Typical application scenarios of log service include ： Data acquisition and consumption 、 Data cleaning and flow calculation （ETL/Stream Processing）、 Data warehouse docking （Data Warehouse）、 Log real-time query and analysis .

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Data acquisition and consumption

Through the logging service LogHub function , It can access all kinds of real-time log data on a large scale and at low cost （ Include Metric、Event、BinLog、TextLog、Click etc. ）.

Program advantages ：

Easy to use ： Provide 50+ Real time data acquisition mode , Let you quickly build a platform ; Strong configuration management capability , Reduce the burden of operation and maintenance .
Stretch and stretch ： Whether it is traffic peak or business growth, it can easily cope with .
chart 1. Data acquisition and consumption

Data cleaning and flow calculation （ETL/Stream Processing）

Log Center （LogHub） Support docking with various real-time computing and services , And provide complete progress monitoring , Alarm and other functions , And can be based on SDK/API Realize custom consumption .

Easy to operate ： Provide richness SDK And programming framework , Seamless connection with each flow computing engine .
Monitoring and alarming ： Provide rich monitoring data , And delayed alarm mechanism .
Stretch and stretch ：PB Level elasticity ,0 Delay .
chart 2. Data cleaning and flow calculation

Data warehouse docking （Data Warehouse）

Log delivery （LogShipper） The function can center the log （LogHub） The data in is delivered to the storage service , The process supports compression 、 Customize Partition、 And various storage formats such as rows and columns .

Huge amounts of data ： There is no upper limit on the amount of data .
variety ： Support line 、 Column 、TextFile And other storage formats .
Flexible configuration ： Support user customization Partition Other configuration .
chart 3. Data warehouse docking

Log real-time query and analysis

Real time query analysis （LogAnalytics） It can index in real time LogHub Data in the , Provide keywords 、 Fuzzy 、 Context 、 Range 、SQL Aggregation and other rich query means .

Strong real time ： After writing, you can query .
Massive low-cost ： Support PB/Day Indexing power , The cost is self built scheme 15%.
Strong analytical ability ： Support multiple query methods , And SQL Do aggregate analysis , And provide visualization and alarm functions .
chart 4. Log real-time query and analysis