digiLogs

What are logs?


Logs are records of who did what and when they did it - all activities in an application can be recorded as log data. There are logs in operating systems, software framework and programs existed to help us understand what happened in IT environment. From front-end website access logs, AP system logs, to back-end server logs, event logs, and audit logs, all aspects are connected to form digital traces.
digiLogs
digiLogs
digiLogs

The role of corporate operation


Based on system stability, data security, and personal data protection factors, keeping various log records is crucial to the continuation of business operations. After each set of information system or equipment goes online, the key to maintenance is whether there is enough information to determine any system abnormalities and find out the correlation between events. IT departments need to be notified to deal with issues right away and analyze past digital trace data to effectively prevent future errors and achieve uninterrupted business safety.

Why does every organization need to set log management strategies?


Log management covers five major work prioritie: integration, real-time, regularization, centralization and analysis. Modern information systems and network environments are becoming increasingly complex, and IT maintenance heavily relies on log data generated by these systems. Effectively managing these massive amounts of logs is not a simple matter. Log data is often scattered among different equipment or application systems, and data formats are not uniform, making effective integration difficult. Not only is it impossible to improve real-time alarm mechanisms of planning systems, but it is also difficult to protect sensitive enterprise information. Ineffective log control can lead to a security crisis of corporate information.
In log management, there are 5 major tasks
Integration
Integration
Real-time
Real-time
Formalization
Formalization
Centralization
Centralization
Analysis
Analysis
Complete log managemen should allow log collection from multiple sources (AP log, syslog, DB log, server log) and provide real-time data collection. Log analysis and aggregation should also be performed, so that collectors can use unified rules to discover abnormalities and analyze situations. Centralized log management can handle massive amounts of log data. With effective platform tools, it can also help achieve multi-angle log analysis, data retrieval, and cross-queries, enabling first-line IT personnel to quickly find and analyze information. With authorization control and sensitive data protection, efficient and safe log management brings uninterrupted services to improve corporate operations.
Log management should not only be completely stored, but also efficiently utilized
digiLogs:One-Stop Log Management Platform

digiLogs provides one-stop log integration and management. The log server comes with powerful search and retrieval functions as well as system forecasts and alarms, so companies no longer have to search for trivial log messages one by one. digiLogs integrates multiple system data operation records, supports various data source formats, and helps IT personnel quickly and accurately identify system problem sources, all while providing graphic log analysis reports so managers can have a clear understanding at a glance. The comprehensive system monitoring and warning mechanism of digiLogs helps ensure uninterrupted business operation safety.
Enable effective IT maintenance and uninterrupted corporate operations

6 main functions
to organize and monitor massive log data, worry-free!

Login integration
Login integration
Login integration

Integrate enterprise AD, LDAP, OAuth and SSO systems to reduce usage barriers.
Authority control
Authority control
Authority control

Meet the needs of enterprise authority management and ensure varying levels of authorization.
Log retrieval
Log retrieval
Log retrieval

Dynamic field queries, full-text queries, and context-related queries make log management easier than ever.
Monitoring alarms
 Monitoring alarms
Monitoring alarms

Monitor operating status of system and logs and enable immediate notifications when abnormalities occur.
Transaction logs
Transaction logs
Transaction logs

Understand paths and average transaction time of logs in each system, transaction, and server.
Analysis reports
Analysis reports
Analysis reports

All kinds of log data statistical analyses clearly show log statuses.
Why choose digiLogs?
Why choose digiLogs?
Data integration
Data integration
No more scattered files that are impossible to manage centrally. digiLogs helps users identify problems at all levels by providing a centralized management platform which collects complete information, including netcom equipment, operating systems, HTTP servers, databases, and supporting formats such as syslogs, error logs, event logs, JDBC, and more.
Data security protection
Data security protection
Through role management, platform user authority is controlled to avoid sharing data with irrelevant users. AuditLog also records user operation details to prevent data leakage. During log queries, sensitive data is completely shielded to protect personal information.
Association queries
Association queries
Path queries, complex condition queries, multi-angle log analysis, data retrieval, and cross-system queries with case number index, and more. Concatenate all front and back-end logs to produce a complete transaction process analysis and make the transaction route clear at a glance.
Instant alerts
Instant alerts
Server Node and keyword-abnormal warnings can be combined with real-time Line groups to exceed the warning threshold and continue running for a period of time. The system alarm minimum can be set to once per second.
Dynamic queries
Dynamic queries
Dynamically select data sources and filterable fields, flexibly search for related transaction information, and find logs related to keywords.
Operational efficiency
Operational efficiency
With digiLogs, various enterprise system and platform logs can be integrated and easily managed. When system abnormalities occur, the average processing time is reduced from 4-6 hours to 20-30 minutes, an increase of 600% in operational efficiency.
Not only convenient, but also effective in improving IT maintenance efficiency.

