Moca: Listen cloud has the domestic absolute leading technical ability

Source: Internet
Author: User
Keywords Cloud computing APM listening cloud cloud pioneer
Tags .mall access analysis api app application based business

Nowadays, the APM field is very hot, the domestic enterprises engaged in APM is also more and more, the main technology provider in the field of foreign APM is new Relic, AppDynamics, but because of the localization problem and the user experience is poor, the difficulty of getting started also restricts these foreign manufacturers from landing in China. This year, many domestic APM manufacturers have started exerting force, which listens to cloud platform because of its absolute leading technical ability, minimalist user experience attracts many heavyweight manufacturer's favor, service customers including Google, IBM, bat and so on more than 500 large enterprises, It is also the world's leading technology information company Gartner in the field of APM, the only research focus of the company.

Low-key, is the interview listening cloud product owner to the author's deepest impression, founded in 2007, the keynote network has been in the performance of large data and mining has accumulated more than 8 years of experience, and has not been in the market has been promoted, but in the domestic IT operational dimension has a very advanced strength and deep good reputation, As their CEO said, they are Germany, members are very good, no international top stars, fully believe in technology, detail building and teamwork. In this issue of Cloud Pioneer column, we interviewed to listen to Cloud Vice President MoCA, the following is an interview collation.

Listen to Cloud Vice President Moca

CSDN: Introduce yourself and your company first? What is the structure of the company now?

Moca: Hello everyone, I am Moca, responsible for listening to the cloud SaaS product build and the company marketing work. Founded this July, it launched the listening cloud, an end-to-end SaaS-oriented product focused on applied monitoring and analysis management. From the previous only to large customers open use to all-round open to the long tail customers.

Founded in 2007, has nearly 8 years of time, has been focused on the field of performance monitoring. Although has not been in the market has been promoted, but in the domestic IT operational dimension has a very advanced, deep good reputation, customer service including Google, IBM, bat and other more than 500 large enterprises. is also the world's leading technology information company Gartner in the field of APM, the only research focus of the company. The company team currently has 150 people, 70% is the research and development team. We are a very sense of mission, unity and efficient and pragmatic team, passion and dream more with the code and product expression. In our CEO's words, we are Germany, the member is very high quality, no international top dazzling star, fully believe in technology, detail to build and team cooperation.

CSDN: What is the user size of the current listening cloud platform? Are there any heavyweight users?

Moca: Listen to the cloud on line since quickly attracted the favor of the vast number of developers, just 3 months, has nearly million users. Including the company's existing heavyweight customers, such as bat and other domestic Alexa ranked top 100 of the site has 81 in the use of listening to the cloud, as well as in the field of mobile focus on the force such as beautiful said, Han court, easy cars, peace, poly-Mei excellent products are also our customers. And with the Cloud App 2.0 and listening to Cloud server's latest online, I believe that before the end of the year will usher in more need to listen to cloud developers and large customers.

CSDN: At present the domestic and foreign market does APM this piece of company many, but also is based on the SaaS platform, your advantage? What are the products?

Moca: Listen to the advantages of cloud I'll say two points: first, the technology leadership; the second minimalist experience.

From the technical leadership point of view, listen to cloud has the domestic absolute leading technical ability.

Listening to cloud app, we are tracking the slow interactions within the app, and our self-developed monitoring engine retains detailed slow interactive tracking data for users. Including the specific pages generated by this slow interaction, in the process of CPU, memory changes, as well as the detailed front and back of the method in the call stack and network access, which is the same area of any domestic product can not be done. The difficulty lies in how to trace the analysis of the interactive performance of the page without increasing the SDK size. In addition, embedded SDK is necessary for the performance monitoring in app, and how to realize small volume is a technical difficulty. Listen to Cloud App SDK only dozens of K, the same domestic and foreign similar companies are also the absolute leader, we than the international well-known one to do APM company in this respect do better, iOS SDK is its one-second size. In fact, the above two points of technical advantage is also for Nativeapp performance monitoring is essential, otherwise it will not be specific positioning problems, but also affect the user experience of the app. Actually hope that the broad masses of developers in the use of the same type of products also need to focus on these two points.

