Edge Security Acceleration：Access log analysis report

Prerequisites

Simple Log Service is activated.

Report classification

Procedure

1. Log on to the DCDN console.

2. In the left-side navigation pane, choose Logs > Real-time Logs.

3. On the Real-time Logs page, click Analytics and Alerting in the Actions column of the project that you want to query. You are redirected to the dashboard page in the Log Service console. The analysis report of the specified log type is loaded on the page.

   

4. On the dashboard page in the Log Service console, click Time Range to select the time range of logs that you want to query.

5. Click Refresh, and select a refresh frequency based on your business requirements. For example, you can select Once or Auto Refresh.

6. Select a domain name, a URI, or an IP address to analyze log data. The analysis report that is displayed varies based on the domain name, URI, and IP address.

   Note

   One log is generated for each request.

   Type	Dimension	Result
   Basic information	Total number of PVs	The total number of requests.
   	Total number of UVs	The total number of IP addresses that visit a site.
   	Percentage of error requests	The percentage of error requests. Note Percentage of error requests = Total number of 4xx status codes/Total number of logs
   Data distribution and trends	Distribution of PVs	The distribution of PVs is displayed on a map of China or a map of the world. If you move the pointer over a region, a small window appears and displays the name of the region and the number of PVs in the specified time range.
   	Trends of PVs every 5 minutes	The changes in the PVs on the specified date. The time granularity is five minutes.
   Top ranking	Top10 URI	Domain names, URIs, and numbers of visits are displayed.
   	Top10 IP	IP addresses and number of visits are displayed.
   Error message	Trends of error codes	The trends of 4xx status codes are displayed in a double line graph.
   	Top 10 domain names in which errors occur	The top 10 domain names in which errors occur are displayed in a table.
   	Top 10 URIs in which errors occur	The top 10 URIs in which errors occur are displayed in a table.
   	Top 10 IP addresses in which errors occur	The top 10 IP addresses in which errors occur are displayed in a table.
   Performance metrics	Cache hit ratio	The changes in the cache hit ratio are displayed in a trend graph.
   	Response latency every 5 minutes	The response latency is displayed in a trend graph.
   User profiles	Distribution of UVs	The distribution of UVs is displayed on a map of China or a map of the world. If you move the pointer over a region, a small window appears and displays the name of the region and the number of UVs in the specified time range.
   	Distribution of Referers	The distribution of Referers is displayed in a table. You can view the data of the refer_domain and total fields.
   	Distribution of UAs	The distribution of UAs is displayed in a table. You can view the data of the user_agent and total fields.

Scenarios

• Scenario 1: Analyze the effect of an advertisement. The advertisement is posted on a URI.

  • Filter condition: Select a domain name and a URI.

  • Analysis method:

    • You can view the Distribution of PVs graph to obtain the geographical distribution of PVs and UVs for the advertisement. Then, you can analyze the effect of the advertisement in each region.

    • You can view the Trends of PV every 5 minutes graph to obtain the visit trend of the advertisement.

    • You can use the Distribution of Referers to view the channels from which users visit the advertisement.

• Scenario 2: Optimize the design of API operations for a website based on data analysis

  • Filter condition: Select a time range for the Time Range field.

  • Analysis method: You can view Top 10 URIs and analyze information about API calls and the response performance of each API to optimize the design of API operations for the website, such as deletion and merging.

• Scenario 3: Identify possible threats

  • You can view Top 10 URIs and Top 10 IP addresses to identify whether your services are vulnerable to attacks. For example, normally, your website is accessed up to 20 times per second. Analysis shows that the number of requests per second for your website is more than 100. In this case, your website may be attacked. You can add the IP address that attacks your website to the blacklist to block the IP address from accessing your website.

  • You can view Distribution of Referers and analyze the information about the Referer to check whether your service has hotlinking. If a proportion of requests are from an unknown domain name, the resources on your website may be accessed by the unknown domain name.