建站至此，已有数月，简单的维护，并未投入过多精力，基本上没有人来关注小站。很冷清，跟以前的博客相比截然相反。
忽然感觉我在网络中的轨迹如现实一样，网络上的这个家，和现实中的家（房子），基本都是在近期建立，同样面临了各种困难，同样是摸着石头过河。
好在都解决了。
嗯，一个在新加坡，一个在房山，都很远，但至少有了。
人生不如意十之八九，困难远未结束，一切都在前行。
困难，发现很多事情都不愿去讲了，深深的包含在这两个简简单单的字里。
就这样吧，继续祝福自己，会越来越好的。
作者： Centro Sun
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在SolarWinds中添加OID监控
SolarWinds自带有mib库，但并不保证收录了市面上所有设备的mib库，如果需要整合mib库，则需要向厂商开case来实现。这种方式可能需要等几天，整合完毕后会放置在Customer Portal的链接中，然后下载并替换即可。
除了这种方式以外，SolarWinds还提供另外一种方式，就是添加OID的方式，这种方式更快捷，所以还是建议大家使用这种方式来操作，可以更方便的选择自己需要监控的对象。
1，首先第一步，打开UnDP工具，路径：开始菜单-SolarWinds Orion-Network Performance Monitor-Universal Device Poller。如果是Windows 2012 Server的系统，在开始屏幕右上角搜索此名称：Universal Device Poller。
2，单击左上角”New Universal Device Poller”按钮。
3，输入OID；Advanced options保持默认；Group部分创建OID所述的厂商，例如H3C，用来分类，以便管理方便。
4，选择OID所对应的厂商的设备，并单击左下角Test按钮，结果将反馈在右侧空白处，成功后继续下一步。
5，保持默认。
6，选择显示位置（Orion View Name）及显示方式（Chart、Gauge、Table），显示方式的选择，如果是多值，请选择Table，如果是单值，选择Gauge，可多选。选择完成后即完成了OID的添加过程。
7，查看添加效果：
在设备的Details页面左侧最下方。
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不再遥远
最近恐怕是人生当中最为忙碌紧张的一段时间了。
在西安北高铁站，当我带上X1050的耳机，打开NOISE CANCELING，所有的一切瞬间安静了。
随着音乐的流淌，看着人来人往，整个身心这才短暂的放松下来。
夫人最近为年会忙得焦头烂额，而我不着家的出差，少了关心，只能先埋在心里，等日后再做补偿。
好在我们的目标一致，一路上可以相互鼓励，没有什么能够阻挡我们的前进。
心怀感恩，向那些伸出援手的人们表示感谢。
数了数在这个城市的时间，算下来居然有15年了，整个青春都在这里，尽管动摇过，但最终内心的声音一直告诉我不能离去。
坚持下来，不是为了证明自己有多强，只是过往数之不尽的半途而废，让我更加珍惜这来之不易的坚持。
在此立文，希望再有下一个15年可以在这个城市回顾往事，而那时，将有我所想要的一切。
还是那句话，一切都会好起来的。
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Enable defragmentation for SolarWinds Database
On the Solarwinds server:
Open Database Manager
Start > All Programs > Solarwinds Orion > Advanced Features > Database
Manager
Add default server
Expand your database and right-click on any table.
Execute Query.
Click on the “Enable table editing” button (Results can be edited)
Clear the existing query and enter the following:UPDATE Settings SET CurrentValue = 1 WHERE SettingID LIKE ‘dbm-defragmentation-enabled%’
and click on Execute Query.
Run Database maintenance
Start > All Programs > SolarWinds Orion > Advanced Features > Database Maintenance, and then click Start. -
Why Embedded Analytics Will Change Everything
Analytics is being embedded in all kinds of software which suggests a major shift is on the horizon. How we think about analytics will change and so will our use of analytics. We explain why.
Analytics are being embedded in all kinds of software. As a result, the ecosystem is changing, and with it so is our relationship to analytics. Historically, analytics and BI have been treated as something separate — we “do”analytics, we’re “doing” ad hoc reporting — but increasingly, analytics are becoming an integral part of software experiences, from online shopping to smart watches and to enterprise applications.
“We’re creating whole industries that are centered around data and analytics that are going to challenge the status quo of every industry,” said Goutham Belliappa, Big Data and Analytics practice leader, for Capgemini North America. “Analytics will become so ubiquitous, we won’t even notice it. From a business perspective, it’s going to transform entire industries.”
Credit: Pixabay
Three drivers are collectively changing how we experience and think about analytics. The first, as previously mentioned, is embedding analytics into all kinds of software. The second is automation, and the third is a shift in the way software is built.
Automation is Fuel
Modern software generates and analyzes more data than ever, and the trend is going to accelerate. The resulting glut of data is outpacing humans’ ability to manage and analyze it, so some analytics necessarily have to be automated, as do some decisions. As a result, analytics has become invisible in some contexts, and it’s going to become invisible in still more contexts soon.
“Frictionless” is a good way to describe what people are striving for in effective user experiences. Certainly, with more automation and more behind-the-scenes analytics, how we think of analytics will change,” said Gene Leganza, VP & research director at Forrester Research. “We’ll be thinking about the results — do we like the recommendations of this site’s or this app’s recommendation engine or is that one better? We’ll gravitate towards the services that just work better for us without knowing how they do it.”
That’s not to say that automated analytics should be implemented as black boxes. While humans will apply less conscious thought to analytics because they are embedded, they will still want to understand how decisions were made, especially as those decisions increase in importance, Leganza said. Successful software will not just automate data management and analytics and chose the right combination of microservices to achieve a particular result, it will also be able to explain its path on demand.
Microservices Will Have an Impact
Software development practices are evolving and so is the software that’s being built. In the last decade, monolithic enterprise applications have been broken down into smaller pieces that are now offered as SaaS solutions. Functionality is continuing to become more modular with microservices, which are specific pieces of functionality designed to achieve a particular goal. Because microservices are essentially building blocks, they can be combined in different ways which impacts analytics and vice versa.
To learn how embedded analytics are enabling smart cities, read 6 IoT Innovations Making Cities Smarter.
Tableau has embraced microservices so its customers can combine B2B tools in a seamless way. For example, Tableau is now embedded in Salesforce.com, so a sales rep can get insights about a customer as well as the customer details that were already stored in Salesforce.com.
“The more embedded you get, APIs and developer extensions become more relevant because you need more programmability to make [analytics] more invisible, to be seamless, to be part of a core application even though it comes from somewhere else,” said Francois Ajenstat, chief product officer at Tableau.
Software continues to become more modular because modularity provides flexibility. As the pace of business accelerates, software has to be able adapt to changing circumstances quickly and without unnecessary overhead.
“In order to automate more and more actions and to enable adapting to a myriad of conditions, we’ll be having software dynamically cobble together microservices as needed. The granularity of the services will have to be synched to the patterns in the data. For the near future, the task will be to make the software flexible enough to adapt to the major patterns we’re seeing,” said Forrester’s Leganza.
What’s Your Take?
How are your opinions of and experience with analytics changing as analytics become embedded into more types of software? Are your experiences becoming “frictionless” yet or is there room for improvement? How are automated analytics impacting you? We’d love to hear about your experiences and your opinions in the comments section.