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Items Tagged: Management

news / Blog

Application Delivery and Virtual Convergence

We're rethinking infrastructure management - it's natural to rethink the application development, deployment, and lifecycle management process as well.

  • Premiered: 08/04/09
  • Author: Taneja Group
Topic(s): Application Cloud Computing Management virtual infrastructures
news / Blog

Virtualization Management Communities 2.0

Over the past month, I’ve been excited to see the second generation of virtualization communities coming to life.

  • Premiered: 05/30/09
  • Author: Taneja Group
Topic(s): Communities Management TripWire Virtualization vKernel Vizioncore VMWare
Profiles/Reports

EMC Replication Manager

Without any fanfare, data replicas have quietly become the lifeblood of enterprise storage infrastructures. While it is easy enough to create a replica, it is a much harder task to manage and integrate replicas within complex IT operations. In turn, enterprises encounter management overhead that spirals out of control and reduces the power and usefulness of replicas. But with the right replication management products, it is possible to transform replicas into a powerful, automated, smooth running, policy-driven tool that enhances enterprise storage services, increases protection, and delivers tremendous versatility by improving data re-use.

Publish date: 08/15/07
news / Blog

Who Will Automate the Cloud?

About five years ago, policy-based orchestration and datacenter automation—two of my favorite topics—were enjoying a renaissance due to rapidly growing virtualized environments. Quickly, most of the interesting start-up technology was acquired either by the big datacenter management gorillas or by the hypervisor makers.

  • Premiered: 10/18/10
  • Author: Taneja Group
Topic(s): Abiquo Automation Cloud Cloud Management Management Nimbula
news / Blog

Virtualization Energizes the Data Center Automation Segment

When it comes time to automate IT processes, we recommend taking stock of your existing trusted vendor relationships as well as your most glaring pain points: do you struggle to keep operating systems and servers patched to the right levels to meet compliance?

  • Premiered: 08/26/09
  • Author: Taneja Group
Topic(s): Automation Bartoletti Datacenter Management Server Virtualization Virtual Infrastructure
news / Blog

Akorri Acquisition Proves that Visibility is Valuable

The NetApp acquisition of Akorri should make the other large storage players take notice. Virtual infrastructure optimization tools are increasingly valuable, and independent vendors of them are in short supply.

news / Blog

HP the innovation company has resurfaced, and they have a message for you: hardware still matters.

I recently had the chance at VMware PEX to spend some extended in-depth time with HP in a bootcamp session intended for their field and channel. I've blogged a bit already on a couple of observations stemming from this, but there is at least one other observation to be had.

  • Premiered: 03/01/13
  • Author: Taneja Group
Topic(s): Cloud Virtualization HP VMWare convergence hyperconvergence Networking Storage Compute Management
news / Blog

A Shift To Enterprise Features For Big Data Solutions: Notes from Strata/Hadoop World NY 2014

I had a blast last week at Strata/Hadoop World NY 2014. I got a real sense that the mass of big data sponsors/vendors are finally focusing on what it takes to get big data solutions into production operations. In fact, in one of the early keynotes it was noted that the majority of the attendees were implementing software engineers and not necessarily analytical data scientists. Certainly there was no shortage of high profile use cases bandied about and impressive sessions on advanced data science, but on the show floor much of the talk was about making big data work in real world data centers... I’ll certainly be diving into many of these topics more deeply, but here is a not-so-brief roundup of major themes culled from the 20+ sponsors I met with at the show:...

  • Premiered: 10/22/14
  • Author: Mike Matchett
Topic(s): Big Data strata Hadoop Virtualization Management Storage
Profiles/Reports

Enterprise Flash - Scalable, Smart, and Economical

There is a serious re-hosting effort going on in data center storage as flash-filled systems replace large arrays of older spinning disks for tier 1 apps. Naturally as costs drop and the performance advantages of flash-accelerated IO services become irresistible, they also begin pulling in a widening circle of applications with varying QoS needs. Yet this extension leads to a wasteful tug-of-war between high-end flash only systems that can’t effectively serve a wide variety of application workloads and so-called hybrid solutions originally architected for HDDs that are often challenged to provide the highest performance required by those tier 1 applications.

Someday in its purest form all-flash storage theoretically could drop in price enough to outright replace all other storage tiers even at the largest capacities, although that is certainly not true today. Here at Taneja Group we think storage tiering will always offer a better way to deliver varying levels of QoS by balancing the latest in performance advances appropriately with the most efficient capacities. In any case, the best enterprise storage solutions today need to offer a range of storage tiers, often even when catering to a single application’s varying storage needs.

There are many entrants in the flash storage market, with the big vendors now rolling out enterprise solutions upgraded for flash. Unfortunately many of these systems are shallow retreads of older architectures, perhaps souped-up a bit to better handle some hybrid flash acceleration but not able to take full advantage of it. Or they are new dedicated flash-only point products with big price tags, immature or minimal data services, and limited ability to scale out or serve a wider set of data center QoS needs.

