Re: Is still recommended to not share File and Block LUNs in the same POOL in Unity?

Hi guys,

I was reading, and I saw that File and Block LUNs can use the same Unity POOL, but In best practices is not clear the final recommendations. As the I/O pattern is different, I think is still a good idea to create different POOLs, but, what EMC recommends?

What are de advantages and disvantages of using separate POOLs or just one POOL?

Thanks in advance

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这家医院VxRail用得好,还吸引了全国医疗界的目光

昆明市第三人民医院(下文简称昆明三院)成立于1954年,是西南地区规模最大的传染病专科医院。历经多年发展,该院已成为一家集医疗、教学、科研、健康管理、职业病诊治为一体的三级甲等传染病专科医院,全院设有床位1000张,拥有31个临床医技科室和2个社区卫生服务中心。

IT步伐不进则退,系统改造势在必行

作为一家老牌三甲医院,昆明三院医院的信息化早在2000年就开始建设,通过多年的努力,逐步建成了以医疗为主线、以临床信息共享为主的临床管理信息系统及电子病历系统。

本次升级改造前,医院采用VMware服务器虚拟化技术,依靠HP DL785 G6服务器、HP 8400存储和HP 4400存储组成的传统架构,支撑全院的业务运转。伴随着医院规模的不断扩大,业务的快速发展,各项业务对信息化的期望值和依赖程度也越来越高,原有架构的性能瓶颈日益凸显。面对这一情况,信息与网络管理科陈雪峰主任产生了三点思考:

  1. 医院业务量不断增加,原IT架构已无法满足日益增长的业务需求,对其改造升级势在必行。
  2. 医院因条件局限,没有备份机房,仅有一台生产存储,存在单点故障隐患,并且关键业务做常规备份,每9小时做增量备份,每周一次全备,RPO过大,一旦发生故障,存在很大的数据安全风险。因此,升级改造不仅要提高性能,还应完善备份机制,同时兼顾医院未来信息化建设的发展规划。所以,如何保证本次系统升级改造同时兼顾性能与备份,又能与未来双活数据中心方案完美对接,是陈主任的第二点思考。
  3. 互联网+时代背景下,全国各大医院都积极开展了数字化医疗的尝试,对昆明市第三人民医院来说,如何充分利用信息化建设成果,建设数字化医院,不仅需要战略上部署,也要灵活的IT架构方能实现快速转变。

面对以上思考,医院的信息化建设团队进行了多次的技术选型和方案讨论,然而结果并不理想。“我们2015年就开始对数据中心升级改造进行技术交流了,对比了多个厂商的解决方案,都存在这样或那样的问题。”陈主任说。就在这时,EMC发布了超融合产品——VxRail,其灵活的架构与性能立即与医院的需求一拍即合。

“EMC的产品在我心里一直是比较受认可,VxRail的上市让人眼前一亮,它十分契合我们的实际需求,我们本身就是VMware的‘粉丝’,同时VxRail又是业界唯一一款基于VMware虚拟化架构的超融合产品,于是一项新的技术革新在昆明市第三人民医院开启了。”

4U八节点VxRail承载全院95%的业务系统

围绕性能升级、完善备份、灵活架构、面向未来的核心理念和诉求,EMC团队为昆明市第三人民医院设计了一套完备的基础架构整体解决方案:以2套(八节点)VxRail为核心,辅以RecoverPoint for VMs进行连续数据保护,保障业务连续性,未来还将考虑基于VSAN Stretch Cluster 实现超融合的双活。

目前,VxRail承载了全院95%以上的业务系统,包括HIS、LIS等核心系统。2台万兆交换机作为EMC VxRail超融合系统提供网络接入,避免单点冗余。备份措施上,核心业务系统均使用RP4VM进行秒级数据保护,降低业务的RTO和RPO;优先级较低业务使用vSphere Replication进行保护。同时利旧原有的HP服务器以及HP存储,作为容灾平台。

今年5月份系统正式上线后,信息科还特地对VxRail进行了全方位的“暴力测试”,包括性能测试、强制断网、节点强制关机、强制拔出硬盘等,而测试结果没有让人失望,系统性能相比原来提升8-10倍,无论I/O速率还是响应时间都有了质的变化,系统运行稳定,前端业务没有中断,同时容灾站点数据正常同步,未出现系统崩盘或者数据丢失等情况。

