足球竞猜app软件网络世界数字基础架构监控 //m.banksfrench.com EN-US 2020年9月27日星期日01:33 -0700 2020年9月27日星期日01:33 -0700 https://idge.staticworld.net/nww/networkworld510x510.png 足球竞猜app软件 m.banksfrench.com 510 510 https://idge.staticworld.net/nww/networkworld798x288.png 足球竞猜app软件 m.banksfrench.com 796 288 BrandPost:与SDN文化休克处理 星期五,2015年9月11日07:03:00 -0700 品牌发布 品牌发布 <本文> <节课=“页面”>

有已经有很多关注集中在移动定义网络(SDN)环境中的软件的好处。当然,如同任何进化,使得换挡很少发生过夜,有几个真正的挑战。也许最大的挑战是文化。 Simply put, SDN is a completely different way of doing things including sometimes monumental changes in the roles and responsibilities for key staff.

As SDN continues to gain prominence, fewer people will be actively involved with traditional configurations – meaning there are less people sitting at a keyboard doing manual command line interface configurations of switches or routers every time you want to provision, change or resize some part of the IT infrastructure. However, the ability to effectively orchestrate applications and network behavior to align with business priorities will become the art IT folks will need to master.

To read this article in full, please click here

//m.banksfrench.com/article/2983485/dealing-with-sdn-culture-shock.html#tk.rss_digitalinfrastructuremonitoring SDN
BrandPost: SDN带来的机遇与挑战 2015年8月20日星期四07:55:00 -0700 品牌发布 品牌发布 <文章> <节类=“网页”>

如软件​​定义网络(SDN)的发展,其承诺是明确的:敏捷性。企业通信服务提供商都已经能够显著加快提供新的应用和服务,软件定义的技术的一个直接结果的时间。

从基础设施的监控角度看,这也使得性能事件相关更轻松。事实上,我最近与侯赛因Khazaal谈到从Nuage网络关于这个题目:“有了SDN,因为应用程序是网络感知,[性能问题]的相关性是自动完成的,”侯赛因说。“如果你的页面刷新时间太长,你可以立即关联,为网络的特定部分。And because it’s programmable, you can develop tools to automatically re-route around those problems.”

To read this article in full, please click here

//m.banksfrench.com/article/2973610/opportunities-and-challenges-with-sdn.html#tk.rss_digitalinfrastructuremonitoring SDN
BrandPost: MSPs如何创造新的收入流 2015年8月18日星期二13:04:00 -0700 品牌发布 品牌发布

Unlike other environments where IT represents a business expense, managed service providers (MSPs) are in a unique position to make money by delivering managed IT services. This gives them a unique set of IT challenges and opportunities – including the chance to create additional revenue by strategically utilizing performance monitoring capabilities.

Understandably, most managed service offerings include incremental levels of reporting, alerting, service monitoring and network device monitoring. It’s how specifically the MSP leverages its performance monitoring capabilities that determines whether or not it can create new revenue-generating services as part of its catalog.

To read this article in full, please click here

//m.banksfrench.com/article/2972722/how-msps-can-create-new-revenue-streams.html#tk.rss_digitalinfrastructuremonitoring 基础设施
BrandPost:你的绩效监控策略是什么? 星期一,2015年8月3日07:30 -0700 品牌发布 品牌发布

When an organization is looking to improve application and service delivery, consolidate existing performance monitoring tools and responsibilities or justify the impact of a new technology deployment, there are a few key components that serve as fundamental building blocks for an effective performance monitoring strategy.

Breaking your strategy into these components improves comprehension while articulating and reaching consensus on the performance monitoring requirements for your business, especially in an environment where cloud, Internet of Things and software-defined everything are gaining significant momentum.

This first component is collection. Any performance monitoring strategy starts with data collection. If you can’t monitor it, you can’t manage it. To prevent visibility gaps, your performance-monitoring platform should be data agnostic, with high frequency polling down to the second. Of course, granular data collection is only useful when you can maintain that data
for a sufficient timeframe, so be sure you can maintain as polled data for accurate capacity forecasts. Applications, systems and network devices produce massive volumes of machine data with cloud and virtualization only adding to the issue. If your monitoring platform can’t scale with your data collection and reporting needs, you’ll end up with significant visibility gaps over your infrastructure performance.

To read this article in full, please click here

//m.banksfrench.com/article/2955666/what-s-in-your-performance-monitoring-strategy.html#tk.rss_digitalinfrastructuremonitoring 基础设施
BrandPost:了解云计算监控演进 周三,2015年7月8日7时35分〇〇秒-0700 品牌发布 品牌发布

The adoption of cloud resources is understandably impacting an organization’s ability to monitor assets that are not only outside its four walls, but often on shared infrastructure in remote locations.

While leveraging the cloud provides organizations with unparalleled access to valuable scalability and agility, it also results in IT losing direct control and visibility. Simply measuring cloud service availability isn’t enough. Organizations need to measure consumption levels (especially KPIs used for billing), as well as the impact of cloud service access on the rest of the infrastructure. In addition, organizations need to ensure their cloud-based resources are keeping up with what businesses need to evolve.

To read this article in full, please click here

//m.banksfrench.com/article/2945516/understanding-the-cloud-monitoring-evolution.html#tk.rss_digitalinfrastructuremonitoring 基础设施
BrandPost:在日志数据中寻找价值 2015年7月6日星期一14:41:00 -0700 品牌发布 品牌发布 <文章> <节类=“网页”>

IT早已公知有在记录数据值。然而,最显著价值面,当组织能够将重点放在传统的法医日志分析的之后的事件,以积极主动的基线和警报约在日志数据中发现逆势或独特的活动。

When organizations take a proactive approach, algorithms identify patterns of log activity and create a picture of what’s “normal” behavior. When log entries vary from that baseline, the opportunity exists to drill down to the relevant logs to see what changed and why. As a result, it’s possible to correlate polled performance metrics on networks, servers, applications, storage and more with the corresponding log details on device or application actions and changes in state.

To read this article in full, please click here

//m.banksfrench.com/article/2944692/finding-value-in-log-data.html#tk.rss_digitalinfrastructuremonitoring 基础设施
BrandPost:你是​​物联网准备好了吗? 周二,二〇一五年六月三十日12点58分零零秒-0700 品牌发布 品牌发布

It’s easy to understand the potential the Internet of Things (IoT) represents. Having a growing realm of seamlessly connected assets capable of constantly enhancing operations through distributed intelligence and automation could ultimately revolutionize how businesses function. Yet, IoT introduces significant challenges as well. For instance, how does IT detect performance anomalies among tens of thousands of highly distributed sensors and connected devices?

No matter how you look at it, the numbers associated with IoT are monstrous. For instance, analysts conservatively anticipate that the number of connected devices, including non-hub devices such as sensor nodes and accessories, to more than double by 2020. In addition to the challenge posed by the volume of data these devices generate and additional load on the digital infrastructure, network and IT teams will also have to monitor the performance of the devices themselves. This will force them to consider protocols other than old favorites such as SNMP. When gathering performance metrics from IoT devices, organizations need to look for a monitoring solution that takes a data agnostic approach to collection.

To read this article in full, please click here

//m.banksfrench.com/article/2942695/are-you-iot-ready.html#tk.rss_digitalinfrastructuremonitoring 物联网