All Products
Document Center

Function Compute (2.0):Use Function Compute to process website files

Last Updated:Feb 02, 2024

This topic describes how to use Function Compute to implement features of a file management website, such as automatic file compression and decompression and image resolution processing.


An image website provides image tagging services and has the following requirements:

  • Automatic package update

    After a specific image is updated and uploaded to a directory in Object Storage Service (OSS), the corresponding object in the directory needs to be automatically compressed. The compressed package is distributed to different workgroups for processing. After the workgroups download the package, the MD5 value of the package need to be obtained to check whether the downloaded files are consistent.

  • Automatic package decompressing

    After specific images for public display are uploaded to OSS in packages, the packages must be automatically decompressed so that the images can be referenced by front-end pages, and the meta information of the images needs to be obtained to meet various requirements.

  • Automatic image crawling

    Specific material pictures need to be crawled from particular image groups on the website and added to material libraries.

  • Automatic packaging

    Some image groups contain a large number of images in various categories. The image groups are updated every now and then. When a user downloads images from one of these groups, the images need to be automatically packaged and distributed.

  • Automatic screenshot taking and archiving, image resolution unification, and watermarking

    • Capture screenshots of web pages at a regular basis and archive the screenshots.

    • Apply unified resolutions and add watermarks to images.

Solution overview

The following figure shows the architecture of the solution.


Process description:

  • When you perform a specific action, the corresponding OSS and HTTP triggers are triggered.

  • Function Compute executes corresponding functions to perform specific operations on the images based on the passed parameters.

  • In this process, all logs are written to the corresponding project of Simple Log Service to facilitate debugging and query.


  • Events and requests can be dynamically scaled to implement intelligent resource scheduling.

  • You are charged only for used resources. The metering granularity is accurate to milliseconds.

  • Files are processed on different ECS instances to ensure data security.