Introduction
Optimizing the AWS environment is an essential task for companies aiming to reduce costs, improve efficiency, and maximize the value of their cloud resources. However, identifying underutilized resources, inefficient configurations, or unnecessary expenses can be a challenge.
In this article, we present three case studies of companies that successfully optimized their AWS environment with the help of Cloud-Trim, achieving significant savings and improving their infrastructure management.
Case Studies: Companies Optimizing with Cloud-Trim
Case 1: Tech Startup – Reducing Idle Resources
Before:
A growing tech startup discovered that 20% of its AWS resources, including EC2 instances active during the night and unassociated EBS volumes, were not being utilized. This inefficiency resulted in recurring expenses and strained its operational budget.
How Cloud-Trim Helped:
- Automated scanning to detect idle resources.
- Recommendations to stop instances outside business hours and remove unnecessary volumes.
- Alert configuration to prevent future waste.
Results:
The startup achieved a 25% reduction in its monthly costs by optimizing its AWS environment, ensuring that only necessary resources were used.
Case 2: Healthcare Company – Optimizing Payment Options
Before:
The company relied on On-Demand instances for all its RDS databases, which led to unnecessary expenses. Despite having predictable usage patterns, the company had not considered cost-saving options such as Reserved Instances or Savings Plans.
How Cloud-Trim Helped:
- Detailed analysis of resource usage patterns.
- Recommendations to switch to Savings Plans and Reserved Instances.
- Cost-saving simulations projecting a 35% reduction in total costs.
Results:
By adjusting its payment options, the company saved 35% on monthly costs, optimizing its AWS environment to better align with its real needs.
Case 3: Renewable Energy Company – Resource Consolidation
Before:
This renewable energy company managed 15 EC2 instances for various projects. However, many of these were underutilized and maintained unassociated elastic IP addresses, leading to inefficient resource usage.
How Cloud-Trim Helped:
- Identification of underutilized instances through real-time reports.
- Suggestions to consolidate workloads into fewer, more efficient instances.
- Automation of processes to stop resources during inactive periods.
Results:
The company reduced its resources from 15 to 8 instances, achieving a 27% reduction in monthly costs while optimizing its AWS environment sustainably.
Conclusion
Optimizing the AWS environment not only reduces costs but also improves operational efficiency and frees up resources to invest in other key areas of the business. These case studies demonstrate how Cloud-Trim can be a strategic ally to achieve significant cost savings and improve resource management.
Do you want to experience these results in your company? With Cloud-Trim, optimization and savings are within your reach. Start today and transform how you manage your AWS environment!