Real-time Usage Monitoring
Wooffer's Real-time Usage Monitoring services offer organizations the ability to gain immediate insights into crucial performance metrics, ensuring a proactive approach to system optimization. By providing real-time data on various aspects such as RAM, storage, speed, and frequency, Wooffer empowers users to make informed decisions and enhance overall system efficiency.
Process Usage
- Infrastructure Details
Gain thorough insights into the infrastructure details of the current process, including CPU hardware specifics, core details, and frequency. - Real-time CPU & Memory Usage
Monitor the current CPU and memory usage in real-time, allowing for prompt identification of any performance bottlenecks or resource constraints. Wooffer ensures that you have a clear understanding of the system's load to make informed decisions. - Real-time API Usage
Track the real-time usage of APIs within the selected process. This feature is invaluable for assessing the impact of API calls on system resources, allowing for proactive optimization and efficient resource allocation. - Core Wise Usage
Drill down into usage patterns at the core level, providing granular insights into how each core contributes to the overall performance of the selected process.
CPU Usage
- Infrastructure Details
Obtain detailed information about the CPU hardware, CPU core specifications, frequency, latency, and more. - Real-time CPU & Memory Usage
Monitor CPU and memory usage in real-time, enabling organizations to identify and address potential performance issues promptly. Wooffer ensures that you have up-to-the-minute insights into your system's processing capabilities. - Real-time API Usage
Track the real-time usage of APIs on the CPU, providing a comprehensive overview of the impact of API calls on CPU resources. This feature aids in optimizing API-related processes for enhanced performance. - Core Wise Usage
Analyse usage patterns at the core level, allowing for a detailed understanding of how each core contributes to overall CPU performance. This information is crucial for optimizing CPU resources based on workload distribution.