With Intel® Data Center Manager (Intel® DCM), IT and facility managers have the tools to improve manageability, increase availability, and reduce costs across key parameters, such as energy usage, monitoring, security, automation, and cloud. In an era of rapid data center evolution, Intel DCM helps you control and optimize your infrastructure, business models, and operational expenditures.

During model development we often study metrics with the name “training loss,” “validation accuracy” or “F1 score”.  Ultimately, the reason we use these metrics when building models is because they are available, computable, theoretically supported and, hopefully, correlated to the success of the model.  The actual success of the model, in production, will be measured through a number of business metrics such as “engagement,” “consistency” or “profit”.

In recognition of this dilemma, we have seen the community embrace multiple metrics of success during the deployment of models.  In this talk, we discuss incorporating more metrics into the model development process -- this can allow us to better guide our model development towards success in production (not just during training).  At first, these can be incorporated as simply as passively recording metrics which point to business criteria (such as model complexity) and then reviewing them immediately before deployment.  Eventually, we can embed these metrics in the development process to better align the resulting models with business success.  We discuss our strategies for managing (and optimizing) multiple metrics with the goal of empowering users to make better decisions in these complicated circumstances.

Strategies for exploring and optimizing multiple metrics

There is a growing need for real-time analysis and AI to get the most value out of your IT Infrastructure. Join Intel’s experts for a live webinar that addresses these challenges in today’s data center. 

In this webinar we will cover Intel’s solution to real data center challenges:

•	Requirements for a “single pane of management glass” and manageability consistency across distributed, heterogeneous edge-to-core physical infrastructure deployments
•	Emergence of geo-distributed and multi-site edge  computing deployments, with heterogenous multi-vendor infrastructure. 
•	Proliferation of multiple infrastructure management “sources of truth” and lack of infrastructure capability awareness consistency
•	End-users and service developers require on-demand application access with ultra-low latency and real-time response
•	Specification of application requirements is shifting from explicit hardware capabilities to hardware “qualities of service” and SLAs/OLAs

Addressing the Challenges of IT Infrastructure Management in the Data Centers

コロナ禍以前でも課題であったサーバ機器のリモートマネジメント、自動化、およびアセットの効率的な管理。未だ目視での作業とスプレッド・シートで管理している管理者も多い中、これまで以上に現地に赴かない管理方法が必要となっています。
１００％人の自動化には未だいくつものハードルがありますが、ファームウェアや管理プロトコルの進化により、これまでよりもより細やかなハードウェアの情報・状態が監視対象のサーバにエージェントをインストールすることなく取得できるようになってきており、活用の幅も広がっています。
本セッションでは、インテルが社内でも2万台以上のサーバ管理に利用しているツールがどのように有効であるか、利用シーンを交えて解説します。

インテルが社内DCでも利用するサーバ管理ツールで、より効率的かつ人や場所に依存しない管理を！

Please join us at 1:00 EST on April 28th for the kick-off of our 'Virtual Meetups' series. The topic will be 'Where Automation Meets SDDC'; we will explore key findings from a research paper that combines insights from eight North American thought leaders to examine in-band and out-of-band data center monitoring and management - a critical issue in a time where remote management and control of IT resources is critical to ensuring continuous availability of needed resources.

Registrants for this event will receive a complimentary copy of the report and will have an opportunity to engage in discussions with global and Canadian industry leaders who helped shape the report’s findings. 

Peer Lead Rami Radi of Intel, Rocco Alonzi, AVP Data Centre Operations and Governance for Sun Life, and Joe Belinsky, who has served as VP of Technology Services for both Moneris and AGF, will be featured in the panel discussion and Q&A.

Agenda:
1:00-1:05 Welcome and introduction
1:05-1:20 Spotlight presentation - expert perspective on SDDC/DCIM provided by Rami Radi (Intel)
1:20-1:55 Panel discussion on assessing the benefits of in-band vs. out-of-band data center monitoring/management systems research findings - Rocco Alonzi (Sun Life), Joe Belinsky (formerly of Moneris), Rami Radi
1:55-2:15 Q&A

Please note: All registrants will receive a copy of the report prior to the event.