Listen to cloud server's technical advantage is also very obvious, we have a priority in the domestic support of PHP. PHP language is generally used in mobile applications server and Web site more use, which also indicates that listening cloud in the Internet technology accumulation is very strong. Another big technical highlight is to listen to cloud Server can be a code-level positioning of the problem. We can see that user access to application satisfaction is low because the code executes slowly, or if the SQL statement query time is long, or because the database structure is unreasonable. Line-level positioning of the code is very technical difficulty, in addition to listening to the cloud has not seen other companies have the same ability to online.

And for the long-term experience of network monitoring is in this regard let us listen to cloud receptacle technology more vertical and in-depth, mainly in the service data quality and support network performance monitoring multidimensional index level. Monitoring performance indicators are 20% to 30% more than similar products. Here special emphasis on the first screen time this indicator, in fact, we are the first to put forward and promote, and by the Ministry of Information acceptance, as its long-term evaluation of the quality of Internet access is an important reference. In fact, most of the technical staff now also deeply endorse the indicator, but do not know is to listen to the cloud proposed. Listening to cloud receptacle is the industry's technical standard on some levels. Again, data quality, our independent research and development of data point monitoring and health optimization system to the highest degree of protection of data interference exclusion, as well as the objectivity of the final data results, which is critical to customers. Many of the same type of company can also achieve the same function, but often the objectivity of the data will be very large deviations, only for reference, and sometimes even give false judgments, resulting in customer losses.

Second, the minimalist experience. Traditional APM products are also good at home abroad, are multidimensional reports for users to query the pattern, which requires the user to understand the technology is very in-depth and professional, and need to spend a long time familiar with the product and define their own attention to the report, after discovering the problem and then to do their own analysis (such as Newrelic). Listen to cloud innovative put forward the concept of integrated diagnostics, so that users can listen to the cloud without looking at the report, first get the performance of comprehensive diagnostic scoring, and give specific questions, user-friendly and specific tracking. The advantage here is that our performance indicators through long-term large data analysis and mining to define specific indicators, no longer need users to define their own, but also more simple to understand, we have been looking forward to the technology of SaaS products to different levels of users can use products. And the advantage behind this is also our 8 years of focus on the performance of large data accumulation and mining experience, is not replicable.

The above diagram is the Listening Cloud index which will be released in November (click to view larger image)

Listening Cloud products currently have listening cloud app, listen cloud server and listen to cloud receptacle three important product lines. From the mobile client to the server to the network level, all-round help customers real-time monitoring and positioning from the crash, error, code inefficient quality, interactive slow, Third-party API call failure, To the network environment error and other multidimensional complex performance problems (according to our observation and calculation of the application of performance problems combined total of more than 107 million kinds).

An application with performance problems resulting in delayed response 10 seconds later, nearly 5% of users will be discarded. For the type of business is the daily turnover of the decline, for the game is the direct loss of user ARPU, and for other enterprise or CRM types of applications, also means that the interruption of service, the loss of user satisfaction. I think, whether the mobile phone or server side, each application needs to listen to the cloud to provide you with a sound mechanism of auscultation, do not let this situation without adequate preparation of the situation.

Listen to cloud divided into free, professional and Enterprise version, for the different needs of enterprises to provide intimate supporting services. For a start-up small micro development mobile app Enterprise, early team small, technology accumulation and limited funds, app to rely on creativity and speed to get into the market, realize the dream, then you can listen to the cloud free version can fully meet them in the app after the first time positioning to solve performance problems, No, they cost a lot of money to hire specialized engineers to troubleshoot problems, nor do they need to troubleshoot a problem for 1-2 weeks and miss the best time to develop. For already have a certain user scale, and need more depth professional performance management Services business, then use Professional Edition is good, with the right price to gain value experience, and the Enterprise version will provide more flexible customized 24-hour butler service, and effectively meet the complexity of management.

