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This article introduces how the log service SLS solves the problem of business data collection, query and monitoring. The content is very detailed. Interested friends can use it for reference. I hope it will be helpful to you.

Company introduction

Shishu APP is a shopping guide application under Tiger Pop Sports, which is committed to providing professional online shopping decision-making guidance for young users, bringing young people the most timely and popular online shopping information such as sports, trend, life, fashion and so on. At the same time, the professional appraisal and audit mechanism of identification sports equipment has also established a good reputation in the industry.

Business introduction

Shishi is a shopping platform specializing in sports trend. in the early days of its establishment, it mainly provides discounts for users and shopping guides for authentic sports shoes. It will evaluate the popular sports shoes in the market and pass on the real sports shoes experience to enthusiasts. Then gradually derived, including household appliances, clothing, food, home and other full categories of preferential information guide shopping. In 2014, the online Haitao Channel began to recommend high-quality and cheap goods from overseas mainstream shopping malls to online shopping users.

Based on such business scenarios, goods identification needs to dock a large number of platform data, and uniformly process and enrich these platform data, and finally access to the actual business platform for analysis and decision-making.

How to solve the problem of data collection and flow peak

Docking multi-platform data, the data format is not uniform, and it is difficult to organize.

After docking with mainstream platforms at home and abroad, including Tmall and JD.com, and through data analysis and decision-making, we recommend high-quality and inexpensive goods to users, but the data format of each platform is not unified, which brings difficulties in processing.

Data analysis, demand side covers product R & D, operation, maintenance, operation, finance, etc., and needs to provide interface chart ability.

In addition to analyzing the commodity data of the platform, we also need to connect the application system, the background server, the log data of K8s, and the bill and expense log. The demand side of data analysis covers product R & D, operation and maintenance, operation and finance, and it is necessary to provide a more interface and easy-to-use reporting capability to meet the demands of all parties.

E-commerce activities bring the flow peak, how to deal with the sudden increase of traffic scenario

The e-commerce attributes of the identification platform will bring a flood of traffic in the Singles' Day and other e-commerce activities or when operating brand activities. Therefore, it is necessary to have a highly flexible log platform to help the platform achieve rapid expansion and reduction of resources during the period of traffic peaks and troughs.

Log service products solve the problem of business data collection, query and monitoring to help identify goods.

In response to the requirements of the goods recognition business for regular data processing, multi-dimensional data analysis, multi-visualization platform capabilities and flexibility, Aliyun provides log service products as a solution to help customers solve business data collection, query and monitoring problems.

In the aspect of data regularity processing, log service provides managed, highly available and scalable data processing services, which is widely used in data normalization, enrichment, distribution, aggregation, re-indexing and other scenarios. With full hosting, operation and maintenance-free, out-of-the-box features, provide DSL choreography capabilities, built-in 200 + functions, built-in operators, can quickly achieve secondary development. To help identify goods for the number of goods on multiple platforms, as well as for different business modules, including community business, identification business, basic services and other module data for unified processing and enrichment processing, so as to achieve business value.

In the aspect of data visualization, the log service provides real-time data analysis, which can display the commonly used query analysis statements in the form of charts and save the statistical charts to the dashboard. At the same time, the market supports Restful API and JDBC protocols, and the page can be embedded in any business system, except Dashboard, to connect with DataV, QuickBI, Grafana, Zipkin, Jeager and other ecology, to achieve more flexible data display. Help different teams who recognize the goods to create simple and intuitive data charts according to their specific business demands.

In terms of flexibility, log service can be flexibly scaled according to traffic, which can well adapt to the sudden traffic caused by promotional activities on the identification platform, expand and scale the service according to the actual business needs, and help customers avoid the concerns caused by sudden traffic. can be more focused on the business itself.

The effect achieved

Through the log service capability, the identification platform realizes the efficient and orderly unification of multiple data channels, and meets the demands of different business departments for different dimensions of data analysis. Help identify the goods platform to truly achieve data-driven business development.

On the log service SLS how to solve the business data collection query monitoring problem is shared here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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