Cloud Search Service (CSS)
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Cloud Search Service (CSS)

    Cloud Search Service (CSS)

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    Fast Retrieval

    Gain insights from terabytes of data in milliseconds and use our visualization platform for data display and analysis.

    Scalable Online

    Request clusters and scale them online with no service interruptions.

    Effortless O&M

    A fully-managed, out-of-the-box service backed by our expert teams. Routine operations take just a few clicks.

    Strong Kernel

    A fast, affordable vector search engine, with decoupled compute and storage and isolated read and write.

    Recommended Configurations

    Recommended Configurations

    • Basic Cluster
    • Medium Cluster
    • Advanced Cluster

    Why Cloud Search Service?

    Compatible with Elasticsearch

    Compatible with Elasticsearch

    • Native Elasticsearch APIs and other software in the ecosystem can be used, such as Logstash, Beats, and Kibana.

    • A few simple configurations can allow you to smoothly connect to data sources, such as FTP servers, OBS buckets, HBase, and Kafka. No extra coding is required.

    • You can custom your dictionaries. Modified settings take effect immediately without system restart.

    • You can trigger snapshots manually or on a periodic basis for backup and restore snapshots.

    Strong Kernel

    Strong Kernel

    • Import performance has been enhanced. The log write performance is improved by 50%.

    • The aggregation analysis is faster. The performance of sorting field-based statistical analysis is improved by 200%.

    • Supports decoupled storage and compute, reducing the cold data storage cost by 80%.

    • Supports Zstd compression, reducing the data storage space by 20%.

    Effortless O&M

    Effortless O&M

    • One-click cluster application, capacity expansion, and restart from small-scale testing to large-scale rollout

    • The intelligent O&M module detects potential cluster risks, provides risk handling suggestions, and reports alarms.

    Enhanced Semantic Search

    Enhanced Semantic Search

    • Industry-leading performance of text vectorization.

    • The cost-effective vector search engine developed by Huawei is No.1 in ANN-Benchmarks.

    Use Cases

    Site Search
    Site Search

    Search by keyword and get website recommendations.

    Advantages
    Real-Time Retrieval

    New content can be retrieved within minutes, or even seconds after updates.

    Categorized Statistics

    Search results are categorized, for instance, by product type.

    Custom Highlighting

    You can define how search results are highlighted.

    Related Services
    OBS
    MRS
    CDM
    All-Scenario Log Analysis
    All-Scenario Log Analysis

    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 you in a visualized manner.

    Advantages
    Lower Costs

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

    Easy-to-use

    You can 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.

    Related Services
    ELB
    ECS
    CCE
    DMS (for Kafka)
    Database Query Acceleration
    Database Query Acceleration

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

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

    Advantages
    High Performance

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

    Highly Scalable

    CSS can be scaled to have over 200 data nodes and over 1,000 data columns.

    Zero Service Interruption

    Rolling restarts and dual-copy systems do not cause service interruptions when specifications are changed or configurations updated.

    Related Services
    MySQL
    DMS (for Kafka)
    Vector Search
    Vector Search

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

    Advantages
    High Reliability

    Enjoy high search performance and strong disaster recovery capabilities provided by Huawei-developed vector 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.

    Related Services
    OBS
    ModelArts

    Customers

    Customers

    Mengxiang Group Minovate Deppon T3Go
    Working with Huawei Cloud, Mengxiang Group Explored a Supplier-to-Business-to-Consumer Business Model

    Mengxiang Group uses CSS in its search and recommendation platform to improve the search experience and conversion rate.

    Minovate Works with Huawei Cloud to Create a Stable, Healthy, and Funny Mini World

    Minovate uses CSS to analyze archived player data and push targeted advertisements for precision marketing.

    Huawei Cloud Cooperates with Deppon to Explore Intelligent Delivery Solutions

    Deppon uses CSS to extract and analyze key information from orders, such as the total volume and weight of goods sent from one place to another, and optimize its scheduling of trucks, trains, and airplanes.

    T3Go Partners with Huawei Cloud to Build a New Marketing Platform that Integrates People, Vehicles, Stores, and Factories

    T3Go uses CSS in scenarios such as vehicle scheduling, order analysis, and log management to implement data-driven operation and log-driven O&M.

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