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Optimized for: Gemini / ChatGPT / Claude
#AWS

Implementing Fargate Spot Capacity Providers for Cost Optimization

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Required Variables

aws-fargate-spot-capacity-provider-strategy.txt
Act as a FinOps Cloud Engineer. Design a hyper-optimized capacity provider strategy for an Amazon ECS Cluster named [CLUSTER_NAME] engineered to ruthlessly slash compute billing. Construct a strictly weighted deployment split: dictate a `base` of exactly [BASE_ON_DEMAND_COUNT] tasks permanently locked to Fargate On-Demand to guarantee absolute minimum SLA availability. For all subsequent scaling out, define a ratio utilizing a [SPOT_WEIGHT] (FARGATE_SPOT) to [ON_DEMAND_WEIGHT] (FARGATE) distribution. Because Spot instances are volatile, write the exact AWS EventBridge rule and Node.js Lambda logic required to intercept the 2-minute 'Fargate Spot Termination Notice', allowing stateless microservices to execute graceful SIGTERM shutdowns and drain active connections before being physically killed.

Example Text Output

"The solution outlines a hybrid capacity provider strategy that reduces compute costs by up to 70% while maintaining high availability through weighted distribution."

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The solution outlines a hybrid capacity provider strategy that reduces compute costs by up to 70% while maintaining high availability through weighted distribution.

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