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Raven Scott 2024-09-16 08:13:56 -04:00
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### Problem Statement
When youre dealing with numerous Minecraft servers, querying real-time server data can become very expensive in terms of performance. Each query requires:
When youre dealing with numerous Minecraft servers, querying real-time server data can become very expensive in terms of performance.
Each query requires:
- Accessing container information via Docker.
- Checking server online status via network requests.
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## The Caching Mechanism
The system employs a caching layer that stores various pieces of server information (MOTD, online status, etc.) in memory. This avoids repeated heavy I/O and network operations, thus drastically reducing the request time.
The system employs a caching layer that stores various pieces of server information (MOTD, online status, etc.) in memory.
This avoids repeated heavy I/O and network operations, thus drastically reducing the request time.
### Key Components of the Cache
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## Findings
By introducing an in-memory caching system, this application was able to reduce request times from over 2 minutes to just 2 milliseconds. This system efficiently caches key server data, eliminating the need to repeatedly query external services like Docker, network services, and file systems.
By introducing an in-memory caching system, this application was able to reduce request times from over 2 minutes to just 2 milliseconds.
This system efficiently caches key server data, eliminating the need to repeatedly query external services like Docker, network services, and file systems.
This approach is especially useful in applications with high I/O overhead and network latency, allowing for faster and more responsive interactions.