对此,陈主任最大的体会就是效果明显:“药剂科的同事告诉我,静配系统原先调取医嘱要花10多分钟,大家只有等着,什么活都干不了,新系统上线后,2分钟不到就搞定了,工作效率极大的提高了。而且原本保护手段单一,时常担心会发生故障,现在数据保护更健全,终于可以放下心了。未来,我们医院规划扩建,实现数据中心双活,我对此也充满信心。”

事实上,昆明市第三人民医院获得的收益远不止于此,医院成为云南省医疗行业首家采用VxRail构造医院数据中心,并成功运用于核心业务系统的范例,得到了业内专家的肯定,众多兄弟单位前来交流,同时也获得了其他同行的宝贵的意见和经验,相信这些收益都能帮助昆明市第三人民医院能在未来信息化建设的道路上走的更远更顺畅。

客户证言:

“EMC的产品在我心里一直是比较受认可,VxRail的上市让人眼前一亮,它十分契合我们的实际需求,我们本身就是VMware的‘粉丝’,同时VxRail又是业界唯一一款基于VMware虚拟化架构的超融合产品,于是一项新的技术革新在昆明市第三人民医院开启了。”

客户名称:昆明市第三人民医院

项目名称:超融合解决方案助推昆明三院信息化步入快车道

项目时间20175月上线

应用环境HISEMRLIS等核心业务

业务挑战:核心业务性能瓶颈、RTORPO需求无法满足、未来需要建双活

解决方案

VxRail超融合RecoverPoint for VMs连续数据保护。

客户收益

关键业务高性能

核心数据不丢失

奠定未来数字化道路的基础

性能提升8倍,医院运转效率提高



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VMware预计安全行业将出现合并浪潮,并据此安排市场发展计划

原文出处: ZDNet http://security.zhiding.cn/security_zone/2017/0906/3097812.shtml

VMware公司预计安全行业将出现合并浪潮,并据此安排市场发展计划

VMware公司CEO Pat Gelsinger

VMware公司进军企业安全市场,并宣称这一业务市场未来将迎来合并浪潮。

该公司自上而下的分析均表现了其勃勃野心:首席执行官Pat Gelsinger在开幕式主题演讲中展示了一张幻灯片,其中所含均为各安全供应商最引以为傲的客户企业商标。VMware方面则无情地为该幻灯片添加了一项缩放特效,将数百家安全供应商的商标转变为难以辨认的尺寸——此举旨在表明大多数安全供应商提供的单点解决方案存在巨大重叠,迫使相应组织不得不同时管理多种有价值但却彼此孤立的产品。而且实际上,这些产品集结在一起反而会损害安全保障能力,最终导致客户难以掌控全局。

我们已经成功将VMware从“采购”立场导向了“战略”立场。

对于实现此次转换的关键,VMware公司的答案是“AppDefense”。其中新增的虚拟机白名单产品在虚拟机中能够通过比对其活动与已被允许的行为清单,确保虚拟机执行“良好”操作,而不再是仅仅使用一系列安全产品“检测不良行为”。另外,若AppDefense检测到虚拟机偏离了其预期行为,即可采用一系列手动及/或自动化对策以遏制处于萌芽中的攻击。

Gelsinger认为VMware将凭借此举旨在达成其发展目的。 “如果您对企业IT的风险投资有所关注,您就会发现‘安全’是迄今为止最热门的领域,” 该首席执行官在接受本报记者采访时表示,“对于一家热门的初创企业而言,其目标是开发一款出色的产品; 但VMware则不需要更多产品。产品数量过多会让安全问题在某些层面上变得更糟糕,而不是更好。”

“我将此现象称为‘加单衣现象’,” Gelsinger对此解释道,“面对众多竞争对手的追赶,你选择推出新产品。但是现在,大多数企业客户已经拥有约75种产品。他们在这样的环境下运营,但安全性却仍然得不到保障。”

VMware公司预计安全行业将出现合并浪潮,并据此安排市场发展计划

尺寸问题:在VMware 2017大会的主题演讲中,VMware将安全行业商标缩小至蚂蚁般大小

Gelsinger将这部分责任归咎于行业当中的各从业厂商,对此他表示“作为提供安全基础设施的行业,这是我们整个集体的问题。面对客户,我们的表现并不合格的。而我们必须在底层基础架构中建立更多的核心安全功能。”

