Log Service is a cloud-native observability and analytics platform designed to deliver large-scale, low-cost, and real-time services for processing diverse data types, including logs, metrics, and traces. With Zain Cloud’s superior performance compared to general-purpose offerings from leading public cloud vendors, Log Service enables comprehensive data collection, transformation, querying, analysis, visualization, shipping, and consumption. It empowers users to configure alert rules, enhancing digital capabilities in R&D, O&M, and data security.
Collect data from over 50 types of sources, including Alibaba Cloud services, servers, applications, IoT devices, mobile terminals, and open-source software.
Supports data transfer over standard protocols.
Implements hot and cold-tiered storage to reduce long-term storage costs without compromising data-related operations.
Offers 200+ built-in functions, 400+ regular expressions, and customizable functions for filtering, splitting, converting, enriching, and replicating data.
Real-time querying and analysis of petabytes of data, supporting 10+ operators, 10+ machine learning functions, 100+ SQL functions, Scheduled SQL, and Dedicated SQL features.
Visualize query and analysis results with 10+ chart types, customizable dashboards, embedded analysis, and drill-down analysis.
Integrated alerting with monitoring, management, and notification systems suitable for DevOps, ITOps, AIOps, SecOps, and BizOps scenarios.
Consume data in real-time using Storm, Flume, or Flink.
Real-time data shipping to Object Storage Service (OSS), MaxCompute, or Time Series Database (TSDB).
Inherits Log Service features with automated and centralized log collection from cloud services across Alibaba Cloud accounts in real-time.
Enables auditing of collected logs with data storage, query, and aggregation capabilities.
Collect data from multiple sources in a unified manner.
AIOps capabilities for intelligent exception detection and root cause analysis.
Real-time processing of hundreds of billions of logs for efficient data collection, querying, and analysis.
Comprehensive end-to-end data processing, including collection, transformation, querying, analysis, visualization, and alert configuration.
Auto-scaling capabilities to handle petabytes of data.
The pay-as-you-go billing method reduces TCO by over 50%, ensuring cost-effectiveness.