How We Reduced Cloud Costs by 40% with Automated Monitoring

Case study showing how a mid-sized SaaS company implemented Stavily plugins to monitor and optimize their AWS infrastructure, saving thousands monthly.
How We Reduced Cloud Costs by 40% with Automated Monitoring
This case study showcases how a mid-sized SaaS company, "Acme Solutions," implemented Stavily plugins to monitor and optimize their AWS infrastructure, resulting in significant cost savings. Acme Solutions, a provider of cloud-based CRM solutions, was experiencing escalating cloud costs due to inefficient resource utilization and a lack of visibility into their AWS spending. Their engineering team was spending countless hours manually analyzing cloud usage data and identifying cost optimization opportunities.
The Challenge:
Acme Solutions faced several challenges in managing their cloud costs:
- Lack of Real-time Visibility: They lacked a centralized dashboard to monitor their AWS spending in real-time.
- Inefficient Resource Utilization: They were over-provisioning resources and failing to identify idle or underutilized instances.
- Manual Cost Analysis: Their engineering team was spending significant time manually analyzing cloud usage data.
- Limited Automation: They lacked automated workflows to optimize cloud costs.
The Solution:
Acme Solutions implemented Stavily and leveraged its plugin ecosystem to address these challenges. They deployed the following Stavily plugins:
- AWS Cost Explorer Plugin: This plugin provided real-time visibility into their AWS spending, allowing them to track costs by service, region, and instance type.
- EC2 Resource Optimizer Plugin: This plugin identified idle and underutilized EC2 instances, providing recommendations for right-sizing or terminating these instances.
- CloudWatch Monitoring Plugin: This plugin monitored key performance metrics for their EC2 instances, allowing them to identify performance bottlenecks and optimize resource allocation.
- Automated Scaling Plugin: This plugin automatically scaled their EC2 instances based on real-time demand, ensuring that they were only paying for the resources they needed.
The Results:
By implementing Stavily and its plugin ecosystem, Acme Solutions achieved the following results:
- 40% Reduction in Cloud Costs: They reduced their overall AWS spending by 40% within three months.
- Improved Resource Utilization: They identified and terminated hundreds of idle and underutilized EC2 instances.
- Reduced Manual Effort: Their engineering team saved countless hours by automating cloud cost analysis and optimization tasks.
- Enhanced Visibility: They gained real-time visibility into their AWS spending, allowing them to make informed decisions about resource allocation.
Key Takeaways:
This case study demonstrates the power of automated monitoring and optimization for reducing cloud costs. By implementing Stavily and its plugin ecosystem, SMBs can gain real-time visibility into their cloud spending, identify cost optimization opportunities, and automate cost-saving workflows. This allows them to reduce their cloud costs, improve resource utilization, and free up valuable time to focus on more strategic initiatives. Stavily empowers SMBs to take control of their cloud spending and achieve significant cost savings without the complexity and cost of traditional enterprise solutions."
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