems, to more user interactive queries and business process “real time” applications. Live performance matters as much now in big data as it does in any other data center solution. Ensuring multi-tenant workload performance within Hadoop is why Pepperdata, a cluster performance optimization solution, is critical to the success of enterprise big data initiatives.
In this report we’ll look deeper into today’s Hadoop deployment challenges and learn how performance optimization capabilities are not only necessary for big data success in enterprise production environments, but can open up new opportunities to mine additional business value. We’ll look at Pepperdata’s unique performance solution that enables successful Hadoop adoption for the common enterprise. We’ll also examine how it inherently provides deep visibility and reporting into who is doing what/when for troubleshooting, chargeback and other management needs. Because Pepperdata’s function is essential and unique, not to mention its compelling net value, it should be a checklist item in any data center Hadoop implementation.
To read this full report please click here.