How Can Companies Cut Costs on AWS Data Processing?

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How Can Companies Cut Costs on AWS Data
Processing?
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Right-Sizing Resources for Cost Efficiency

• Right-size your EC2 instances based on actual
  usage, not assumptions.
• AWS Compute Optimizer helps identify
  underutilized instances.
• Auto Scaling Adjust resources based on real-time
  demand.

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Leveraging Reserved Instances and Savings Plans

• Reserved Instances (RIs) Save up to 75 with
  long-term commitments.
• Savings Plans Flexible savings across multiple
  services, ideal for variable workloads.

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Spot Instances for Non-Time-Sensitive Workloads

• Save up to 90 using Spot Instances for batch
  processing or data analysis.
• Ideal for non-critical, flexible workloads.

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Optimize Data Storage and Processing

• Use S3 Lifecycle Policies to move infrequently
  accessed data to cheaper storage classes (e.g.,
  S3 Glacier).
• Compress data and use columnar formats like
  Parquet to reduce storage and processing costs.

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Partner with HashStudioz for Expert AWS Cost
Optimization

• HashStudioz specializes in cutting-edge AWS cost
  optimization strategies.
• We help you identify inefficiencies and implement
  tailored solutions to reduce AWS data processing
  costs.

www.hashstudioz.com
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91-97185 17228 1 [phone]
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