而AppDefense恰好能够为虚拟机管理程序实现以上所提及的各项核心安全功能。Gelsinger同时指出,通过对VSAN进行加密,VMware正在逐步确保能够让存储更安全。

该公司的下一款产品看起来将可能是存储监视工具,就如同当初vSphere刚刚推出时,VMware公司即开始向其阵列供应商制定相关规定,以便其产品能够可以与自家虚拟机管理程序与管理工具相配合。

Gelisinger表示该公司的工具“需要与运营环境进行更加深入的集成”,这意味着其发展计划与其它安全厂商类似。因此,VMware计划与大量安全人员开展合作,旨在提供描述VMware产品与安全厂商代码相结合的相关安全基础设施的“认证型解决方案”。

“未来能够在市场上继续生存的供应商可能会达到100家,” Gelisinger表示,“但绝不会像现在这样达到2000家。”

Gelisinger认为利基供应商不会消失。“总有特殊情况存在,”他表示,“在PCI、联邦与医疗领域都存在着定位特殊的供应商,所以我认为应该不至于出现由2000家供应商缩减至仅剩100家的情况。事实上,我更倾向于认为企业安全业务产品的核心将大幅削减,这代表着客户可以凭借数量更少的整体性投资获得更多的安全保障。”

虚拟巨头的转型之路

VMware公司在该安全方面作出的声明以及Gelsinger与AWS首席执行官Andy Jassy的发言在态度上可谓颇为傲慢。在新闻媒体问答会上,他们表示其选择在VMware-on-AWS首次亮相的前几个月宣布这一消息并不是为了激励投资者,而是希望给客户时间考虑这些信息对其未来数据中心的建设计划将产生何种意义。

只有曾经拥有过这样一套平台,才有可能真正理解其中隐藏的真相并作出上述声明; 而且在过去的几年,VMware一直无法完全确定该平台的未来。2016年1月,该公司宣布vSphere销售量下滑,并且预计将会持续处于下滑趋势。之所以作出这种预测,无疑是考虑到公有云的快速普及、容器迅速兴起以及虚拟机管理程序黄金时代已经过去等负面性背景因素。

然而,经过几个季度之后,vSphere销售量再度上涨。两周之前,VMware公司修订了vSphere的前景预期,并认定在可预见的未来其销售量将始终保持平稳。

Gelsinger表示,由于“对客户而言,我们已经成功将VMware从‘采购’立场导向了‘战略’立场”,所以vSphere的销售情况开始好转。同时,他表示,属于后一类范畴的客户将努力降低成本。“然而,如果你身处战略立场,问题就将变成‘我们如何携手实现协同效应?’”

Gelsinger同时补充称,VMware在云供应商客户群体中的销售情况好于预期,这也是其平台受到重视的又一体现。

AppDefense的出现证明该公司仍然有能力寻求新方式以实现该平台的实践价值。另外,Gelsinger认为尽管NSX网络虚拟化产品才刚刚起步,且目前仅拥有2600家用户,但却已然成为一项每年收益可达十亿美元的业务。再者,Gelsinger表示,NSX网络虚拟化产品将推动VMware未来二十年的持续发展——正如服务器虚拟化曾支撑起该公司的第一个辉煌十年。该公司同时指出VSAN拥有1万家客户,vSphere则拥有50万——从某种角度来看,这些用户都将需要新型存储方案帮助自身满足业务需求。

当然,这并不是说VMware已经完全独立于行业以外。其最终用户计算业务具有完整的方案组合且占据了成熟的市场,但增长速度却较为缓慢。尽管当前不少创新厂商都试图对云环境加以“驯服”,但VMware公司仍凭借着惯性令vSphere继续成为企业的首选管理工具,并希望混合云能够成为这项目标的助力。

但总体而言,虚拟巨头似乎已经开始了自己的转型之路。而相较于其之前面对变化的挣扎,如今的表现显然更有步入正轨的迹象。

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首席数据官成为企业转型中的重要角色之一

原文出处: ZDNet http://cio.zhiding.cn/cio/2017/0906/3097808.shtml

根据Constellation Research的“150位有影响力的高管”的调查报告,首席数据官(CDO)正在越来越多地推动业务转型项目,但是首席信息官(CIO)和首席技术官(CTO)却扮演领导者角色。

