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AiLog Big Data Log Management and Analysis Platform(AiLog)

With AiLog, you can construct a high - performance log processing system that provides comprehensive functions including log collection, log parsing, data storage, log query, and log analysis.

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Overview

AiLog Big Data Log Management and Analysis Platform(AiLog)

The AiLog Big Data Log Management and Analysis Platform(AiLog)is a next-generation log analysis and security event management system built on a big data architecture. It can collect logs and data from various devices, including logs, performance metrics, security alerts, business data, and user behavior data. After aggregating, standardizing, and filtering these data, AiLog offers functions such as log query, analysis, dashboard setup, report generation etc.

Benefits
  • Flexible and Cost - effective

    Features a multi - tenant architecture for efficient, secure, and cost - effective solutions for organizations of all sizes. Each tenant can customize configurations. It also provides detailed data permission control and cloud - native deployments, reducing deployment and maintenance costs.

  • Powerful Log Management and Analysis Capabilities

    AiLog can collect logs from over 250 brands and 5000+ device models, covering a wide range of network, security, host, application, and database devices. It parses logs from different sources and formats with over 200 rules (customizable) and offers real - time search, analysis, dashboard definition, reports, and ad - hoc queries.

  • High - Performance and Scalable

    It can process over 1 million logs per second and supports elastic scaling. In high - volume log scenarios (millions of EPS), it addresses high - performance processing. It also supports various deployment modes like cluster deployment for scalability and high availability.

  • Enhanced Security and Threat Detection

    Integrates global threat data sources for real - time intelligence support. Uses machine learning for deep log analysis to identify potential threats and abnormal behaviors. Built - in security analysis scenarios help detect device anomalies, exploitations, and lateral penetration.

Features
Use Cases
  • Security Monitoring

    AiLog gathers logs from network devices, security tools, and endpoints. If an IP shows multiple failed logins and abnormal traffic, AiLog's correlation analysis spots it as a security risk. Its in - built threat intelligence offers real - time data on malicious IPs and attack patterns. This enables security teams to swiftly block suspicious IPs.

  • Operations Management

    AiLog aids data center managers in efficient operations. It monitors system metrics such as CPU, memory, and disk I/O of all data center devices. In large - scale clusters, it groups servers for simpler monitoring. This helps quickly identify and fix performance problems, reducing downtime.

  • Multi - Tenant

    Cloud environment with a multi - tenant architecture benefit greatly from AiLog. The platform's multi - tenant structure ensures full data isolation and privacy protection. Tenants can create their own dashboards, set alert rules, and generate reports.

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