Migration Case Study — NovoUp Technologies
Migration Use Cases
Migration Case Study — NovoUp Technologies
AWS Migration Consulting engagement for NovoUp Technologies covering application platform migration to Amazon ECS on AWS Fargate, EC2 instance-family migration, Amazon S3 storage migration, analytics platform migration to Amazon QuickSight, and AWS Control Tower landing zone provisioning.
Case Overview
Project Snapshot
AWS Migration Consulting engagement for NovoUp Technologies covering application platform migration to Amazon ECS on AWS Fargate, EC2 instance-family migration, Amazon S3 storage migration, analytics platform migration to Amazon QuickSight, and AWS Control Tower landing zone provisioning.
Understanding the Business Challenges
Every successful solution starts with understanding the problems, constraints and opportunities that shaped the project.
NovoUp Technologies operated a growing AWS estate as an India-domiciled technology company with scaling pains across the application, compute, storage, observability, security, and cost-governance layers. The application platform was hosted on non-container compute with no immutable image tagging discipline and no on-push vulnerability scanning. Amazon EC2 fleet utilization ran below optimal levels per AWS Compute Optimizer analysis, with no Compute Savings Plans coverage against steady-state workload utilization. Amazon S3 storage operated without lifecycle discipline, retaining cold data on Standard storage class rather than tiered to Standard-IA or Glacier per access-pattern reality. Cost visibility was aggregate rather than per-workload, with no cost-allocation tagging discipline, no anomaly detection, and month-end billing surprise the operating norm. Business and operational reporting was ad-hoc without a self-service business intelligence layer. Observability lacked a consolidated CloudWatch dashboard set and a formalized 8x5 monitoring framework with severity-based response SLAs. There was no consolidated AWS Control Tower landing zone with delegated administration of Security Hub, GuardDuty, Config Conformance Pack, and Inspector, and no continuous compliance evaluation against DPDPA and IT Act Section 43A reasonable-security-practices posture.
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What We Set Out To Achieve
The project was shaped around clear business goals, measurable outcomes and a practical path toward long-term growth.
A Practical Solution Built For Long-Term Success
We transformed the identified challenges into a practical, scalable and sustainable technology solution designed around real business needs.
Capspedia executed a wave-based migration program aligned to the four AWS-canonical phases: Assess, Mobilize, Migrate, and Operate. Discovery combined AWS Application Discovery Service, AWS Compute Optimizer, AWS Trusted Advisor Priority, and AWS Migration Evaluator with Capspedia’s MigMod Discovery Assistant on Amazon Bedrock to produce the workload inventory, dependency map, 7Rs strategy assignment, and phased migration roadmap. The landing zone was provisioned on AWS Control Tower with a multi-account structure covering Management, Security, Log-Archive, Production (AWS account 464425850960), Non-Production, and Sandbox accounts under dedicated Organizational Units, with SCP guardrails enforcing preventive posture across the tenancy. IAM Identity Center federated with NovoUp’s identity provider through role-per-function permission sets. Customer-managed AWS KMS CMKs per environment and per data classification tier, combined with S3 Object Lock CloudTrail archives in the Log-Archive account, delivered a DPDPA-aligned encryption and audit baseline.
How The Solution Was Structured
The solution was broken into focused components, allowing each part of the platform to work together while remaining scalable and maintainable.
Migration Wave Sequence
| wave | Migration scope |
| Wave A | Landing zone provisioning: AWS Control Tower multi-account structure; SCP guardrails; IAM Identity Center federation; customer-managed KMS CMKs; S3 Object Lock CloudTrail archives; Security Hub + GuardDuty + Inspector + Config activation with delegated administration to the Security account. |
| Wave B | Compute and storage migration prep: 3-year Compute Savings Plans commitment against steady-state EC2 forecast; owner-attestation of idle resources with default-delete authorization; Amazon S3 Storage Class Analysis per bucket; lifecycle policy staging. |
| Wave C | Container platform migration: Amazon ECS on AWS Fargate service definitions; ECR immutable image tags; Amazon Inspector image scanning on push with Critical / High CVE finding gating deployment; blue-green deployment via AWS CodeDeploy configuration. |
| Wave D | EC2 instance-family migration: right-sizing per workload against AWS Compute Optimizer recommendations with SLO validation; AWS Graviton evaluation for compatible workloads; blue-green traffic shift per workload. |
| Wave E | Analytics platform migration + cost governance activation: Amazon QuickSight dashboard deployment over agreed S3 and RDS datasets with SPICE cadence tuned per dashboard; AWS Cost Anomaly Detection + Capspedia Cost Sentinel Agent (Amazon Bedrock Agents) activation. |
Tools & Technologies Behind This Project
A carefully selected technology stack was used to build a secure, scalable and high-performing solution aligned with the project's technical and business requirements.
| Solution area | AWS services |
| Container platform migration | Amazon ECS on AWS Fargate; ECR with immutable image tags; Amazon Inspector image scanning on push; AWS CodeDeploy blue-green deployment |
| Compute migration | Amazon EC2 right-sized against AWS Compute Optimizer; 3-year Compute Savings Plans coverage; AWS Graviton evaluation per workload; blue-green traffic shift per instance-family migration |
| Storage migration | Amazon S3 Intelligent-Tiering + lifecycle policies to Standard-IA and Glacier per S3 Storage Class Analysis; S3 Storage Lens verification of transition compliance |
| Analytics migration | Amazon QuickSight over agreed S3 and RDS datasets; SPICE refresh cadence tuned per dashboard against source-load profile |
| Landing zone | AWS Control Tower multi-account structure; AWS Organizations SCP guardrails; IAM Identity Center federation; customer-managed AWS KMS CMKs; S3 Object Lock CloudTrail archives |
| Security posture | AWS Security Hub (FSBP + CIS v1.4.0); Amazon GuardDuty with all detector types; Amazon Inspector; AWS Config Conformance Pack; delegated administration to the Security account |
| Observability | Amazon CloudWatch dashboards; AWS X-Ray distributed tracing; 8x5 monitoring framework with severity-based response SLAs; 27-SOP runbook library |
How We Successfully Executed The Project
A structured implementation approach helped turn the solution design into a reliable, production-ready system while keeping delivery focused and controlled.
Why Capspedia + AWS
For NovoUp Technologies, Capspedia delivered a multi-dimensional modernization outcome spanning compute optimization, storage tiering, analytics enablement, observability, security posture, and real-time cost governance in a single wave-based engagement. Capspedia’s proprietary accelerators (MigMod Discovery Assistant, CodeRev Assistant, and Cost Sentinel Agent, all built on Amazon Bedrock) shortened discovery, hardened the IaC change discipline, and gave NovoUp’s FinOps team a real-time governance loop that continues to compound value post-engagement.