Constellation Research汇编的这个覆盖各行各业的150名高管人员名单,目的是寻找能够帮助企业引导各种颠覆性技术和变革的高管。

首先关注到的就是首席数据官CDO的普及。CDO在几年前出现,但是关于这个职位是否会一直存在下去存在很多争议。

让我们来看看Constellation Research这个名单对职责的划分:

首席数据官成为企业转型中的重要角色之一

CDO排名第二,CMO是7.48%,首席创新官也是一个新兴的职位。

从行业来看,制造业在这个名单中占比24%,这个事实并不令人惊讶,因为制造业是从物联网、大数据和技术项目中受益最大的行业。零售和金融服务在该名单中占比20%。

首席数据官成为企业转型中的重要角色之一

此外,这个名单中有76%的高管是男性,有86%是在北美。

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How to send customer email notifications (alerts) without customer email server?

Hi,

Customer has externalized the Email Services, so they don’t have an email server in their company. They still would like to receive alerts emails from VNX, but now they don’t have his own SMTP Server to do that. I’ve read in the ESRS release notes:

Note: The email server is on the customer’s network. ESRS should not be used for SMTP traffic destined for the customer, that is, mail will not be forwarded.

We are going to install ESRS VE. is there any ESRS VE functionality that can send mails to customer? Has anybody tried any free SMTP application to do that?

Thanks in advance

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Re: ECSCLI in ECS node

Hello Guys,

We are working on installing the ECSCLI to the management server in the mean time trying to use the ECSCLI installed in the node. However , i am unable to find the location where it’s been installed and also i am unable to use the CLI commands of it.

:~> which ecscli.py

which: no ecscli.py in (/home/admin/bin:/usr/local/bin:/usr/bin:/bin:/usr/games:/opt/emc/bin:/opt/emc/nile/bin:/opt/emc/caspian/fabric/cli/bin:/opt/emc/bin:/opt/emc/nile/bin)

Wanted to know , whether the ECSCLI installed or not ? if yes, would like to know the right method of using it .

Thanks

Saran

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Is a Big Data Conference Like Going to the Dentist?

EMC logo


I recently visited my dentist and found the experience, well, less than satisfactory. I was subjected to 45 minutes of lecturing while strapped into the dentist chair:

“You don’t brush enough times a day. You don’t brush long enough. You don’t brush correctly. You aren’t using the right type of toothbrush. You aren’t replacing the brush head soon enough. You aren’t flossing enough. You aren’t flossing correctly. You aren’t using the right type of floss.”

Good lord! It’s any wonder that my teeth aren’t just falling out of my head!!

No one likes being lectured. It’s not constructive and after a while, you just turn it off.  That’s probably similar to the feeling of going to these Big Data conferences – constantly being told what you aren’t doing right. And maybe I’m guilty of doing that as well. If I am, then I’m sorry because from an audience perspective, it sucks.

So the purpose of this blog is to highlight what organizations are doing right (and I’ll save my criticism until my next conference presentation). Here’s what I’m seeing organizations get right with respect to Big Data and Data Science:

  • Organizations, and especially management teams, are getting comfortable with scale out, natively parallel, open source-based technologies. Organizations are moving away from rigid monolithic applications (e.g., ERP, CRM, SCM, HRM) to an operating model comprised of special-purpose applications. It’s like being a carpenter who only had a hammer and screwdriver their whole lives. Suddenly they have saws and tape measures and wrenches and planes and more. And if they find that they need another tool, they can even build it themselves. Unfortunately, this bounty of options has made the CIO’s life much harder. A CIO can no longer just buy a monolithic application from a single vendor and then get comfortable being held captive to that vendor’s ever-increasing maintenance pricing and ever-lengthening release cycles. CIO’s must trade the perceived security of the “one throat to choke” lie for the agility and scalability of assembling their own application environment. It may be a lot more work for the CIO, but the technology agility and business value that will be released is truly game changing (see Figure 1).
Figure 1:  Data Lake Reference Architecture

