Design a metric system that handles requests from 100k Computers and show there metrics.

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Design a metric system to handle requests from 100k Computers and display their metrics.

Use a distributed system architecture to handle the large number of requests efficiently.
Implement load balancing to evenly distribute requests among servers.
Utilize monitoring tools like Prometheus or Grafana to track and display metrics such as CPU usage, memory usage, network traffic, and response times.
Consider implementing caching mechanisms to reduce the load on the system.
Ensure scalability and fault tolerance to handle potential failures or spikes in traffic.
Example: Use Kubernetes for container orchestration to manage the system and scale resources as needed.

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