CSDN: What are the latest products and features for app performance monitoring?

Moca: We have the latest online app 2.0 for mobile Native app. Listen to Cloud App2.0 in addition to the original crash, error, network situation, Third-party call API, etc. for a variety of dimensional monitoring, but also mainly increased the interactive performance of the app monitoring. App Interactive performance monitoring uses the SDK engine to monitor the time consumption of each app view (commonly known as a page) when the end-user interacts with the app, helping app developers understand the efficiency of the app's code execution when interacting with end users, Provides valuable reference data for app code optimization and user experience improvements.

In addition, there are many valuable information available to developers from an interactive perspective, such as the Hot View Top5, the number of views accessed, the execution time, the total duration, and so on. It can be said that for a native app, 1.0 can solve 70% of the app performance problem, 2.0 can solve more than 90% of the app performance problems, and a few other domestic companies doing such services, No one can surpass our ability to listen to cloud App1.0, many of which remain in the monitoring of simple levels of crash issues.

CSDN: What are the problems that customers are most concerned about, and what are your coping strategies? What do you think is the greatest value to the customer?

Moca: For customers, services that use performance management classes are more concerned with their privacy and data security.

We from the technical means will default end user parameter encryption hidden, data transmission will also be encrypted, fully protect the customer business privacy. We have now obtained the Green Union's security assessment approval.

From the perspective of listening to cloud services, for an enterprise, the different roles of people concerned about the problem is different. The business owner pays more attention to the direct impact of performance on business performance, such as user churn, user activity, user satisfaction, and eventual transaction losses. For example, for social networking, the application of information services, the application of slow interaction behavior will directly affect the active and user retention, and for the application of O2O, in fact, they are more concerned about the real performance of key business issues, such as payment problems, due to network problems, resource loading, Failure to pay due to an interface call can result in a rollup failure rate of up to 5%.

If it is an enterprise version of customers, we will be divided into different industries combined with the customer's business targeted to identify performance related business indicators, and 24-hour monitoring, regularly help customers in performance analysis, point out the key issues, put forward optimization recommendations. We will also consider the definition of performance metrics on the product by industry attribute orientation.

The use of listening cloud for customers usually has two most significant value, one is to be able to do without user feedback: the first time to discover performance problems, directly through its application of the performance problems of the discovery and rapid optimization to upgrade key business indicators, such as daily live, monthly live, ARPU, guv and so on. On the other hand, listen to cloud can greatly enhance the customer's research and development iterative efficiency, reduce product optimization costs. For start-up enterprises and small and medium-sized teams can not have the manpower, financial resources to carry out special operation and maintenance monitoring. In limited capacity, but also to accelerate product iterations, this is to listen to cloud can do for developers, and for mature enterprises, the company's internal process department complex, usually positioning and solve a performance problem to a multisectoral linkage, even if the process is also a longer period of time. And listen to the cloud can do the second level to find problems and alarm, 1-minute positioning problem, for mature enterprises is also very valuable.

For example, we take the process of using a listening cloud server product to change the positioning of a SQL performance problem, from a traditional 9-step process to a direct simplification to 5 steps.

CSDN: What is the current situation of the development of APM in foreign countries, which direction do you think the future APM will develop?

Moca: The main technology providers in the field of foreign APM are new relic, AppDynamics and Compuware. New Relic for developers to provide application-oriented management services, while appdynamics for traditional enterprise customization services. For domestic users, it is also difficult to access these services, one is the localization of foreign products is very insufficient, the first product design for the Chinese developers are not friendly enough to experience a complex, easy to use; second, for China's internet and mobile Internet development process is not enough to understand, the availability of limited, landing more difficult.

