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Real Time Monitoring
Continuously tracks application performance metrics like CPU, memory, and network usage to detect issues promptly.
Transaction Tracing
Provides detailed traces of transactions to identify performance bottlenecks and optimize application flow.
SQL Query Monitoring
Captures and analyzes SQL queries to detect slow or inefficient database operations affecting performance.
Memory Leak Detection
Identifies memory bloat and leaks by monitoring object allocations and garbage collection behavior.
Real-Time alerts
Sends notifications for performance anomalies, enabling proactive issue resolution before user impact.
Custom Dashboards
Allows users to create personalized dashboards displaying key performance indicators and metrics.
Distributed Tracing
Tracks requests across multiple services, providing end-to-end visibility into transaction paths.
Service Dependency Mapping
Visualizes dependencies between services to understand interactions and potential points of failure.
Historical Data Analysis
Offers insights into past performance trends, aiding in capacity planning and identifying recurring issues.
Host Monitoring
Monitors underlying infrastructure components like servers and containers for comprehensive observability.
API Monitoring
Tracks API performance and usage, helping to ensure reliability and responsiveness of endpoints.
Anomaly Detection
Employs statistical models to detect deviations from normal behavior, highlighting potential issues.
Integrations
Supports integration with tools like Slack and GitHub for streamlined workflows and notifications.
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