Deploying and Scaling Logstash
elk+redis已是目前很多中小型公司比較青睞的開源日誌蒐集組合之一，主要是因爲安裝配置簡單，社區活躍、開源免費等等. 隨着公司業務的變多，日誌量追漸增大，單節點的elk+redis已經滿足不了業務的需求，這時候擴容或許是一件非常普遍的行爲，那麼如何做到自動擴容和"縮容"呢？ 先來看一張簡化版的擴譜圖 在看完這張簡化版的擴譜圖之後，我們首先要明白elasticsearch cluster是如何做
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- 8. AWS Elastic Load Balancing, Amazon CloudWatch and Auto Scaling
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相關文章
- 1. Deploying and Scaling Logstash
- 2. TCP Windows and Window Scaling
- 3. Feature Scaling: Normalization and Standardization
- 4. Building,Packaging,Deploying,and Administering Applications and Types
- 5. Building，Packaging，Deploying，and Administering Applications and Types
- 6. Dennard scaling(MOSEFT scaling)
- 7. Example: Deploying WordPress and MySQL with Persistent Volumes
- 8. AWS Elastic Load Balancing, Amazon CloudWatch and Auto Scaling
- 9. Dark Silicon and the End of Multicore Scaling
- 10. Best Practices for Creating and Deploying HTTP Live Streaming Media for the iPhone and iPad