

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# Resources
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 請參閱下列資源，進一步了解成本最佳化的最佳實務：

 **相關文件：**
+  [如何在 Amazon VPC 中降低 NAT 閘道的資料傳輸費用？](https://aws.amazon.com/premiumsupport/knowledge-center/vpc-reduce-nat-gateway-transfer-costs/) 
+  [Amazon GameLift FleetIQ 轉接器 Agones 簡介](https://aws.amazon.com/blogs/gametech/introducing-the-gamelift-fleetiq-adapter-for-agones/) 
+  [如何在 Amazon VPC 中找到 NAT 閘道流量的主要參與者？](https://aws.amazon.com/premiumsupport/knowledge-center/vpc-find-traffic-sources-nat-gateway/) 
+  [為您的全域遊戲伺服器選擇正確的運算策略](https://aws.amazon.com/blogs/gametech/choose-the-right-compute-strategy-for-your-global-game-servers/) 
+  [AWS Well-Architected 實驗室 – 符合成本效益的資源](https://wellarchitectedlabs.com/cost/costeffectiveresources/) 
+  [Amazon VPC CNI 外掛程式會增加每個節點的 Pod 限制](https://aws.amazon.com/blogs/containers/amazon-vpc-cni-increases-pods-per-node-limits/) 
+  [成本最佳化的架構最佳實務](https://aws.amazon.com/architecture/cost-optimization/?cards-all.sort-by=item.additionalFields.sortDate&cards-all.sort-order=desc&awsf.content-type=%2Aall&awsf.methodology=%2Aall) 
+  [使用 Amazon SageMaker AI RL 和 Amazon EKS 減少玩家等待時間和正確調整運算配置大小](https://aws.amazon.com/blogs/machine-learning/reducing-player-wait-time-and-right-sizing-compute-allocation-using-amazon-sagemaker-rl-and-amazon-eks/) 
+  [AWS Compute Optimizer](https://aws.amazon.com/compute-optimizer/) 
+  [Electronic Arts 使用 Amazon S3 Intelligent-Tiering 和 Amazon Glacier 最佳化儲存成本和操作](https://aws.amazon.com/blogs/storage/electronic-arts-significantly-optimizes-storage-costs-and-operational-overhead-using-amazon-s3-and-s3-glacier/) 
+  [將 Windows 工作負載遷移至 Linux，避免不友善的授權實務](https://aws.amazon.com/blogs/publicsector/escape-unfriendly-licensing-practices-by-switching-enterprise-workloads-to-linux/) 
+  [常見架構的資料傳輸成本概觀](https://aws.amazon.com/blogs/architecture/overview-of-data-transfer-costs-for-common-architectures/) 
+  [AWS 和 Kubecost 協同合作，為 EKS 客戶提供成本監控](https://aws.amazon.com/blogs/containers/aws-and-kubecost-collaborate-to-deliver-cost-monitoring-for-eks-customers/) 
+  [奠定基礎：設定您的環境進行成本最佳化](https://docs.aws.amazon.com/pdfs/whitepapers/latest/cost-optimization-laying-the-foundation/cost-optimization-laying-the-foundation.pdf) 
+  [Amazon EC2 Spot 執行個體概觀](https://docs.aws.amazon.com/pdfs/whitepapers/latest/cost-optimization-leveraging-ec2-spot-instances/cost-optimization-leveraging-ec2-spot-instances.pdf#cost-optimization-leveraging-ec2-spot-instances) 