Client Success Stories

Client Background

FinServe Solutions is a leading fintech company providing payment gateway solutions to over 5,000 merchants across India. With rapid growth, their on-premise infrastructure became a bottleneck, and cloud costs were spiraling out of control at $5.7M annually.

Challenge

• Unpredictable Cloud Spending: Monthly AWS bills fluctuating between $380K-$520K with no visibility into cost drivers
• Over-Provisioned Resources: EC2 instances running at 15-25% average utilization
• Lack of FinOps Expertise: No dedicated team to monitor and optimize cloud expenses
• Compliance Requirements: PCI-DSS and RBI guidelines requiring specific security configurations
• Performance Concerns: Feared cost optimization would impact transaction processing speed

Solution

NeoAavya deployed our Aavya-Optima platform with a custom FinOps strategy:

• AI-Driven Resource Rightsizing: Machine learning models analyzed 6 months of usage patterns to recommend optimal instance types
• Reserved Instance Strategy: Purchased 3-year RIs for predictable workloads (payment processing core)
• Spot Instance Integration: Migrated batch jobs and analytics workloads to EC2 Spot Instances (70% cost savings)
• Auto-Scaling Policies: Implemented intelligent scaling based on transaction volume patterns
• Carbon-Aware Scheduling: Shifted non-critical workloads to low-carbon AWS regions during off-peak hours
• Real-Time Cost Alerts: Slack/Email notifications when spending exceeds $15K/day threshold

Results & Impact

• 42% Cost Reduction: Annual cloud spend decreased from $5.7M to $3.3M
• Performance Improvement: API response times improved by 18% (average 120ms → 98ms)
• Carbon Footprint: 28% reduction in cloud carbon emissions through region optimization
• Team Efficiency: DevOps team freed from manual cost monitoring (saved 120 hours/month)
• Scalability: Successfully handled 3x Black Friday traffic spike without cost overruns

Technologies Used

Client Background

CloudTech Inc. operates a B2B SaaS platform serving 500,000+ users across 40 countries. Their GCP infrastructure was reliable but becoming cost-prohibitive as they scaled, with vendor lock-in concerns limiting flexibility.

Challenge

• Zero Downtime Requirement: Enterprise SLAs demanded 99.99% uptime during migration
• Data Sovereignty: GDPR compliance required EU data to remain in EU regions
• Complex Microservices: 47 interdependent services with varying dependencies
• Real-Time Processing: Streaming data pipelines processing 2TB/day couldn't be interrupted
• Team Resistance: Engineering team unfamiliar with AWS ecosystem

Solution

• Strangler Fig Pattern: Gradual migration using API gateway to route traffic between GCP and AWS
• Data Replication Strategy: Bi-directional sync using Apache Kafka and AWS DMS
• Containerization: Refactored services into Docker containers for portability
• Infrastructure as Code: Rebuilt entire infrastructure using Terraform for consistency
• Comprehensive Testing: Shadow traffic testing with 10% of production load for 2 weeks
• Training Program: 3-day AWS bootcamp for 20 engineers

Results & Impact

• Zero Downtime: Achieved seamless migration with 0 minutes of service interruption
• Cost Savings: 24% reduction in infrastructure costs ($180K/month savings)
• Performance Gains: 35% faster CI/CD pipelines using AWS CodePipeline
• Scalability: Auto-scaling now handles 5x traffic spikes without manual intervention
• Team Velocity: Deployment frequency increased from 2x/week to 15x/week

Technologies Used

Client Background

TechCorp Solutions, a 25-year-old enterprise software provider, was struggling with outdated infrastructure and manual deployment processes. Their monolithic .NET application was becoming a competitive liability.

Challenge

• Legacy Monolith: 15-year-old codebase with 500K+ lines of tightly coupled code
• Manual Deployments: Releases taking 8-12 hours with frequent rollbacks
• High Incident Rate: Average 12 production incidents per month
• Slow Time-to-Market: 6-month release cycles limiting competitive advantage
• Skills Gap: Team trained only in legacy technologies (VB6, ASP.NET Web Forms)

Solution

• Microservices Migration: Decomposed monolith into 23 independent services
• CI/CD Implementation: Jenkins pipelines with automated testing and deployment
• Cloud-Native Refactoring: Migrated from on-premise to Azure Kubernetes Service
• Observability Stack: Implemented ELK stack + Prometheus + Grafana
• Team Upskilling: 6-month training program on .NET Core, Docker, Kubernetes
• Agile Transformation: Shifted from Waterfall to 2-week sprint cycles

Results & Impact

• 10x Deployment Speed: Releases now take 45 minutes vs. 8-12 hours
• 85% Fewer Incidents: Monthly incidents reduced from 12 to 1.8 on average
• Cost Reduction: £1.2M annual savings from datacenter decommissioning
• Developer Productivity: Feature delivery accelerated by 300%
• Customer Satisfaction: NPS score increased from 32 to 67

Technologies Used