Summer of Webinars Event #1: "Where Automation Meets SDDC"

様々なサービスがクラウド上で提供される中、いくつかの理由から、クラウドへのシフトができない、もしくはオンプレミス/コロケーションを選択して運用されているサーバーも未だかなりの数を占めています。そんな中、昨今の状況から、リモート管理はさらに重要性を増しました。本セッションでは、リモートでのハードウェア直結のサーバー管理で、OSやエージェントソフトウェアに頼らず、より確実に、また、さらに効率化を高める方法についてお話致します。

サーバー直結のリモート管理でもっと安全かつ効率化する方法とは？

英特尔?? DCM数据中心管理平台通过数据中心带外管理网络对成千上万IT设备进行统一远程监控管理，不需要安装任何系统插件，提升数据中心运维效率，优化能效水平, 提高数据中心的可用性和可靠性。

  o  健康状况监控：实时监测IT设备及组件硬件健康状况，即时告警；
  o  动态资产管理：实时获取数据中心IT设备资源，包括型号，序列号，CPU/内存/硬盘等配置信息；
  o  能耗管理：实时获取IT设备能耗及进风口温度并进行智能分析与控制；
  o  统一集中管理：多品牌多型号IT设备的统一支持与展现。

本期网络研讨会我们将与大家分享INTEL?? DCM智能化管理工具的落地实践，欢迎行业内用户和专家参会讨论。您可以选择下面两个时间段之一进行参与：

时间：2020年3月18日，星期三，上午10点

网络研讨: Intel DCM助力数据中心实现IT设备的敏捷管理

Does the shift from on-premise, private clouds to co-location and public/hybrid clouds demand more visibility and operational control than you think you can deliver?

Fortunately, data center management tools keep a vigil on power, thermal consumption, server health, and utilization, allowing better control no matter your cloud’s shape.

In this session, learn how DCM enables real-time monitoring and precise management to lower operational costs and optimize infrastructure for today even as you’re forecasting for tomorrow.

How to better manage mixed data center environments

Intel presents how to better manage mixed data center environments

Power Saving In Data Centers - NetZoom and Intel discuss the pain points of power savings and also discuss the most comprehensive DCIM solution that delivers instant ROI.
DCIM software on average can save an organization's data center almost 25% per year in power reduction costs. Power usage and costs are big pain points in data centers across the industry.  As the cost of power continually rises, and initiatives to go green do not get implemented, how are modern-day data centers’ combatting these initiatives, proactively understanding their power usage, and successfully saving power, which in turn decreases organizational operating cost?
DCIM Software with real-time monitoring can help improve capacity planning by knowing and analyzing the capacity, predicting future capacity requirements, evaluating the impact of change on the data center, and optimizing capacity consumption.
NetZoom’s DCIM solutions allow IT and facilities managers to make more informed and presumably better decisions about overall energy usage, operational optimization, and workflow optimization.
NetZoom, Inc. is excited to discuss how proper utilization of DCIM software and proactively understanding what is going on in your data center can help you draw down power to the minimum, massively reducing your power use.  In this webinar, we will discuss:
• Identifying Thermal Failures and Risks in Real-Time
• Understanding how to proactively monitor the health of your devices
• How to accurately identify power failures and threats in real-time
• Setting policies and capacities and identifying assets or racks reaching/exceeding capacity
• Identify candidates for server replacements and tech refreshes
• Finding under-utilized “ghost” servers
• Identifying impacts for proactive planning
• Rack provisioning and capacity planning to address stranded space

Join NetZoom & Intel to hear about the pain points of power savings in the Data

Usted está tomando decisiones constantemente basadas en el consumo de energía. ¿Cuánta potencia usa cada rack ... y qué equipo va a dónde? Usted está lidiando con los costos de energía y refrigeración que están aumentando ... no disminuyendo. Está gastando dinero y tiempo en fallas del servidor que simplemente no podía ver venir.
Los administradores de los centros de datos enfrentan un problema común: demasiados activos, muy poco tiempo y poca información que sea fácil de acceder y de actuar. Tienes muchas piezas diferentes ... en muchos lugares diferentes.

Con DCIM combinado con el software de Monitoreo Ambiental, tiene un repositorio centralizado desde el cual puede obtener fácilmente la información que necesita para reunir todas las piezas, actuar y ganar control.

En este seminario web con Graphical Networks e Intel DCM, aprenderá cómo puede:
• Mantenerse al tanto de la salud de los servidores y realizar los cambios necesarios antes de que ocurran las fallas.
• Encontrar los servidores zombis y patearlos a la calle.
• Reducir sus costos de energía y refrigeración hasta en un 30%.
• Acceder y organizar fácilmente la información de su centro de datos desde un lugar centralizado.

Detenga los costos de energía (y las fallas de servidor prevenibles) y diga adiós a todos los problemas y molestias relacionados. Disminuya sustancialmente los costos, haga que todo siga avanzando sin problemas, y aproveche su tiempo, dinero y trabajo duro ... y vea cómo el software se amortiza solo en el primer año.

