Cut Cloud Costs With A Smarter AWS Migration Strategy
Managing legacy or inefficient cloud infrastructure often feels like running uphill with weights tied to your feet. High operational costs, limited scalability, and underperforming services slow down even the fastest-growing companies.
If your current setup:
- Costs too much to maintain
- Can’t keep up with user growth
- Limits innovation with outdated frameworks
…it’s time to consider an AWS infrastructure migration for better performance and cost efficiency.
Why Migrate to AWS Cloud
Here’s what cloud infrastructure migration to AWS can achieve for your team:
- Lower operational costs with flexible pricing and resource optimization
- Improved performance and availability using advanced AWS services
- Better security and compliance with multi-layered protection tools
- Scalability on demand with auto-scaling and load balancing
How to Migrate Infrastructure to AWS for Better Performance
Here’s a structured, field-tested approach to migrating your infrastructure to AWS:
1. Containerize Your Applications
Convert legacy applications to run on Docker containers, preferably on Linux, to:
- Increase portability
- Simplify deployments
- Reduce Windows dependency and licensing costs
2. Upgrade Frameworks for Compatibility
Rebuild applications on .NET Core (or your preferred modern framework) to:
- Ensure compatibility with container environments
- Improve application performance and resource efficiency
3. Implement Infrastructure as Code
Use Terraform to automate AWS resource provisioning. Benefits include:
- Consistency across environments
- Faster deployments with minimal manual intervention
4. Enhance Security with AWS Native Services
Integrate:
- GuardDuty for intelligent threat detection
- AWS WAF to protect against common web exploits
- CloudTrail and Security Hub for monitoring and compliance
- ACM for SSL/TLS certificate management
These ensure a strong security posture aligned with AWS best practices.
5. Optimize Performance Using AWS Services
Leverage:
- ECS with Fargate for scalable container orchestration
- RDS for MSSQL for high-performing managed databases
- ElastiCache for Redis to reduce application latency
These are core AWS performance optimization strategies.
6. Implement Cost Optimization Tools
Use:
- AWS Compute Optimizer to right-size instances
- Cost Explorer to track usage trends and identify savings opportunities
This drives effective AWS cloud cost reduction post-migration.
7. Automate CI/CD Pipelines
Integrate tools like Bitbucket Actions to:
- Automate build, test, and deployment processes
- Reduce deployment times and human error
8. Monitor and Optimize Continuously
Deploy monitoring tools like CloudWatch and New Relic to:
- Gain real-time insights into performance and usage
- Proactively resolve issues before they impact users
The Results You Can Achieve
By following this approach, companies typically see:
- 30% reduction in operational costs with optimized resources and spot instances
- 25% increase in application performance with better caching and resource allocation
- 99% uptime through multi-AZ deployments
- 40% faster deployments with CI/CD automation
- Stronger security posture with centralized logging and threat detection
- Scalability to handle future growth seamlessly
Why Choose IAMOPS for Your AWS Infrastructure Migration
Migrating from outdated or inefficient infrastructure to AWS can unlock measurable improvements in cost, performance, and scalability. IAMOPS provides end-to-end execution through its DevOps Services, helping high growth companies build reliable, automated pipelines tailored for AWS environments.
Alongside this, our dedicated FinOps Services ensure every workload is cost-optimized by monitoring cloud spend, identifying waste, and implementing actionable recommendations. This dual focus on automation and financial accountability enables teams to scale confidently while keeping cloud costs under control.
