AWS Cost Optimization Best Practices: Cost Optimization for Our Client’s AWS Infrastructure

Posted on : 10 Dec, 06:00 AM

AWS Cost Optimization Best Practices

Our client, a biotech research company, was incurring high monthly costs on AWS due to a complex and over-engineered cloud infrastructure for their needs.

 

Although our primary engagement with the client focused on other services, during our analysis of their infrastructure, we identified areas for significant cost savings because of our discoveries. 

 

Through a thorough cost analysis and infrastructure redesign, our team implemented AWS cost optimization best practices and were able to successfully cut our client’s monthly AWS spending by almost 60%, saving them nearly $8,000 per month. 

 

Cost Management in Cloud Computing: The Challenge

Cost Management in Cloud Computing

During the analysis phase, we discovered that our client's AWS setup included over 10 accounts, multiple virtual machines, and complex communication paths between their on-premise labs and the cloud.

 

These configurations resulted in high transactional and data transfer costs and an inefficient setup that lacked essential AWS cost optimization tools and cost management in cloud computing best practices. 

 

Key Issues: 

  • Over-provisioned virtual machines consuming minimal resources 

  • High data transfer costs due to redundant firewalls and excessive account separation 

  • Lack of lifecycle policies in S3 storage, leading to costly “hot” storage use for infrequently accessed data 

 

AWS Cost Optimization Tools: Our Approach 

AWS Cost Optimization Tools

We developed a detailed cost optimization strategy that addressed the infrastructure inefficiencies and applied AWS cost optimization best practices. Here’s a breakdown of the key actions we took: 

 

  • Comprehensive Infrastructure Analysis: We began by mapping out the client’s entire AWS environment to uncover major cost drivers, using AWS cost optimization tools to identify unnecessary resources and over-provisioned setups. This analysis highlighted inefficiencies within their networking and storage that had a high impact on overall spending.

  • Cost Analysis and Resource Optimization: We performed a detailed cost breakdown of each AWS service across all accounts. Virtual machines that were no longer needed were identified and decommissioned. Additionally, we found that some machines were over-provisioned for their usage patterns, consuming as little as 10% of their resources during peak times. We resized these machines to more cost-effective tiers, reducing compute expenses significantly.

  • S3 Storage Policy Reconfiguration: A major cost-saving opportunity was found in our client's S3 storage. Their data, including lab images, was stored in expensive hot storage tiers, even when it was not accessed for months. We implemented lifecycle policies that automatically moved old files to lower-cost cold storage after three months of inactivity. This reduced S3 storage costs by nearly 50%, optimizing over 57 terabytes of data and aligning with AWS cost optimization best practices.

  • Simplification of Network Architecture: While not the initial focus of our engagement, our analysis showed that the multi-account setup contributed to excessive internal data transfer costs. We simplified communication between AWS accounts by eliminating redundant firewalls and optimizing networking routes. This helped reduce costs while maintaining the integrity of the architecture.

  • Automated Workload Management: We introduced automated scripts to start and stop virtual machines during specific times, ensuring that machines only ran when needed. For example, machines were stopped during weekends and restarted on Monday mornings, further reducing unnecessary compute costs.

  • On-Premise Workload Migration: In collaboration with our client, we determined that some non-critical workloads could be migrated back to their on-premise infrastructure, allowing them to better utilize their existing hardware and reduce their reliance on cloud resources. 

 

AWS Cost Optimization Best Practices: The Results 

AWS Cost Optimization Results

 

Through this comprehensive approach, our client’s monthly AWS costs decreased from about $14,000 to almost $8,000—an approximate 60% reduction achieved through AWS cost optimization best practices. This success demonstrates the impact of careful cost management in cloud computing, resource efficiency, and strategic infrastructure redesign. 

 

Additionally, the changes we implemented provided long-term scalability and cost-efficiency, allowing our client to maintain high-performance lab operations while keeping cloud expenses under control. 

 

Conclusion 

 

Integrant partnered with our client to optimize their cloud infrastructure, resulting in substantial cost savings and a more streamlined, efficient environment. 

 

By thoroughly assessing their existing setup, addressing resource inefficiencies, and implementing proven cloud architecture practices, we supported our client in achieving their operational goals while significantly reducing their cloud spending. 

 

This case highlights the importance of AWS cost optimization tools and routine infrastructure assessment in maintaining cost-effective, efficient cloud environments. 

 

Do you need help with analyzing your AWS infrastructure? Contact us to start a conversation. 

