is Now Bringing TrueWatch to Indonesia
Incident Management
A full-process lifecycle management system for "exceptions" and "issues", from automatic issue discovery, to issue logging, multi-dimensional analysis, and final archiving, providing clear guidelines for the team to deal with issues at every stage. Be it for developers, testers, or maintenance staff, it's easy to track and synchronize the progress of issues on the platform.
product features
Full Process Exception Lifecycle Management
TrueWatch provides a full-process lifecycle management system for "exceptions" and "issues", from automatic issue discovery, to issue logging, multi-dimensional analysis, and final archiving, providing clear guidelines for the team to deal with issues at every stage.
Be it for developers, testers, or maintenance staff, it's easy to track and synchronize the progress of issues on the platform.
Custom Exception Levels and Automation Strategies
Define anomaly levels and trigger conditions flexibly with Level Definition and Strategy functions, and implement automated alerts or handling strategies.
High-priority faults can be sent to the core team in real time, while minor issues can be deferred for later action, combining ‘real-time’ and ‘detail’ management to ensure the continued stability of business-critical operations.
Multi-source Channel Integration and Exception Integration Analysis
In the Channel module, data on anomalies from multiple sources (including logs, monitoring metrics, external services, etc.) is consolidated and presented on the Issue panel.
Through cross-source integration and dimensional analyses, teams can more accurately identify the main causes and reduce the information asymmetry and management difficulties caused by switching between multiple tools.
Visual Trend Insights and Exception Calendar
Truewatch's Calendar feature distributes exceptions and issues over time and presents them visually, allowing teams to see at a glance the trends or concentration of anomalies over a specified period of time.
Combined with the problem board and multi-dimensional filtering function, users can quickly go back to historical data and compare the performance of different stages of anomalies. These provide a data basis for improving maintenance strategies or optimizing application architecture in the future.