Oracle saw an opportunity for a new type of cost-effective flash-speed storage system that could meet the varied QoS needs of multiple enterprise data center applications – in other words, to take flash storage into the mainstream of the data center. Oracle decided they had enough storage chops (from Exadata, ZFS, Pillar, Sun, etc.) to design and build a “flash-first” enterprise system intended to take full advantage of flash as a performance tier, but also incorporate other storage tiers naturally including slower “capacity” flash, performance HDD, and capacity HDD. Tiering by itself isn’t a new thing – all the hybrid solutions do it and there are other vendor solutions that were designed for tiering – but Oracle built the FS1 Flash Storage System from the fast “flash” tier down, not by adding flash to a slower or existing HDD-based architecture working “upwards.” This required designing intelligent automated management to take advantage of flash for performance while leveraging HDD to balance out cost. This new architecture has internal communication links dedicated to flash media with separate IO paths for HDDs, unlike traditional hybrids that might rely solely on their older, standard HDD-era architectures that can internally constrain high-performance flash access.

Oracle FS1 is a highly engineered SAN storage system with key capabilities that set it apart from other all-flash storage systems, including built in QoS management that incorporates business priorities, best-practices provisioning, and a storage alignment capability that is application aware – for Oracle Database naturally, but that can also address a growing body of other key enterprise applications (such as Oracle JD Edwards, PeopleSoft, Siebel, MS Exchange/SQL Server, and SAP) – and a “service provider” capability to carve out multi-tenant virtual storage “domains” while online that are actually enforced at the hardware partitioning level for top data security isolation.

In this report, we’ll dive in and examine some of the great new capabilities of the Oracle FS1. We’ll look at what really sets it apart from the competition in terms of its QoS, auto-tiering, co-engineering with Oracle Database and applications, delivered performance, capacity scaling and optimization, enterprise availability, and OPEX reducing features, all at a competitive price point that will challenge the rest of the increasingly flash-centric market.

Publish date: 02/02/15
Profiles/Reports

Nutanix XCP For Demanding Enterprise Workloads: Making Infrastructure Invisible for Tier-1 Ent. Apps

Virtualization has matured and become widely adopted in the enterprise market. Approximately three in every five physical servers are deployed in a virtualized environment. After two waves of virtualization, it is safe to assume that a high percentage of business applications are running in virtualized environments. The applications last to deploy into the virtualized environment were considered the tier-1 apps. Examples of these include CRM and ERP environments running SAP NetWeaver, Oracle database and applications, and Microsoft SQL Server. In many 24X7 service industries, Microsoft Exchange and SharePoint are also considered tier-1 applications.

The initial approach to building virtualized environments that can handle these tier-1 applications was to build highly tuned infrastructure using best of breed three-tier architectures where compute, storage and networking were selected and customized for each type of workload. Newer shared storage systems have increasingly adopted virtualized all flash and hybrid architectures, which has allowed organizations to mix a few tier-1 workloads within the same traditional infrastructure and still meet stringent SLA requirements.

Enter now the new product category of enterprise-capable HyperConverged Infrastructure (HCI). With HCI, the traditional three-tier architecture has been collapsed into a single software-based system that is purpose-built for virtualization. In these solutions, the hypervisor, compute, storage, and advanced data services are integrated into an x86 industry-standard building block. These modern scale-out hyperconverged systems combine a flash-first software-defined storage architecture with VM-centric ease-of-use that far exceeds any three-tier approach on the market today. These attributes have made HCI very popular and one of the fastest growing product segments in the market today.

HCI products have been very popular with medium sized companies and specific workloads such as VDI or test and development. After a few years of hardening and maturity, are these products ready to tackle enterprise tier-1 applications?  In this paper we will take a closer look at Nutanix Xtreme Computing Platform (XCP) and explore how its capabilities stack up to tier-1 application workload requirements.

Nutanix was a pioneer in HCI and is widely considered the market and visionary leader of this rapidly growing segment. Nutanix has recently announced the next step - a vision of the product beyond HCI. With this concept they plan to make the entire virtualized infrastructure invisible to IT consumers. This will encompass all three of the popular hypervisors: VMware, Hyper-V and their own Acropolis Hypervisor. Nutanix has enabled app mobility between different hypervisors, a unique concept across the converged system and HCI alike. This Solution Profile will focus on the Nutanix XCP platform and key capabilities that make it suitable for teir-1 enterprise applications. With the most recent release, we have found compelling features appropriate for most tier-1 application workloads. Combined with the value proposition of web-scale modular architecture this provides an easy pathway to data-center transformation that businesses of all sizes should take advantage of. 

Publish date: 11/30/15
news / Blog

IBM Cognitive Storage Support Promises to Reduce Customers’ Technical Issues and Support Costs

Real-time insights from installed storage systems--combined with IBM storage support capabilities--should lead to more reliable and performant storage as well as happier customers

  • Premiered: 11/13/17
  • Author: Jeff Byrne
Topic(s): IBM Storage Cloud Management AI Cognitive Computing Big Data