CSS can be used to analyze logs in all scenarios, including ELB logs, server logs, container logs, and application logs.

Kafka serves as the message buffer queue in peak and off-peak hours. Logstash is responsible for data ETL, Elasticsearch is responsible for data retrieval and analysis, and Kibana displays the data to users in a visualized manner.

• Lower Costs

  CSS uses Kunpeng computing power, separates cold and hot storage, and decouples computing and storage resources, achieving higher performance with 30%+ lower costs.

• Easy-to-use GUI

  Perform queries in a GUI editor. Easily create reports using drag-and-drop components.

• Quick Processing

  CSS can import hundreds of terabytes of data per day, and can process petabytes of data.

E-commerce and logistics companies have to respond to a huge number of concurrent order queries within a short period of time.

Relational databases, despite having good transaction atomicity, have weak transaction processing capabilities, and can use CSS to enhance OLTP and OLAP capabilities.

• High Performance

  Retrieve data from hundreds of millions of records within milliseconds. Text, time, number, and spatial data types are supported.

• High Scalability

  CSS can be scaled to have over 200 data nodes and over 1000 data columns.

• Zero Service Interruption

  Rolling restart and dual-copy mechanisms don't cause service interruption when specifications change or configurations are updated.

Perform nearest neighbor search (NNS) or approximate nearest neighbor search on unstructured data, including images, videos, and corpuses.

• High Reliability

  Enjoy high search performance and strong disaster recovery capabilities provided by Huawei's proprietary search engine.

• Diverse Indexes

  Choose from a wide range of index algorithms and proximity measures to meet your business needs.

• High Compatibility

  CSS is fully compatible with the open-source Elasticsearch syntax and ecosystem.