building a web-based dashboard for go profiling, real-time monitoring and analysis of CPU usage, Heap / Memory, Threads, Mutexes, Goroutines and Blocks across multiple applications or services.
Run migrations to postgres
goose -dir ./migrations postgres "your_connection_string" up
Rollback Migration
goose -dir ./migrations postgres "your_connection_string" down
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Define Data Collection Agent:
- Create a lightweight agent that can be integrated into different applications to collect CPU usage data.
- The agent sends data to your central server at specified intervals.
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Set Up Central Server:
- Develop a server application to receive, process, and store data sent by agents.
- Implement authentication to ensure data security.
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Design Database Schema:
- Design a schema to efficiently store and query CPU usage data, timestamps, application identifiers, etc.
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Implement Data Processing Logic:
- Develop logic to aggregate and analyze data from multiple sources.
- Implement features like real-time monitoring, historical analysis, and alerting based on predefined thresholds.
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Develop Web Dashboard:
- Create a web-based interface where users can view real-time data, historical charts, and analytics.
- Implement user authentication and authorization for data access control.
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Testing and Deployment:
- Thoroughly test the entire system for performance and security.
- Deploy the server and web dashboard, and distribute the data collection agent.
- Data Collection Agent
- Central Server
- Web Dashboard