Tome control de la energía de su Centro de Datos y la salud de sus servidores

Does the shift from on-premise, private clouds to co-location and public/hybrid clouds demand more visibility and operational control than you think you can deliver? 

Fortunately, data center management tools keep a vigil on power, thermal consumption, server health, and utilization, allowing better control no matter your cloud’s shape. 

In this session, learn how DCM enables real-time monitoring and precise management to lower operational costs and optimize infrastructure for today even as you’re forecasting for tomorrow.

Lenovo XClarityTM Energy Manager helps you reduce the cost of powering your data center. XClarity Energy Manager is an easy to use application that analyzes and controls power consumption and temperature for groups of servers. By analyzing power and temperature data, XClarity Energy Manager helps data center administrators establish policy-based control over data center energy optimization goals which can improve business continuity and energy efficiency. Join us to see how this this application improves operation processes by: 

•Monitoring energy consumption, estimating the power demand, and reallocating power to servers as needed.
•Monitoring the temperature and cooling capacity of servers and datacenter spaces.
•Sending notifications when certain events occur or when thresholds are exceeded.
•Limiting the amount of energy that an endpoint or a group consumes using policies.
•Optimizing energy efficiency by monitoring real-time inlet temperatures, identifying low-usage servers based on out-of-band power data, measuring power ranges for different server models, and evaluating how servers accommodate new workloads based on the availability of resources.
•Reducing the power consumption to a minimum level to prolong service time during an emergency power event (such as a data-center power failure).

Presenters
Jeff Klaus
General Manager, Intel Data Center Solutions
Chuck Weber
Product Manager, Lenovo Data Center Group
George Clement
Senior Application Engineer, Intel Data Center Solutions

Lenovo and Intel discuss data center efficiency tools

In this webinar, learn how to replace manual, hardware-defined application provisioning and management with a highly automated, software-defined resource model and orchestration layer that enables flexibility, simplified on-demand capital efficiency, and lower TCO. 

We will demonstrate some of the benefits of Intel® DCM managing your HPC Cluster:

• Collects real-time accurate power and thermal consumption data that gives you the insights needed to manage your HPC clusters power usage and hotspots. 
• Monitors granular sub-component failure analysis and out of band real-time utilization data (CPU, disk, and memory). It reduces MTTR, increases uptime, and predictive component-level health management. 
• Intel® DCM SDK can be integrated into HPC job scheduler to optimize power performance while scheduling jobs in the HPC environment. 
• And more.

Intel and Maguay introduce Intel DCM for HPC Clusters

In this webinar, learn how to replace manual, hardware-defined application provisioning and management with a highly automated, software-defined resource model and orchestration layer that enables flexibility, simplified on-demand capital efficiency, and lower TCO. 

We will demonstrate some of the benefits of Intel® DCM managing your HPC Cluster:
• Collects real-time accurate power and thermal consumption data that gives you the insights needed to manage your HPC clusters power usage and hotspots. 
• Monitors granular sub-component failure analysis and out of band real-time utilization data (CPU, disk, and memory). It reduces MTTR, increases uptime, and predictive component-level health management. 
• Intel® DCM SDK can be integrated into HPC job scheduler to optimize power performance while scheduling jobs in the HPC environment. 
• And more....

See Intel Data Center Manager for HPC Clusters in Action

In this webinar, learn how to replace manual, hardware-defined application provisioning and management with a highly automated, software-defined resource model and orchestration layer that enables flexibility, simplified on-demand capital efficiency, and lower TCO. 

• Does the shift from on-premise, private clouds to co-location and public/hybrid clouds demand more visibility and operational control than you think you can deliver? 
• Fortunately, data center management tools keep a vigil on power, thermal consumption, server health, and utilization, allowing better control no matter your cloud’s shape. 
• Learn how DCM enables real-time monitoring and precise management to lower operational costs and optimize infrastructure for today even as you’re forecasting for tomorrow.

In today’s data centers, memory failures are among the most critical hardware failures that occur, severely impacting system reliability, availability, and serviceability. While commonly accepted techniques such as error correcting code (ECC) and correctable errors threshold-based predictive failure analysis (PFA) can help overcome these challenges, they have cost and performance implications. 

Attend this webinar to learn how Intel Memory Failure Prediction on systems with Aptio UEFI BIOS and MegaRAC BMC firmware can significantly optimize performance and reliability of data center infrastructure while reducing total cost of ownership.

Boosting Data Center Infrastructure Uptime with Memory Failure Prediction

server memory

bmc firmware

Data Center Infrastructure

Data Center

bios

Data Center Management

DIMM

server downtime

memory failure prediction

server

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Boosting Data Center Infrastructure Uptime with Memory Failure Prediction

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