Case Study by TechVraksh
Client Overview
A growing SaaS company offering a real-time collaboration platform was facing rising cloud expenses and inconsistent performance during high-traffic periods. With a user base scaling rapidly across regions, their AWS infrastructure needed to be optimized for cost control, auto-scalability, and reliability.
Challenges
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Monthly cloud spend had exceeded projected budgets by 40%
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Compute resources were either overprovisioned or underutilized
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No centralized logging and monitoring to identify resource wastage
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Performance latency in regions outside the primary server zone
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Manual deployment workflows causing delays and inconsistencies
TechVraksh’s Solution
We conducted a comprehensive cloud audit across the client’s AWS stack, identifying pain points in compute, storage, networking, and deployment pipelines.
🔧 Key Initiatives:
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Right-Sizing EC2 Instances – Based on CPU/memory metrics, we switched from general-purpose to compute-optimized instances.
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Auto Scaling Groups – Configured ASGs with target tracking policies to scale resources based on real-time load.
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S3 Storage Optimization – Implemented lifecycle policies to archive old data to Glacier.
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CloudFront & CDN Integration – Reduced latency by distributing static assets closer to end users.
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Serverless for Low-Traffic Microservices – Shifted select microservices to AWS Lambda, reducing idle compute costs.
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CI/CD Pipeline Setup with GitHub Actions & CodeDeploy – Achieved faster, more reliable deployments.
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CloudWatch Dashboards + Alerts – Enabled real-time monitoring with budget alerts and performance tracking.
Impact Delivered
✅ 35% reduction in monthly cloud spend
✅ Performance improvement of up to 60% in response times
✅ Increased uptime & reliability during high-demand periods
✅ Automated deployments reduced manual errors by 80%
Conclusion
TechVraksh helped the client not only reduce costs but also build a future-proof infrastructure optimized for performance, resilience, and scalability — empowering them to serve millions with confidence.
