Case Studies & Production Architectures
Explore 12 real-world cloud migrations, Kubernetes platforms, disaster recovery automations, and FinOps cost-reduction initiatives delivered with zero data loss.
12
Production Studies
99.99%
Uptime SLA
70-80%
AWS Cost Cut
0%
Data Loss
Visabridge.ai
AWS RDS Migration & High-Availability Multi-AZ Architecture
Cross-account database migration with strict uptime requirements, multi-AZ VPC architecture, ALB, and zero data loss.
The Challenge
The client needed a cross-account AWS database migration without losing data or risking extended service downtime for active users.
The Solution
Engineered snapshot replication with automated low-risk cutover protocols, combined with a multi-AZ VPC, Application Load Balancers, and CloudWatch alarms.
Quantifiable Impact Metrics
0%
Data Loss
99.99%
Cloud Uptime
Multi-AZ
Fault Tolerance
Low
Cutover Risk
Verified Deliverables
- Zero data loss achieved throughout migration
- 99.99% cloud uptime maintained post-cutover
- Multi-AZ automated failover with sub-minute recovery
- Centralized observability with real-time alerting
DSP22 Platform
Multi-Environment GKE Architecture & GitLab CI/CD
Multi-cluster Kubernetes platform across Standard and Autopilot GKE with shared Ingress and ClickHouse Cloud integration.
The Challenge
Managing distinct dev and production releases on Kubernetes without duplicate networking overhead or manual cluster steps.
The Solution
Provisioned dual GKE clusters (Standard for dev, Autopilot for production), unified under NGINX Ingress with a shared global IP, GitLab Kubernetes Agent, and Helm.
Quantifiable Impact Metrics
2 (Dev+Prod)
GKE Clusters
Single Global IP
Ingress Setup
GitLab Agent
CI/CD Pipeline
GitOps / Helm
Release Type
Verified Deliverables
- Automated, repeatable releases across dev and production
- Zero-downtime rolling deployments and instant rollbacks
- Unified ingress footprint with single global IP
- ClickHouse Cloud high-throughput analytical query backend
AWS Cost Optimization
Architecture Modernization & 70-80% Monthly Spend Reduction
Restructured legacy compute and storage architecture, slashing monthly AWS expenditure from $500+ down to $80-120.
The Challenge
A growing startup was suffering from ballooning AWS bills due to idle EC2 instances, inefficient PostgreSQL tiers, and unnecessary support plans.
The Solution
Migrated stateless frontends to AWS Amplify, moved containerized APIs to AWS App Runner, upgraded PostgreSQL with zero downtime, and trimmed logging retention.
Quantifiable Impact Metrics
70-80%
Cost Reduction
$80-120
Monthly Spend
0 min
Downtime
Serverless
Compute Model
Verified Deliverables
- 70-80% sustained monthly cost reduction
- Reduced monthly infrastructure bill from $500+ to $80-120
- Zero application downtime during modernization
- Enhanced auto-scaling efficiency during peak traffic
VRA.Geohorizons
Hardened AWS Infrastructure & Gated GitHub Actions CI/CD
Automated release cycles with secure GitHub Actions pipelines, hardened EC2 workloads, and strict IAM guardrails.
The Challenge
Slow, error-prone manual releases combined with unsegmented network configurations that raised compliance concerns.
The Solution
Built hardened AWS infrastructure with automated GitHub Actions pipelines, approval gates, segmented VPCs, and least-privilege IAM policies.
Quantifiable Impact Metrics
10x Faster
Deploy Speed
-70%
Build Time
Least Privilege
IAM Model
Automated
Release Gates
Verified Deliverables
- 10x faster deployment cycle with automated builds
- 70% reduction in build and test execution time
- Repeatable release pipeline with mandatory approval gates
- Zero compliance findings during security review
MetaGeo
Event-Driven Large File Processing on S3 & ECS Offload
Refactored serverless Lambda to extract metadata only and offload 15GB+ geospatial datasets to asynchronous ECS tasks via SQS.
The Challenge
Serverless Lambda functions were failing with timeout and memory errors when processing massive 15GB+ geospatial datasets.
The Solution
Redesigned architecture into an event-driven model where Lambda extracts lightweight metadata, computes requirements, and queues work via SQS to ECS worker tasks.
Quantifiable Impact Metrics
15GB+
File Capacity
<1 sec
Lambda Runtime
ECS Fargate
Worker Architecture
Amazon SQS
Queue Engine
Verified Deliverables
- Lambda execution reduced from minutes to sub-second responses
- Flawless processing for files exceeding 15GB
- Elastic task autoscaling based on queue depth
- Zero dropped or timed-out processing requests
SkilledScore.com
Highly Available App Runner & CloudFront CDN Layer
Multi-tier web architecture on AWS App Runner with optimized CloudFront CDN caching, Route53 DNS, and managed RDS.
The Challenge
Performance degradation and database connection bottlenecks during sudden traffic spikes from global users.
The Solution
Migrated web services to AWS App Runner, configured CloudFront edge caching for static assets, and optimized RDS connection pools.
