AWS Cloud Spend optmization Guide


The right type of instances is a must, starting with small and doing horizontal scaling is a better strategy

As Technology leaders are trying to assess their spending on cloud infrastructure, a simple yet effective way to Maximizing Cost Efficiency in AWS

A Practical Guide:

Cloud computing has transformed IT infrastructure, but AWS spending can spiral quickly without an optimization strategy. The key to efficient cloud spending is leveraging AWS’s built-in cost optimization services. Here’s how organizations can manage cloud expenses while maintaining performance and scalability

1. Leverage AWS Cost Optimization Tools

  • AWS Cost Explorer and AWS Budgets – Examine usage trends, establish spending limits, and monitor projected costs.
  • AWS Trusted Advisor – Identifies underutilized resources and offers recommendations for optimization.

2. Optimize Compute Costs

  • Auto Scaling & Load Balancers – Automatically scale resources up or down based on real-time demand, avoiding over-provisioning.
  • Spot Instances – Save up to 90% on EC2 costs by using spare AWS capacity for non-critical workloads.
  • Reserved Instances (RI) & Savings Plans – Commit to 1- or 3-year plans for up to 72% cost savings on steady-state workloads.
  • Graviton Instances – Lower costs while improving performance with AWS’s energy-efficient Arm-based processors.
  • AWS Saving plans - https://aws.amazon.com/savingsplans/ . Flexible pricing model with commitment-based savings across EC2, Fargate & Lambda.

3. Reduce Storage Costs

  • S3 Intelligent-Tiering – Automatically moves infrequently accessed data to lower-cost storage, reducing costs by up to 40%.
  • Glacier & Glacier Deep Archive – Store archival data at a fraction of the cost of standard S3 storage.
  • EBS Volume Optimization – Use GP3 instead of GP2 to get better performance at a lower price.

?4. Go Serverless for Cost-Effective Workloads

  • AWS Lambda & Fargate – Pay only for execution time instead of provisioning always-on servers. Ideal for event-driven applications.
  • API Gateway & DynamoDB On-Demand – Cost-effective options for infrequent workloads.

5. Optimize Data Transfer & Networking Costs

  • Use AWS PrivateLink & Direct Connect – Reduce inter-region data transfer fees.
  • Enable VPC Endpoints – Avoid unnecessary traffic through NAT Gateways and reduce egress costs.
  • Compress & Cache Data – Use CloudFront CDN to cache frequently accessed content and lower bandwidth costs.

6. Monitor & Automate Cost Savings ?

  • AWS Compute Optimizer – Recommends rightsizing EC2 instances based on usage patterns.
  • AWS Instance Scheduler – Automatically stops non-essential instances during off-hours to cut unnecessary expenses.
  • AWS Systems Manager – Automates infrastructure management tasks, reducing operational overhead.

Key to consider: ?AWS offers powerful cost optimization services, but they must be actively used to prevent unnecessary spending. A well-architected AWS strategy, the right size of infrastructure and service usage ensure maximum efficiency without sacrificing performance.

#AWS #CloudOptimization #CostSavings #IT strategy

Venkat Mangira

Certified SAP Success factors Lead Global HRIT& Digital Automation/EC,Time off,People Analytics/Integration/ONB2.0/UKG/People&Culture Transformation(US B1/B2 Visa Holder)

2 天前

Nice Informative article Sir on AWS Cloud in terms of usage and scalability. When it comes to ERP Context SAP BTP and AWS both offer powerful middleware solutions for ERP system integration. The choice between AWS and SAP BTP depends on factors such as SAP ecosystem reliance, existing cloud investments, and integration requirements. While AWS provides broad cloud capabilities, SAP BTP is optimized for SAP environments, ensuring deeper ERP integration.

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