Trimming the AWS Fat: How Cognetivity Achieved a 60% Reduction in Their Cloud Infra Costs

This is some text inside of a div block.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Connect with Us

We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.

Case Study

Trimming the AWS Fat: How Cognetivity Achieved a 60% Reduction in Their Cloud Infra Costs

Solutions Deployed:

Unused Resource Identification & Removal
SQS Utilization Review & Optimization
AWS Config & CloudTrail Settings Modification

Vertical:

Healthtech

Cognetivity faced inflated AWS costs due to active but underutilized environments and unnecessary services. By streamlining and removing unused resources, disabling unnecessary SQS utilization, and adjusting AWS settings, we achieved a 60% monthly cost reduction. Specific service costs, such as RDS, AWS Config, EC2, and SQS, were reduced by 18.75%, 33.33%, 25%, and 98.75% respectively.

60%

Overall AWS Cost Decrease

71.30%

Cost Decrease in CGN-Sandbox Account

At Cognetivity, we are committed to advancing brain health through innovative technologies, which require robust and scalable cloud solutions. Partnering with Ideas2IT has been transformative for our operations, particularly in optimizing our AWS infrastructure. Their expert team not only helped us achieve a significant reduction in our cloud expenses but also ensured that the optimization did not compromise performance or security. The Ideas2IT team’s [...] proactive communication and commitment to excellence made the process seamless. We are grateful for their contributions and are pleased to recommend Ideas2IT for their outstanding service.

Seyed Khaligh-Razavi, Chief Innovation Officer

Enter your email to
access the full case study

Case Study

Trimming the AWS Fat: How Cognetivity Achieved a 60% Reduction in Their Cloud Infra Costs

Solutions Deployed:

Unused Resource Identification & Removal
SQS Utilization Review & Optimization
AWS Config & CloudTrail Settings Modification

Vertical:

Healthtech

Cognetivity faced inflated AWS costs due to active but underutilized environments and unnecessary services. By streamlining and removing unused resources, disabling unnecessary SQS utilization, and adjusting AWS settings, we achieved a 60% monthly cost reduction. Specific service costs, such as RDS, AWS Config, EC2, and SQS, were reduced by 18.75%, 33.33%, 25%, and 98.75% respectively.

60%

Overall AWS Cost Decrease

71.30%

Cost Decrease in CGN-Sandbox Account

Seyed Khaligh-Razavi, Chief Innovation Officer

Enter your email to
access the full case study

Connect with Us

We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.

From Cloud Waste to Cost Wins: A Case Study in AWS Infrastructure Optimization

One-liner summary:

Ideas2IT helped a healthtech innovator slash AWS infrastructure costs by 60% through a targeted audit, resource pruning, and smart configuration updates—without compromising security, compliance, or performance

The Problem with the Status Quo

Faced with growing AWS costs and underutilized environments, the client turned to Ideas2IT to conduct a deep infrastructure audit. We identified unused services, removed redundant resources, optimized SQS, and streamlined AWS Config, CloudTrail, and CloudWatch settings. The outcome?

60% overall AWS cost reduction
71.3% drop in sandbox account spend
18–99% cost reductions across key services including EC2, RDS, SQS, and AWS Config

Where the Gaps Were

The client’s AWS usage had grown organically, spanning POCs, experiments, and product workloads. But as they scaled, so did inefficiencies:

Sandbox remnants from prior testing phases
Non-production workloads running full-scale infrastructure
Verbose monitoring setups logging every metric, everywhere

This ungoverned sprawl led to spiraling cloud bills and operational blind spots.

What We Delivered

Cataloged AWS infrastructure across dev, staging, and production environments
Grouped services by cost categories: compute, storage, messaging, logging, and monitoring
Identified zombie resources, unused accounts, and redundant configurations
Terminated idle compute assets, including EC2s, SageMaker notebooks, NAT gateways, and Elastic IPs
Decommissioned unused storage, including EBS volumes and RDS instances
Eliminated unnecessary SQS queues, cutting queue costs by 98.75%
Reduced CloudWatch and CloudTrail overhead, disabling irrelevant log groups and metrics
Tuned AWS Config, replacing all-region rule logging with targeted rule sets
Shut down cost leakage in non-production accounts

Outcomes We Achieved

Service	Avg. Cost Reduction
SQS	98.75%
AWS Config	33.33%
EC2 & Deps	25%
RDS	18.75%

60% overall monthly AWS cost savings
71.3% drop in sandbox account cost
Predicted ROI exceeded initial 50% target by 10%
No impact on uptime, HIPAA alignment, or ML workloads

Key Takeaways

Unused = Cost: Even dormant sandboxes can drain thousands per month
Logs Can Be Leaks: CloudTrail, Config, and CloudWatch defaults can silently inflate bills
Less Is Secure: Pruning resources reduces both costs and attack surface
‍Audit ≠ Overhead: A 2-week audit can unlock month-over-month cost savings