Application Framework

All system logs are collected and stored at once

App
App
Web
Web
Browser
Browser
Web Server
Web Server
Firewall
Firewall
App Server
App Server
Database
Database
Database
Database
Database
Database
From font-end website access logs and wireless AP system logs of firewall, router, switches to back-end server logs, the logs from all required aspects are collected and aggregated.

Professional consultants assist in planning strategies for corporate log management needs

Various
System
Traces
Indexers
Real-time
Data Processing
Search Engines
Log Integrated
Monitoring Management
Users
使用者
The digiLogs management platform flexibly supports multi-system operation.
Designed a high availability (HA) architecture for the corporate and provided a horizontal expansion framework.

Flexibility and Support

Flexibility and Support

A team of professional consultants assists in planning and parsing various source formats

Collect information
from various systems
Analysis by
professional consultants
Process the
collected data log
One-platform
integrated overview

digiLogs provides a team of professional consultants to assist organizations in the complete planning of log management strategies.

digiLogs provides a team of professional consultants to assist organizations in the complete planning of log management strategies. The platform enables multi-device log integration at a glance: it supports MongoDB and Windows server databases and OS. It can process more than 40 common log formats, including Syslog, Error log, Event log, Server Log, and JDBC, all while meeting 100% of IT structure requirements. Effectively improve operational efficiency and provides uninterrupted services with digiLogs.
  • AIX Log
  • github
  • oracle data (JDBC)
  • sqs
  • couchdb_changes
  • heartbeat
  • pipe
  • stomp
  • DB2 data (JDBC)
  • heroku
  • puppet_facter
  • syslog
  • drupal_dblog
  • irc
  • relp
  • tcp
  • elasticsearch
  • jmx
  • rss
  • unix
  • exec
  • kafka
  • rackspace
  • udp
  • eventlog
  • log4j
  • rabbitmq
  • varnishlog
  • file
  • lumberjack
  • redis
  • wmi
  • ganglia
  • Meetup
  • snmptrap
  • websocket
  • gelf
  • MongoDB
  • stdin
  • xmpp
  • generator
  • mssql data (JDBC)
  • sqlite
  • zenoss
  • graphite
  • mysql data (JDBC)
  • s3
  • zeromq

Success Stories

Financial industry

Financial industry

Transaction time monitoring / Track path analysis

digiLogs assists bank collecting system data, and then integrating, analyzing and redefining the data and presenting it on a single platform. It is divided into different levels of authority, and through the transaction path map, identify the problem promptly when a problem occurs in the system. It synchronizedly and automatically sends the alerts to IT personnel to speed up the search for the problem and repair it.
Cathay Life Insurance

Cathay Life Insurance

Authority management / Log centralized management

Cathay Life Insurance needs to access 6TB of log data per month. Through the fast horizontal expansion framework (parsing) of digiLogs, it can integrate multiple system data with operational records, further integrate, analyze, and import it into the same platform to easily manage a large number of daily increased data.
Shin Kong Bank

Shin Kong Bank

Data system upgrade / All-day traffic monitoring

The Shin Kong Banking system generates massive amounts of data up to 50GB (about 1.5TB/month). The old system has limited maintenance capabilities and is difficult to cope with the increasingly complex management requirements. After implementing digiLogs, with its single-interface cross-platform log query, traffic monitoring, visual report statistics, and real-time alarms, the management efficiency improved drastically.
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