Multi-Region AWS Migration

Isometric diagram of an AWS estate moving from the us-west-1 region to us-west-2: two platforms of servers, databases, containers and storage, with services in transit between them and check marks on those already landed.

The client runs a consumer ocean-data platform — surf forecasts, live cameras, recorded clips and highlight reels — as a large, distributed workload in AWS N. California (us-west-1), one of the more expensive US regions. Moving it to Oregon (us-west-2) would cut the running cost of the same estate, but nobody held a complete picture of what "it" meant: six product workstreams shared buckets, queues, topics and CDN distributions across three separate AWS accounts, including a legacy account inherited from an earlier platform.

Two engineers at a board of cloud service cards, tracing one product path through a CDN node, a bucket, a queue, a function and a container.

718 Resources Moved With Minimal Downtime

We began with discovery rather than migration. Every resource in scope was inventoried by service and by account, then each product workstream was traced end to end — from CDN domain through origin bucket, queue, function and cluster — so a per-service migration plan could be written and validated with the client before anything was touched. Non-production environments were migrated first as full dress rehearsals, and each caveat found there was folded back into the runbook used for the production cutovers into Oregon (us-west-2).

Key Benefits & Outcomes

The results speak for themselves — here's how this engagement delivered measurable improvements across performance, reliability, and operational efficiency.

Automation & Reliability

Discovery produced a resource-level inventory — 718 resources across 20 AWS services and three accounts — rather than an estimate. Every item carried its account, region and owning workstream, so the client could see exactly what was moving and what was deliberately staying behind.

Performance & Scalability

The move paid for itself in run-rate. N. California (us-west-1) carries a premium over Oregon (us-west-2) across compute, storage and managed data services, and rebuilding the estate in Oregon (us-west-2) cut roughly 20% from the monthly bill for the same workload — the reason the client wanted the move in the first place. Existing tooling was kept: the estate was already defined in CloudFormation, Terraform and Serverless across 176 stacks, so the second region was built from the same definitions rather than a parallel toolchain the client's team would have had to learn.

Security & Compliance

Production cutovers were rehearsed before they were run. Each service was migrated first in a non-production environment to surface ordering and reconfiguration caveats, cutover windows were scheduled with the client rather than imposed, and upstream services were reconfigured as each component landed — keeping downtime to a minimum on a platform serving live cameras and forecasts.

An engineer watching monitoring dashboards: a flat uptime line, green status checks and a cost chart stepping downward, beside a cloud platform of containers, storage and streaming services.

What Moved

Roughly 1,200 resources were inventoried across the estate during discovery; 718 of them — about 60% — were in scope and migrated, at an average of 90 resources a week. A further 176 CloudFormation stacks, 90 CloudFront distributions and 60 application endpoints were mapped to their owning workstreams.

ECR203

S3136

KMS72

SNS65

Secrets Manager55

EC249

Elastic Load Balancing37

Lambda37

SQS27

ECS12

Glue6

ElastiCache5

Athena3

WAF3

DynamoDB2

VPC2

EFS1

Kinesis Firehose1

OpenSearch1

Redshift1

Total resources migrated718

Technology

Compute & Containers

Amazon EC2Amazon ECSAmazon ECRAWS LambdaAWS BatchWowza Streaming Engine

Storage & Data

Amazon S3Amazon EFSAmazon RDSAmazon DynamoDBAmazon RedshiftAmazon ElastiCacheAmazon OpenSearchAWS GlueAmazon AthenaAWS Data Pipeline

Networking & Delivery

Amazon CloudFrontElastic Load BalancingAmazon VPCAWS WAFAmazon Route 53

Messaging & Streaming

Amazon SNSAmazon SQSAmazon KinesisKinesis Data Firehose

Security & Identity

AWS IAMAWS KMSAWS Secrets Manager

Infrastructure as Code

AWS CloudFormationTerraformServerless Framework

How It Was Delivered

Discovery & Documentation

Inventory every resource in the source region, identify what belongs to which workstream, and document what is in scope.

Redeployment

Stand up the target region from the client's existing CloudFormation, Terraform and Serverless definitions.

Migration Dry-Run

Migrate and cut over non-production environments to rehearse each step and capture caveats.

Migration

Run the production data migration and cutovers on scheduled windows, reconfiguring upstream services as each lands.

Knowledge Transfer & Handoff

Working sessions and documentation so the client's own team owns the new region.

The Team

A three-person team across three roles over an eight-week engagement.

255 engineering hours across 8 weeks — about 2.8 resources migrated per hour

Cloud ArchitectTarget-region architecture and per-service migration design

Senior Cloud ConsultantDiscovery, migration planning and cutover sequencing

Cloud EngineerRedeployment, dry-runs and production migration execution

What This Project Means For Us

This engagement is the discovery-first pattern we bring to migrations: the inventory is the deliverable that de-risks everything after it. Counting 718 resources and tracing which of six workstreams owned each one turned an open-ended "move the workload" request into a sequence of scheduled, rehearsed cutovers — 90 resources a week, across 20 AWS services, with minimal downtime and about 20% off the monthly bill for a consumer platform that is watched live.

Technical Highlights

Full resource discovery across three AWS accounts, from N. California (us-west-1) to Oregon (us-west-2)

Per-service migration plans validated with the client before execution

Redeployment through the existing CloudFormation, Terraform and Serverless definitions

Mock migrations in non-production to rehearse every cutover

Scheduled production cutovers completed with minimal downtime

CDN, DNS and origin remapping across 60 application endpoints

Video pipeline migration covering streaming, recording and clip generation

Data platform migration across Athena, Glue, Redshift and OpenSearch

Knowledge transfer and handover documentation for the client's own team

Roughly 20% reduction in monthly run-rate for the same workload

One partner across a portfolio of media projects

We've brought Cloud Ripples into a wide range of engagements across our media and entertainment work, and they adapt quickly to each one. Whether it's a greenfield product build or a DevOps engagement on an existing platform, they come in with the right people, ask the right questions early, and deliver without needing to be managed closely.

Sreejith ParthaCEO

A trusted engineering partner for over 15 years

Cloud Ripples has been part of Gooru's engineering team for more than fifteen years, building and maintaining our applications and managing the cloud infrastructure they run on. They've scaled with us through every stage of our platform's growth, and their reliability, ownership, and deep understanding of our systems have made them a genuine extension of our team rather than a vendor.

SriniCo-founder & CPO

Cloud Ripples developed and now maintains our ERP application across web and mobile

From consultation to delivery, they were professional and insightful. They understood our needs and exceeded expectations. They also handled infrastructure design, hosting, and 24/7 server monitoring, ensuring smooth operation and peace of mind.

VaibhavDirector Operations

Cloud Ripples Support Has Been Essential to Our Success

A reliable and responsive partner, Cloud Ripples handled our diverse tech needs and the complex DEI Toolkit customization with skill and positivity. Their support means a lot to us.

Kris KewitschExecutive Director

A free consultation — with an engineer, not a salesperson

Tell us what you are trying to build, fix or migrate. We will look at your architecture, your costs and your risks, and come back with a recommendation in writing — whether or not it turns into an engagement.

Someone who has read up on your stack before the call

A working session on your actual problem — not a product pitch

An honest view of what you need, and what you do not

A written proposal with fixed scope and cost

The same engineers delivering it, and supporting it afterwards

contact@cloudripples.io

+91 8939464343

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Ekkatuthangal, Chennai - 600032, INDIA

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