Alibaba Cloud Elasticsearch suits a wide range of use cases, including integrated monitoring, intelligent operation and maintenance (O&M), information retrieval, and data intelligence.
Jump to your scenario:
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Integrated monitoring and intelligent O&M — centralize logs and metrics from heterogeneous infrastructure, then surface issues through Kibana dashboards
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Information searches — build full-text, fuzzy, and condition-based search across petabytes of structured and unstructured data in milliseconds
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Data intelligence — run complex aggregations on business data to identify trends and support data-driven decisions
Integrated monitoring and intelligent O&M
What you get: a single platform to collect, store, and analyze logs and metrics from every layer of your infrastructure — without the high storage cost of keeping data you cannot query efficiently.
Modern environments generate large volumes of metrics, logs, and application performance monitoring (APM) data from heterogeneous sources: servers, physical machines, Docker containers, mobile devices, and Internet of Things (IoT) sensors. The structural diversity of this data makes end-to-end anomaly detection, business analysis, and business O&M difficult, and storing it all at scale is expensive.
Alibaba Cloud Elasticsearch addresses this with Beats and Logstash for scalable, centralized data collection from any source, combined with out-of-the-box storage and analysis capabilities. Use the built-in Kibana service to build operational dashboards — configure hostnames, IP addresses, deployment statuses, and display colors — so your team can spot issues at a glance instead of combing through raw log files.
Information searches
What you get: full-text search in milliseconds across petabytes of data, delivered through a RESTful API that integrates into any existing business framework.
Every modern application needs search: credit card statements, electronic invoices, nearby restaurants, news feeds, shopping orders, logistics tracking. Relational databases struggle to deliver the performance and flexibility that high-volume search demands.
Elasticsearch provides stronger full-text search capabilities than traditional relational databases, with RESTful APIs and client libraries in multiple languages. Queries return matching results from petabytes of structured and unstructured data in a few milliseconds. Alibaba Cloud Elasticsearch features high availability and is easy to use, making it straightforward to build e-commerce commodity or order search systems, application search systems, and customer relationship management (CRM) systems — all integrated into your existing infrastructure. It supports complex condition-based and fuzzy searches, and handles high-performance reads and writes across texts, numbers, dates, geographic data (including IP addresses), images, audio, and video.
Reference: Use DataWorks to synchronize data from MySQL to Alibaba Cloud Elasticsearch
Data intelligence
What you get: fast aggregation-based analysis of business data — user behavior, transactions, and more — visualized in Kibana dashboards to support operational decisions.
Industries such as gaming, education, and retail generate large volumes of business data alongside system logs and metrics: user behavior events, driving trajectories, transaction records. Extracting value from this data requires in-depth statistical analysis and aggregation at scale.
Alibaba Cloud Elasticsearch supports querying structured data with complex filtering and aggregations. Analyze user behavior, attributes, and tags to accurately identify audience segments. Use Kibana to collect statistics, classify data, and build dashboards — turning raw data into actionable insights for e-commerce, mobile applications, and advertising media.