As big data meets the application performance management (concept article ②)

Yun Zhihui (Beijing) Technology Co., Ltd. LU Xinghai
3. His encounter with her (Big data and application performance management)
650) this.width=650; "src=" http://img.blog.csdn.net/20150715114218408 "alt=" here write a picture describing "title=" "style=" border:none; "/ >

It can be said that it is because of years of wiping over, in the romantic 2014, Big Data and application performance management really met. This encounter is not accidental: on the one hand, it originates from the big data characteristics of the application performance management data, on the other hand, because of the high level user demand brought by the development of big data technology.
650) this.width=650; "src=" http://img.blog.csdn.net/20150715114450736 "alt=" here write a picture describing "title=" "style=" border:none; "/ >

According to Yun Zhihui (cloudwise), the data in its application performance management is combed and analyzed, APM needs very high real-time data processing, when the performance indicators in the system are abnormal, the user should be alerted immediately (within 5S), the current product data acquisition amount is 72 billion, This data is expected to reach 10 trillion in 2016, and it data covers 2000 different types of performance parameter metrics such as user-to-server response times, JS errors, network availability, service throughput, slow queries, system processes, and disk space utilization. And the data itself contains a lot of value, just as gold is worth our development. How to explain the meaning of the system data to the managers, technicians and operators of the enterprise, let the company make effective decision based on the data, use the visualized data to create a better service experience for the user-this is the important problem that application performance management needs to solve.
So what can big data technology do to help with application performance management? How does application performance management leverage Big data ideas to help businesses solve real-world business and user experience issues? This is preceded by a preview, and more will be discussed in more detail in the "Value story".
1, through the data visualization analysis of IT performance indicators, to achieve optimal application performance management: Continuously improve the performance and usability of the application system, so as to continuously improve customer satisfaction and ensure business revenue;
2. Collect and excavate user experience and performance data distributed nationwide and globally, analyze and optimize the end user experience: Help enterprises to constantly discover and improve the real end user experience problem;
3, the use of big data forecasting and distributed pressure measurement technology, accelerate the system development and delivery process: in the crowded market demand and competitive pressure to shorten the iteration time, improve code development efficiency and quality, to achieve rapid construction and continuous delivery;
4, the establishment of business-oriented and ROI analysis model, to avoid and reduce the overall investment risk: to help enterprises to avoid and reduce the existing IT infrastructure to introduce cloud computing, virtualization and other new technologies brought about by the technical and financial risks;
5, data deep mining, refinement to the component level of performance analysis: In a complex system environment to track the application of various levels of problems (even in-depth code-level performance bottlenecks), help IT, development and other departments to improve efficiency, focus on the core work;
"To Be Continued" (Second article "value", third "technical article")

As big data meets the application performance management (concept article ②)