Figure 1:  Data Lake Reference Architecture

  • Organizations, especially Chief Financial Officers, are getting comfortable with open source business models. I suppose that we can thank Linux and Red Hat for introducing the open source business model to the corporate world, but many developers embraced the open source phenomena many years prior when using the Free Software Foundation’s GNU development tools (e.g., gcc, g++, gdb, cvs).  Now large commercial organizations such as Google, Facebook, Pivotal, Dell, and IBM as well as many universities are adding new functionality to existing open source projects, and creating new open source initiatives (under the Apache Software Foundation banner) whenever they can’t find an open source tool that sufficiently meets their needs. The pace of innovation is something that NO monolithic application will EVER be able to match! And that’s a fact, Jack!
  • Many organizations are hiring a Chief Data Officer (CDO), which is a great start. Unfortunately, many of these organizations are hiring the wrong person and putting them in the wrong role (sorry, but a small lecture coming). Many organizations are hiring CDO’s that look and perform like a CIO. Hey, we’ve already got a CIO.  Instead, what we really need is a “Chief Data Monetization Officer” whose role is to drive and derive business value out of the organization’s growing bounty of data. In fact, in some leading organizations, the CIO actually reports to the CDO. Now that’s really embracing the power of data! See the blog “Chief Data Officer: The True Dean of Big Data?” for more details on the upgraded CDO role.
  • Understanding the difference and complementary natures of Business Intelligence (BI) and Data Science. Business Intelligence cannot be “extended” to include data science, and data science does not replace Business Intelligence. They are separate disciplines and must be treated as distinct and different entities. BI provides operational, management and compliance reporting on what has happened, which is the foundation for any data-centric organization. Data Science leverages the growing wealth of internal and external data to try to predict what is likely to happen, and prescribe what actions to take (see Figure 2).
Figure 2:  Differences Between Business Intelligence and Data Science

Figure 2:  Differences Between Business Intelligence and Data Science

 

See the blog “Dynamic Duo of Analytic Power: Business Intelligence Analyst PLUS Data Scientist” for more on the differences between Business Intelligence and Data Science.

  • BI Analysts and data scientists alike are embracing the power of a schema-less data management environment. It’s really hard for us data warehouse people (who were taught to think schema first) to transition to a world where we just load the data into Hadoop regardless of how the data is structured. Semi-structured, unstructured, video, text, photos, images, audio, log files…you just don’t care. Understanding and embracing the power of “schema on query” versus “schema on load” truly is game changing, especially if you want to do some serious data science predictive and prescriptive analytics. See the blog “Hadoop Data Modeling Lessons – by Vin Diesel” for more about the ramifications of data modeling within a big data environment.
  • If everyone has access to the same open source software, then where is the point of differentiation? Well, the differentiation is NOT in having the open source software, but is instead in how the open source software is being used to drive and derive business value. Organizations are realizing that this conversation must start with the business. The “Democratization of Big Data” means that just having deeper pockets is no longer enough; that even small organizations with a tight business focus can have impressive success (see the blog “Heart of the Data Science Revolution… Mankato, MN?”).
  • Finally, I’m seeing more and more organizations discussing how to “monetize their data.” However, we need to shift the monetization conversation away from the “value in exchange” discussion to the “value in use” application. Understanding the true economic value of data is a game changer, and will change how organizations optimize their technology and business investments (see Figure 3).
Figure 3:  Creating a Collaborative Value Creation Platform

Figure 3:  Creating a Collaborative Value Creation Platform

 

Check out my recent University of San Francisco research paper on the “Economic Value of Data”.

Ultimately, your big data success is dependent upon your ability to answer these 5 key questions:

  1. How effective is your organization at leveraging data and analytics to power your business models?
  2. Do you understand your organization’s key business initiatives and how they would benefit from big data?
  3. Do you have business stakeholder active participation in setting your use case roadmap?
  4. Do you understand the economic value of your data and how that affects your technology and business investments?
  5. Do you understand how to create a platform that exploits the economic value of your data?

Now I hope we’re really talking, and not just lecturing at each other!

5qs

The post Is a Big Data Conference Like Going to the Dentist? appeared first on InFocus Blog | Dell EMC Services.


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MirrorView Configuration

Hello Harry,

You may need to extract the SPCollect Output, then extract the compressed file that ends with _rtp (i.e. CKM00XXX_SPA_XXX_rtp).

You will find the MirrorView configuration in a file named as “SPA_mirror_info.txt”

For SPCollect output visual view, you need to download and install Unisphere Service Manager in your PC

– Open the USM.

– In the right side panel, under reports; click n View System Configuration.

– Browse and add the SPCollect output -> click next -> follow the wizard then you can see the SPCollect output as vitual GUI reports.

Best Regards,

Mohammad Makadmeh

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