This topic describes the common scenarios and customer cases of the synthetic monitoring feature.

Scenarios

The synthetic monitoring feature can be used in the following scenarios:

  • Availability monitoring

    The synthetic monitoring feature implements scheduled access to the endpoints of monitoring points of different carriers and types. This feature continuously monitors the connectivity of required websites or URLs. If the websites or URLs become unavailable, the synthetic monitoring feature reports an alert in a timely manner.

  • Performance analysis

    The synthetic monitoring feature can carry out performance analysis on network, webpages, and file transfer tasks. Network performance analysis involves metrics such as overall network latency, DNS resolution time, and Tracert latency. Webpage performance analysis covers the entire process from the input of a URL to the complete loading of a webpage You can also perform drill-down analysis of webpages based on page loading waterfall charts. File transfer performance analysis is performed based on metrics such as transfer speed and time to first byte.

  • Hijacking monitoring

    After you specify monitoring parameters, the synthetic monitoring feature can monitor common hijacking scenarios such as DNS hijacking, link hijacking, and traffic hijacking. In addition, the synthetic monitoring feature retains related data when hijackings occurred to help you perform hijacking analysis.

  • CDN diagnosis

    The synthetic monitoring feature can proactively select monitoring points based on your region to obtain the most standard data parsed by CDN and achieve intuitive diagnosis. The synthetic monitoring feature uses a black box model. Therefore, you can the preset CDN quality model to evaluate the CDN quality of different providers and help you select cost-effective CDN providers.

  • Competitive analysis

    The black box nature of the synthetic monitoring feature allows you to monitor competitors' business in addition to your own business and obtain first-hand data on the user experience of competitors.

Customer cases

Case 1: Monitoring and evaluation on the network performance of a news website

Customer concerns

A news website has more than three million daily active users all over China. Its annual operation and maintenance expenses exceed five million yuan.

The following complaints are often received from users: the website is inaccessible and access to news articles is slow. However, local tests indicate that the website can be normally accessed. As a result, user activities on the website dramatically fall and the retention rate of the website decreases to a dangerous level.

Business insights

The key to solving this problem is to effectively verify the problems encountered by users when they access the website.

You must obtain the real performance and user experience data when users of carriers in different cities access the website and allow the website to use the data in its operation and maintenance policies.

Solutions

The synthetic monitoring feature selects monitoring points of carriers in different cities, creates browsing tasks, accesses the website from the end user side, verifies the access performance and user experience of the website, and finally improves the efficiency of website operation and maintenance.

Related scenarios

  • Network egress monitoring

    The synthetic monitoring feature runs the ping and tracert commands on the monitoring points of major carriers across China to obtain data on packet loss and route changes and check fluctuations in network egress quality.

  • Carrier cutover changes

    The synthetic monitoring feature can discover the cutover start time, the recovery time of Internet egresses between carriers and users, and the business recovery time by checking whether application pages can be accessed from the monitoring points of major carriers across China.

  • DNS and page hijacking

    The synthetic monitoring feature can use IP whitelists to detect DNS hijacking and use domain names to detect page hijacking. These improve user experience and security although they cannot eliminate hijacking behaviors.

Case 2: Marketing event page monitoring and problem positioning for an e-commerce website

Customer concerns

An e-commerce website has more than one million daily active users who mainly reside in third-, fourth-, and fifth-tier cities. Its annual operation and maintenance expenses exceed two million yuan.

Commodity information is rapidly updated during promotion periods. The following complaints are often received from users: commodity pictures cannot be loaded and access to commodities is slow. This results in a low conversion rate and slow business growth.

Business insights

The key to solving this problem is to obtain real access data for users across China before marketing events.

After commodity information is updated, you must obtain real access data for users of carriers in different cities at the earliest opportunity, determine the pictures and pages that cannot be accessed, and then ask the technical team to fix them in time.

Solutions

The synthetic monitoring feature selects monitoring points of carriers in different cities, creates browsing and network tasks, obtains real access data for users, accurately locates page elements that cannot be accessed, and helps the technical team fix problems in a timely manner.

Related scenarios

  • Stress testing

    Before the formal launch of a marketing event or a new system, the synthetic monitoring feature simulates high-concurrency access from users in peak hours. Increasing peak pressure helps check changes in major performance metrics and identify performance bottlenecks.

  • First meaningful paint monitoring

    Real-time monitoring can immediately verify problems and reproduce faults, and then evaluate and optimize website performance.

  • Competitive analysis

    The synthetic monitoring feature collects and analyzes the performance of competitive marketing activities in the same industry, helps check the changes in competitive marketing situations, makes targeted IT investment, overcomes marketing weaknesses, and maintains leading positions.

Case 3: CDN quality monitoring and optimization for a video website

Customer concerns

A video website has more than ten million daily active users all over the world. Its annual operation and maintenance expenses exceed one million yuan.

The following complaints are often received from users: video clips are loaded at low speeds and video playback severely lags. User activities gradually fall and core business is affected.

Business insights

The key to solving this problem is to effectively verify CDN problems encountered by global users when they access the website.

You must obtain the real access data of global users and evaluate the CDN quality.

Solutions

The synthetic monitoring feature selects monitoring points of carriers in different cities, creates browsing and network tasks, obtains real access data for users, quantifies the direct impact of CDN on user experience, and helps the technical team implement service procurement and performance optimization.

Related scenarios

CDN quality evaluation: The synthetic monitoring feature creates comparison tasks for different CNAMEs for periodic monitoring, generates comparison reports, monitors and evaluates CDN quality, and provides objective third-party data for CDN selection. This can quantify CDN quality, quickly locate common CDN problems, implement accelerated optimization, and maximize the input-output ratio.

Case 4: Comparative analysis for a large life service website

Customer concerns

A life service website has more than ten million daily active users all over China. Its annual operation and maintenance expenses exceed ten million yuan.

The website faces fierce competition in the industry and high user churn. Users often select other websites because of user experience problems such as too long waiting time for website access.

Business insights

The key to solving this problem is to obtain the performance and user experience data of competitors in the industry and compare the differences between the website and its competitors.

You must compare competitive applications from the perspective of the end user, obtain the differences in performance and experience in real time, and make policies to gain competitive advantages.

Solutions

The synthetic monitoring feature compares competitive applications from the perspective of the end user, performs combined analysis in multiple dimensions such as region, carrier, trend, and problem proportion, and obtains the differences in performance and experience in real time. This can accelerate service iteration and decrease user churn.

Related scenarios

Competitive analysis: The synthetic monitoring feature collects and analyzes the performance of competitive products in the same industry, helps check the changes in industrial situations, makes targeted IT investment, overcomes weaknesses, and maintains leading positions.