AWS Cost Optimization Best Practices: Cost Optimization for Our Client’s AWS Infrastructure

Posted on : 10 Dec, 06:00 AM

AWS Cost Optimization Best Practices

Our client, a biotech research company, was incurring high monthly costs on AWS due to a complex and over-engineered cloud infrastructure for their needs.

 

Although our primary engagement with the client focused on other services, during our analysis of their infrastructure, we identified areas for significant cost savings because of our discoveries. 

 

Through a thorough cost analysis and infrastructure redesign, our team implemented AWS cost optimization best practices and were able to successfully cut our client’s monthly AWS spending by almost 60%, saving them nearly $8,000 per month. 

 

Cost Management in Cloud Computing: The Challenge

Cost Management in Cloud Computing

During the analysis phase, we discovered that our client's AWS setup included over 10 accounts, multiple virtual machines, and complex communication paths between their on-premise labs and the cloud.

 

These configurations resulted in high transactional and data transfer costs and an inefficient setup that lacked essential AWS cost optimization tools and cost management in cloud computing best practices. 

 

Key Issues: 

  • Over-provisioned virtual machines consuming minimal resources 

  • High data transfer costs due to redundant firewalls and excessive account separation 

  • Lack of lifecycle policies in S3 storage, leading to costly “hot” storage use for infrequently accessed data 

 

AWS Cost Optimization Tools: Our Approach 

AWS Cost Optimization Tools

We developed a detailed cost optimization strategy that addressed the infrastructure inefficiencies and applied AWS cost optimization best practices. Here’s a breakdown of the key actions we took: 

 

  • Comprehensive Infrastructure Analysis: We began by mapping out the client’s entire AWS environment to uncover major cost drivers, using AWS cost optimization tools to identify unnecessary resources and over-provisioned setups. This analysis highlighted inefficiencies within their networking and storage that had a high impact on overall spending.

  • Cost Analysis and Resource Optimization: We performed a detailed cost breakdown of each AWS service across all accounts. Virtual machines that were no longer needed were identified and decommissioned. Additionally, we found that some machines were over-provisioned for their usage patterns, consuming as little as 10% of their resources during peak times. We resized these machines to more cost-effective tiers, reducing compute expenses significantly.

  • S3 Storage Policy Reconfiguration: A major cost-saving opportunity was found in our client's S3 storage. Their data, including lab images, was stored in expensive hot storage tiers, even when it was not accessed for months. We implemented lifecycle policies that automatically moved old files to lower-cost cold storage after three months of inactivity. This reduced S3 storage costs by nearly 50%, optimizing over 57 terabytes of data and aligning with AWS cost optimization best practices.

  • Simplification of Network Architecture: While not the initial focus of our engagement, our analysis showed that the multi-account setup contributed to excessive internal data transfer costs. We simplified communication between AWS accounts by eliminating redundant firewalls and optimizing networking routes. This helped reduce costs while maintaining the integrity of the architecture.

  • Automated Workload Management: We introduced automated scripts to start and stop virtual machines during specific times, ensuring that machines only ran when needed. For example, machines were stopped during weekends and restarted on Monday mornings, further reducing unnecessary compute costs.

  • On-Premise Workload Migration: In collaboration with our client, we determined that some non-critical workloads could be migrated back to their on-premise infrastructure, allowing them to better utilize their existing hardware and reduce their reliance on cloud resources. 

 

AWS Cost Optimization Best Practices: The Results 

AWS Cost Optimization Results

 

Through this comprehensive approach, our client’s monthly AWS costs decreased from about $14,000 to almost $8,000—an approximate 60% reduction achieved through AWS cost optimization best practices. This success demonstrates the impact of careful cost management in cloud computing, resource efficiency, and strategic infrastructure redesign. 

 

Additionally, the changes we implemented provided long-term scalability and cost-efficiency, allowing our client to maintain high-performance lab operations while keeping cloud expenses under control. 

 

Conclusion 

 

Integrant partnered with our client to optimize their cloud infrastructure, resulting in substantial cost savings and a more streamlined, efficient environment. 

 

By thoroughly assessing their existing setup, addressing resource inefficiencies, and implementing proven cloud architecture practices, we supported our client in achieving their operational goals while significantly reducing their cloud spending. 

 

This case highlights the importance of AWS cost optimization tools and routine infrastructure assessment in maintaining cost-effective, efficient cloud environments. 

 

Do you need help with analyzing your AWS infrastructure? Contact us to start a conversation. 


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