For real-time data interpretation of performance, listening to the cloud as the most successful in the past 10 years the localization of Third-party performance monitoring platform, witnessed the development of China's Internet and mobile Internet transformation, more understanding of the Chinese Internet, the performance of data interpretation and analysis is more in line with China's actual situation (such as complex operator network, 2G/3G /4G replacement, 3 line 4 line small city area and so on complex situation. Third, the speed problem, real-time performance data for the first time to find the location of the problem is very important, time for developers and enterprises is wealth, foreign APM enterprises in this point can not meet domestic customer demand. About Future APM, maybe we can redefine it. This m, the internationally renowned IT consulting firm Gartner, interprets it as monitoring, or monitoring. I think the future of APM will be very different, there are several aspects:

First, from the simple monitoring to the discovery and positioning of a one-stop solution, we now have a big step forward at this level.

Second, the traditional APM more from the operational perspective of this problem, more are some basic performance issues, I do not know what needs to be more in-depth to maintain the status quo. In the future I think it will develop in a business-driven perspective. According to the business of different enterprise, the management dimension of the performance also need to dig deep.

Third, performance data is actually large data, the analysis of large data and value mining will play a very important role, and then can further predict the performance problems will occur. The cloud provides a 8-year performance monitoring service that accumulates a significant amount of valuable data, as mentioned above, and there has been some real progress in this regard.

CSDN: What is the future plan of listening cloud?

Moca: The first is to continue to focus on a good listening cloud products, leading does not represent 100 points, we can do better. I have been told that for technology-oriented products, the use of developers, experience can be more than the user product almost no relationship. I do not think so, I really want to make a better product functional experience and interface for developers to use, so that they use our products in addition to meet their needs, can have a little pleasure.

Another point of chicken blood, we hope that in a few years Yao Sheng international arena, become the world's recognized first-class application performance research management platform, which also requires more talented people to join, welcome to join us.

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Web site fit 2. Friends 2010  
Yao Hongyu
@ friends microblogging C, C + +, Java Product Development &NBSP
3. Aggregation Data
2010
Zole  
@ Aggregation Data mobile data Service 4. Anchora 2009 Lu Weimin       

Mopaas and inpaas 
5. Fast enough 2012 years
Chiang Kai-miao @ fast enough technology  
Cloud storage
6. Evans Hai Hui
2012 Wu Kai
@ Evans OpenStack Public Cloud      &NBSP
7. Sohu Cloud 2011 Chu Yingbo
Sendcloud                 &NBSP
8. Lenovo Cloud Storage 2009 Luo Jinjin
Cloud storage 9. Nanjing Intelligence 2012 She Janxia
Large Data real-time analysis 10. Shanghai San He race 2012  
Golden Sword  

Cloud management, cloud storage               &NBSP
11. National Cloud Technology  
2010
Ji Kai
@ National Cloud Technology Cloud operating system               &NBSP
12. SSO365 2012 Jian              &NBSP

Cloud security, Cloud identity authentication  
13. Cloudil Cloud Solution 2001
Yes @ Century Ding Li  
Communications operator                
14. Multiple backup  
2013Hu Maohua            
@ mu Lang cloud backup                 
15. Shanghai Wang Software 2011                 &NBSP
Cloud based build station software supermarket  
16. Cloud Wisdom 2009 Yinjin @ Monitoring treasure cloud monitoring, based on large data APM 17. Shenzhen Zeyun 2012 He Gianbin
High Performance Storage System 18. Shenzhen Wisdom Crown 2004 Lu Huili  
Biological identification of hand veins, virtualization 19. Beijing Vauan Technology 2009 Cao XUEWU Tech Mobile video technology provider 20. Star Ring Information Technology 2013 Vauan @ Star Ring Tech data analysis Platform 21. Hangzhou Count Cloud 2011 Xuanxiaohua @ Hangzhou Cloud Data Mining
22. Red Elephant Cloud
2012 Long @RedHadoop
Large data platform based on Hadoop 23. Apicloud 2013 Shanda @APICloud Cloud API and end API
24. SEQUOIADB
2012 Wang Tao @SequoiaDB
Large data, cloud computing, NOSQL&NBSP,
25. Syscloud
2012 Zhangxiong  

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