Enterprise Blueprints, Production-Proven
Every architecture we publish has been deployed in production. Browse our reference designs across cloud migration, AI/ML, data platforms, security, and FinOps — then talk to our architects about adapting them to your environment.
Five Pillars We Engineer To
Every SkySync architecture is evaluated against five non-negotiable pillars before it leaves the drawing board.
Security by default
Zero-trust networking, least-privilege IAM, and encryption at rest and in transit are baseline requirements — never afterthoughts.
Elastic scalability
Architectures are designed to scale horizontally from day one, with auto-scaling policies validated under 10× peak load.
Observable by design
Full-stack observability — metrics, logs, traces, and alerts — is wired in from the start, not bolted on after incidents.
Cost-aware engineering
FinOps tagging, rightsizing guardrails, and reserved-instance strategies are embedded in every architecture from the first sprint.
Resilience & recovery
Multi-AZ deployments, automated failover, and RTO/RPO targets are defined and tested before go-live — not after the first outage.
Browse by Domain
Cloud Migration
Lift-and-Shift with Modernisation
Rehost legacy workloads to EC2/RDS with automated rightsizing, then incrementally refactor to containers and managed services over 6–12 months.
Key components
Use cases
- Legacy ERP migration
- On-premises data centre exit
- Disaster recovery modernisation
Strangler Fig Microservices Migration
Incrementally replace monolith modules with Azure-native microservices using traffic shadowing and feature flags, achieving zero-downtime cutover.
Key components
Use cases
- Core banking modernisation
- Monolith decomposition
- Zero-downtime migration
Multi-Cloud Landing Zone
Establish a governed multi-cloud foundation across AWS and Azure with unified identity, networking, cost allocation, and security posture management.
Key components
Use cases
- Vendor diversification
- Regulatory data residency
- M&A cloud integration
AI & ML Platforms
Real-Time ML Inference Platform
Event-driven ML serving architecture with sub-100ms p99 latency, A/B testing, model versioning, and automated drift detection.
Key components
Use cases
- Fraud detection
- Personalisation engines
- Real-time pricing
Enterprise GenAI Platform
Secure RAG-based GenAI platform with private model deployment, document ingestion pipelines, RBAC, and full audit logging for regulated industries.
Key components
Use cases
- Internal knowledge assistants
- Document intelligence
- Customer service automation
MLOps Pipeline on GCP
End-to-end MLOps pipeline with automated training, evaluation, deployment, and monitoring — from raw data to production model in a single Vertex AI workflow.
Key components
Use cases
- Batch prediction pipelines
- Continuous training
- Model governance
Data Platforms
Unified Data Lakehouse
Replace siloed warehouses with a Delta Lake-based lakehouse supporting batch, streaming, and ML workloads from a single governed data layer.
Key components
Use cases
- Regulatory reporting
- 360° customer view
- Self-serve analytics
Real-Time Streaming Analytics
Sub-second event processing pipeline for IoT, clickstream, and transactional data with exactly-once semantics and live dashboards.
Key components
Use cases
- IoT telemetry
- Fraud monitoring
- Operational dashboards
Security & Compliance
Zero Trust Network Architecture
Eliminate implicit trust with micro-segmentation, identity-aware proxies, continuous device posture checks, and encrypted east-west traffic.
Key components
Use cases
- Remote workforce security
- Third-party access
- Regulated workloads
Cloud Security Posture Management
Continuous compliance monitoring across AWS and Azure with automated remediation, drift detection, and audit-ready reporting for RBI, HIPAA, and ISO 27001.
Key components
Use cases
- RBI/SEBI compliance
- HIPAA workloads
- ISO 27001 certification
From Blueprint to Production in Four Steps
Architecture Discovery
2-week deep-dive into your current state: workloads, data flows, security posture, and cost profile. Output: a prioritised architecture roadmap.
Blueprint Customisation
We adapt the reference architecture to your constraints — compliance requirements, existing investments, team capabilities, and budget envelope.
Proof of Value
Deploy the architecture in a sandboxed environment within 2 weeks. Validate performance, security, and cost assumptions before full commitment.
Production Rollout
Phased production deployment with embedded SkySync engineers, automated rollback triggers, and 24/7 war-room support through go-live.
Need a Custom Architecture Review?
Our principal architects will review your current environment and recommend the right blueprint — at no cost for qualified engagements.