Quantifiable Impact Metrics
-60%
Response Time
95%
Edge Hit Rate
10x Spike
Peak Capacity
200+ PoPs
Global Edge
Verified Deliverables
- 60% reduction in global API response times
- 95% cache hit ratio on CloudFront edge locations
- Resilient auto-scaling handling 10x traffic bursts
- Automated SSL/TLS certificate management
Gufhtugu.com
High-Availability AWS Deployment & Auto-Scaling Fleet
Fault-tolerant AWS stack with automated scaling and load balancing for content-heavy production workloads.
The Challenge
Traffic surges during content releases caused server saturation and degraded performance.
The Solution
Designed and deployed an auto-scaling EC2 fleet fronted by Application Load Balancers with managed S3 storage and CloudWatch alerts.
Quantifiable Impact Metrics
99.9%
Uptime
Dynamic
Auto-Scaling
Verified
Traffic Resilience
24/7
Monitoring
Verified Deliverables
- Consistent 99.9% uptime during viral traffic spikes
- Automated instance scaling based on CPU and request count
- Zero manual server intervention needed during campaigns
- Comprehensive CloudWatch dashboard and alarm triggers
AlignoGraphy
GeoServer Security Incident Response & Server Hardening
Emergency incident response for compromised GeoServer instance, one-week threat surveillance, and hardened EC2 migration.
The Challenge
A public GeoServer instance was compromised due to exposed unhardened ports, threatening data integrity.
The Solution
Contained the active threat, established continuous packet monitoring for one week, and migrated services to a newly hardened EC2 instance behind NGINX reverse proxy with HTTPS enforcement.
Quantifiable Impact Metrics
0%
Data Loss
7 Days Post-Fix
Monitoring
Eradicated
Incident State
Hardened
Security Level
Verified Deliverables
- Restored production operations with zero data loss
- Full threat eradication confirmed after surveillance window
- Enforced HTTPS/SSL encryption across all endpoints
- Hardened OS with restrictive firewall and access rules
Ice Client
Proxmox Disaster Recovery Automation with NetBox & S3
Automated Proxmox DR provisioning with Terraform modules, GitLab CI/CD, NetBox IPAM integration, and 50+ VM S3 backups.
The Challenge
Manual disaster recovery processes and decentralized IP/server records created substantial downtime risks.
The Solution
Developed Terraform modules for automated DR with state managed in GitLab, integrated NetBox as single source of truth, and configured S3 automated backups for 50+ VMs.
Quantifiable Impact Metrics
50+
VMs Protected
Automated IaC
DR Provisioning
NetBox IPAM
Source of Truth
AWS S3
Backup Target
Verified Deliverables
- Automated DR provisioning reducing recovery time from days to minutes
- Automated offsite backup orchestration for 50+ virtual machines
- NetBox integrated as live single source of truth for inventory
- Audited infrastructure state stored safely in GitLab backend
AWS Bedrock IAM Hardening
Least-Privilege Access Control for Foundation Models
Custom IAM policies and guardrails restricting foundation model invocations to authorized users and groups only.
The Challenge
Unrestricted developer access to high-cost generative AI models created cost exposure and security compliance risks.
The Solution
Designed and deployed role-based IAM policies with strict resource-level conditions, restricting model invocations to verified groups and tracking usage via CloudTrail.
Quantifiable Impact Metrics
Least Privilege
Access Policy
Group & Role
Scope
Enforced
Cost Guardrails
CloudTrail
Auditing
Verified Deliverables
- Secured AI model usage with strictly enforceable boundaries
- Eliminated unauthorized model invocation and cost overruns
- Role-based group access aligned with company compliance
- Full invocation logging and access auditing in place
WordPress Migration
Zero-Downtime AWS to Alibaba Cloud Infrastructure Migration
Migrated production WordPress environment from AWS to Alibaba Cloud ECS with zero SEO impact and zero data loss.
The Challenge
High latency in target markets and high cloud hosting costs required an infrastructure migration to Alibaba Cloud.
The Solution
Structured full database replication, automated rsync file transfers, provisioned Alibaba ECS with NGINX, and executed DNS cutover with zero downtime.
Quantifiable Impact Metrics
0%
Data Loss
100% Preserved
SEO Ranking
0 min
Cutover Downtime
45%
Hosting Savings
Verified Deliverables
- Zero data loss and zero downtime during cutover
- 45% reduction in ongoing monthly hosting infrastructure costs
- Preserved complete SEO URL structure and search rankings
- Faster page load times in key Asia-Pacific regions
SaaS Platform Infrastructure
Automated Multi-Tenant Architecture on App Runner & Cognito
Engineered multi-tenant onboarding, custom subdomain automation, and multi-stage Docker CI/CD on AWS App Runner.
The Challenge
Manual tenant provisioning was slowing user onboarding and creating operational bottlenecks.
The Solution
Architected automated tenant provisioning with AWS Cognito authentication, API Gateway, Lambda onboarding triggers, and App Runner containerized microservices.
Quantifiable Impact Metrics
100% Automated
Provisioning
Cognito + VPC
Tenant Isolation
Multi-Stage
CI/CD Pipeline
Serverless
Deployment Model
Verified Deliverables
- 100% automated tenant creation and custom subdomain routing
- Multi-stage Docker builds with ECR vulnerability scanning
- Instant automated deployment on Git merge via GitHub Actions
- Enterprise-grade multi-tenant auth and data isolation