What is the monitoring and logging of distributed computing like?

Monitoring and logging in distributed computing involve tracking the performance, health, and activities of multiple nodes or components spread across different locations or systems. This is crucial for maintaining efficiency, troubleshooting issues, and ensuring data integrity in complex environments.

Monitoring typically includes:

• System Metrics: Tracking CPU usage, memory consumption, disk space, and network traffic for each node.
• Application Performance: Monitoring response times, error rates, and throughput of applications running on the distributed system.
• Resource Utilization: Ensuring that resources are being used efficiently across the cluster.

Logging involves:

• Event Logs: Recording events such as system errors, warnings, and informational messages.
• Access Logs: Tracking user activities, access requests, and authentication events.
• Trace Logs: Providing detailed records of transactions or requests as they flow through the system.

Example: In a cloud-based e-commerce platform, monitoring might track the number of requests handled by each server, while logging would record details about customer transactions, including any errors encountered during the process.

For effective monitoring and logging in distributed computing, cloud services like Tencent Cloud offer comprehensive solutions. Tencent Cloud's Cloud Monitor provides real-time monitoring and alerting for various metrics, while its Log Service (CLS) offers centralized log collection, storage, analysis, and search capabilities. These services help in maintaining the performance and reliability of distributed systems by providing insights into system behavior and facilitating quick issue resolution.