LogEase AIOps Platform

PRODUCT INTRODUCTION

Based on its powerful intelligent log data center, proprietary data search engine Beaver, and flexible and multi-dimensional SPL analysis language, LogEase has built a "knowledge + data + algorithm + computing power" intelligence operation and maintenance platform— LogEase AIOps which is based on data, supported by the platform, and oriented by scenarios.

LogEase AIOps uses big data, machine learning algorithms and so on to implement functions such as intelligent anomaly detection, alarm merging, decision analysis and knowledge base; it also achieves three types of anomaly detection scenarios : single KPI, log pattern anomaly detection, and health anomaly detection within service models based on multiple KPI indicators.

LogEase AIOps adopts a "service-monitoring item-device" system to be as compatible with different levels of scenario requirements as possible. In actual scenarios, users can flexibly use service dependencies to implement their own customized business operation and maintenance analysis models.

FUNCTIONAL MODULES

Anomaly Detection

Dynamic Baselines

Fault Prediction

Bottleneck Analysis

Alarm Aggregation

Root Cause Analysis

Team Cooperation

Knowledge Precipitation

Solutions Recommendation

Service Health Model

Anomaly Detection

Dynamic Baselines

Fault Prediction

Bottleneck Analysis

Alarm Aggregation

Root Cause Analysis

Team Cooperation

Knowledge Precipitation

Solutions Recommendation

Service Health Model

Anomaly Detection is designed to identify deviations from normal system behavior, signaling potential issues or irregularities. By analyzing patterns and trends, it enhances the system's ability to detect unusual activities, ensuring early recognition of potential problems.

Dynamic Baselines establish a real-time reference for normal system performance. They adapt to changes in the environment, providing a dynamic benchmark. This module aids in recognizing shifts in the system's behavior, facilitating proactive adjustments to maintain optimal performance.

Fault Prediction anticipates potential system failures by analyzing historical data and identifying patterns that precede faults. This predictive capability enables preemptive actions to mitigate or prevent issues before they impact the system's reliability.

Bottleneck Analysis identifies and evaluates points in the system where performance is constrained or compromised. This module helps optimize resource allocation, improving overall efficiency and preventing bottlenecks that may impact user experience.

Alarm Aggregation consolidates and organizes multiple alarms and notifications into a unified view. By reducing noise and redundancy, this module enhances the efficiency of incident management, allowing teams to focus on critical issues.

Root Cause Analysis investigates and identifies the underlying reasons for system issues or incidents. By tracing problems to their origin, this module enables effective problem resolution, preventing recurring issues and improving system stability.

LogEase AIOps also function as a collaboration platform, notifying the right teams and individuals, providing them with relevant information, and facilitating effective collaboration. This module enhances the efficiency of collaborative efforts, ensuring effective problem-solving and decision-making within the team.

Knowledge Precipitation facilitates the extraction and organization of valuable insights from data. This module transforms raw information into actionable knowledge, empowering decision-makers with meaningful data-driven insights.

Solutions Recommendation analyzes historical data and system behavior to suggest effective solutions for identified issues. By providing actionable recommendations, this module assists in faster problem resolution and continuous system improvement.

The Service Health Model assesses and visualizes the overall health and performance of the system. By monitoring key metrics and indicators, this module provides a comprehensive view, enabling informed decision-making and ensuring the system's optimal functioning.

PRODUCT FEATURES

Comprehensive Intelligent Operations

The product integrates modules such as anomaly detection, bottleneck analysis, fault prediction, and knowledge precipitation to achieve comprehensive intelligent operations, enhancing the system's level of automation and intelligence.

Real-time Metric Monitoring

Utilizing real-time streaming data for monitoring, coupled with historical data correction, it enables proactive learning, identification, and discovery of anomalies. It provides service monitoring status to help users quickly understand various performance metrics of the system.

Automated Root Cause Analysis

Leveraging proprietary algorithms, it achieves feature analysis of link problems and node detection, generating a fault root cause analysis graph. Through comprehensive deduction, it identifies fault root cause nodes, improving the efficiency and accuracy of business fault localization.

Proactive Fault Prevention

The fault prediction and solutions recommendation modules collaborate by diagnosing services based on correlated metrics, matching self-healing plans, and executing autonomous healing operations. This approach aims to prevent faults or reduce their impact, ensuring the normal operation of business systems.

Comprehensive Intelligent Operations

BENEFITS

Faster mean time to resolution (MTTR)

The platform offers a decision tree analysis model to assist users in achieving intelligent analysis and problem diagnosis. Users can automatically identify the dimension combinations that have the greatest impact on bottlenecks in multi-dimensional reports. This enables quick troubleshooting and reduces MTTR (Mean Time To Repair).

Predictive Analytics

Platform takes the large collection of data to build predictive models that proactively address those issues that can have a negative impact on your business. AIOps empowers you with predictive analytics capabilities which helps you to forecast potential future events that might affect the performance, availability, and problems. Also, Predictive analytics helps you with capacity planning, ensuring that the IT estate is used in the best optimized manner.

Accelerating digital transformation

LogEase AIOps brings multiple benefits to digital transformation, including automated operations, real-time fault detection, data-driven decision-making, predictive analysis, resource optimization, reduced manual intervention, cross-team collaboration, and agile adaptation to changes.

Expanded collaboration

Available integrations within LogEase AIOps monitoring tools facilitate more effective cross-team collaboration across DevOps, ITOps, governance and security functions. Better visibility, communication, and transparency allows these teams to improve decision-making and respond to issues more quickly.