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Large-capacity
log data analysis solution

BLAS is a large-scale data analysis system that enables rule-based real-time monitoring
and anomaly detection for data collected in large quantities of several hundred GB to several TB,
and provides ultra-high-speed search and correlation analysis between each data.

#Abnormal sign detection

#Real-time monitoring

#Index file management technology

Big data analysis

Data monitoring at a glance

Fast and reliable data retrieval function

Distributed cluster coordination technology

0.036 seconds

introduction

The fastest data retrieval system

Large-scale data distributed collection technology

Scalability for real-time processing and distributed environments

Large-scale data distributed indexing technology

Indexing and real-time search/replication in a dual-distributed environment

Large-scale data analysis technology

Statistical processing of large amounts of distributed, structured/unstructured data, and various analytical processing based on the R engine.

Real-time monitoring technology for large-capacity logs

Rule-based real-time monitoring and event detection

merit

Reliable data management and
high-speed processing

It takes about 10 seconds to query 11 billion logs.

Source Data

Large-capacity data between heterogeneous systems
Real-time log data processing
Logs in various formats, including server, network, and security logs
Transaction logs, access logs, and other business logs; M2M logs, such as manufacturing logs and sensing logs;

Collection/Monitoring

Agent-Collector Structure for Mass Data Collection
Simultaneous collection of various log data
Add/expand collection log fields
Real-time occurrence log collection
Collecting logs through batch processing
Rule-based real-time monitoring function

save

Distributed indexing file storage
Real-time creation of index files
High availability through replication

Search/Analysis

Reduced time with parallel I/O processing
Maintaining search services despite indexing failures
Support for dynamic changes to the analysis schema
Automated Services (Step-by-Step Inference)
Differentiated search UI by user/task

Management/Reporting

BLAS System Resource Monitoring
Various time series statistical charts
R Engine Analysis Tool
Reporting and documentation support

structure

Expected effect

Provides fast analysis and search capabilities
for large amounts of data.

Reduced large-scale search/analysis time

High-speed search of large-capacity logs ranging from several hundred GB to several TB (approximately 10 seconds when searching 11 billion logs)
Prompt submission of audit data upon request from external organizations (Financial Supervisory Service/Financial Services Commission, etc.)

Correlation analysis of various logs

Easy analysis of each log, including transaction logs, access logs, and user logs
Establishing a new business foundation through complex search/analysis across systems (logs)
Immediate response to requests from each department
Application in M2M fields such as sensing data

Anomaly detection and security incident response

Controlled response to malware and specific attacks
Provides dynamic addition and mixed search with existing log fields when adding log fields to operating equipment.
Responding to rapidly changing business needs

Add/extend non-standard logs

Provides additional log configuration when adding new equipment
Provides dynamic addition and mixed search with existing log fields when adding log fields to operating equipment.
Responding to rapidly changing business needs

Large-capacitylog data analysis solution

The fastest data retrieval system

Reliable data management and high-speed processing

Provides fast analysis and search capabilities for large amounts of data.

Related Link

Large-capacity
log data analysis solution

Reliable data management and
high-speed processing

Provides fast analysis and search capabilities
for large amounts of data.