Optimize your AWS infrastructure by matching instance types and sizes to actual workload requirements. Stop overpaying for unused capacity and reduce your cloud costs by 20-40% with expert right-sizing strategies.

Many organizations run AWS instances that are significantly over-provisioned for their actual workload demands. This results in paying for compute capacity that goes unused, directly impacting your cloud budget. Right-sizing ensures your infrastructure matches your real-world requirements.
Optimize your compute costs while maintaining or improving application performance
Reduce monthly AWS bills by 20-40% by matching instance types precisely to actual workload demands and eliminating over-provisioning.
Optimize instance selection for specific workload types, often improving performance while reducing costs through better resource allocation.
Gain complete insight into CPU, memory, network, and storage utilization patterns across your infrastructure.
Establish ongoing monitoring processes to ensure instance sizes adapt to changing workload demands over time.
Understand Your Current Resource Usage
We analyze CPU, memory, network I/O, and storage metrics from CloudWatch to understand actual usage patterns. This data-driven approach reveals which instances are over-provisioned and by how much.
Select the Perfect Match for Your Workloads
AWS offers numerous instance types optimized for different use cases. We recommend the most cost-effective instance types that meet your performance requirements, including newer generation options with better price-to-performance ratios.
Execute with Minimal Disruption
We implement right-sizing changes strategically to minimize or eliminate downtime. For production environments, we use rolling updates and Auto Scaling groups. We then establish continuous monitoring to ensure ongoing optimization.
AWS offers diverse instance types optimized for different workload characteristics and use cases
Balanced compute, memory, and networking for web servers, small databases, and development environments. Great starting point for most workloads.
High-performance processors for batch processing, scientific simulations, and CPU-intensive applications. Best price-to-performance for compute-heavy workloads.
High memory capacity for in-memory databases, caches, and real-time analytics. Ideal for workloads requiring low-latency data access.
High I/O performance for NoSQL databases, data warehousing, and Elasticsearch. Provides optimized storage throughput.
GPU, FPGA, and inference accelerators for machine learning, GPU rendering, and specialized applications. Premium pricing for specialized workloads.
Cost-effective for variable workloads with periods of high and low utilization. Earn CPU credits during low-usage periods and burst when needed.
Inventory all EC2 instances with their types, sizes, configurations, launch dates, and current CloudWatch utilization metrics.
Collect 30-90 days of CPU, memory, network, and storage metrics. Identify peak, average, and minimum usage patterns.
Classify instances into categories: optimized, underutilized, or significantly over-sized. Calculate potential savings.
Propose right-sized instances that meet performance requirements while minimizing costs. Compare with current spending.
Develop implementation plan considering dependencies, Auto Scaling groups, load balancers, and minimal downtime approaches.
Implement changes in phases starting with non-production. Verify performance and cost improvements before full rollout.
Track performance metrics post-migration. Confirm cost savings match projections. Address any performance issues.
Schedule quarterly reviews to reassess sizing as workloads change. Update thresholds based on business needs.
Organizations typically see measurable results within the first month of implementation
through optimized sizing
for optimization initiatives
into resource utilization
with proper planning
Let our cloud experts analyze your infrastructure and identify right-sizing opportunities. We'll create a customized optimization plan with projected savings specific to your environment.