System logs serve as the digital footprints of the IT world, meticulously recording every action taken by systems and devices, revealing who did what and when. Log Management is a comprehensive strategy that integrates, collects, standardizes, analyzes, and preserves all log data within an organization.
Amidst the digital transformation, enterprise systems are gradually transitioning from monolithic to microservices architecture. With multiple services operating independently, a vast amount of log data accompanies this shift, making it more challenging to identify and address issues.
In light of this, achieving real-time monitoring and swift issue identification emerges as the cornerstone for enterprises aiming to enhance service performance. Implementing a Centralized Log Management Platform, fortified with advanced features such as visual network topology correlation, end-to-end status monitoring, and event alerts for intricate conditions, enables prompt issue detection, streamlined log analysis, and seamless compliance with audit and regulatory requirements.
Troubleshooting is much more difficult with the development of modern distributed systems and microservices architectures. digiLogs harnesses the power of Distributed Tracing to revolutionize issue resolution efficiency. Coupled with Root Cause Analysis, it empowers businesses to pinpoint and swiftly resolve issues, resulting in a remarkable reduction in repair time and a substantial enhancement in overall operational efficiency.
Collect system-wide logs in real time, uninterruptedly to ensure that each record is accurately retained.
Capture the key performance metrics of the system hosts for easy visibility into system status.
Log and monitor API calls, rigorously safeguarding sensitive data throughout the collection process to effectively prevent unauthorized access.
The digiLogs Centralized Log Management Platform supports indiscriminate collection of over 55 system data formats. It provides parsing logic, log data extraction and retention, along with diverse query mechanisms—full-text search, keyword search, and tracing correlation search. Coupled with visual reports and digital dashboards, the platform not only ensures the integrity of enterprise logs but also enhances IT operational efficiency, ensuring uninterrupted business operations.
Integrate and support various devices and system logs, normalize and reduce data volume
Optimize data management settings for better operational efficiency
Ensure access control based on roles and job levels
Provide flexible & various statistical analysis reports
Support 10,000+ EPS with hybrid alerts
Visualize real-time status of active & passive monitoring systems
Throughout the process of log collection and transmission, we employ SSL/mTLS, RSA encryption techniques, and private key decryption verification mechanisms to achieve Non-repudiation of Origin and ensure the Integrity of Information. This not only equips the system with scalability and high availability but also guarantees disaster recovery capability in anomalous circumstances. As a result, the platform significantly enhances information security, aiding enterprises in successfully passing ISO 27001 audits.
We assist enterprises in facing diverse system log challenges, from pre-system assessment to post-project optimization. We are committed to supporting our customers with excellence and expertise at every stage.
Holistic Data Aggregation for Organizational Systems
Insights and Interpretations Unveiled by Expert Team
Log Data Optimization and Extraction
One-Stop Centralized Monitoring and Management
Targets Precisely Achieved
digiLogs assists Bank A 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 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.
The client’s banking system generates massive amounts of log 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.