Amazon Web Services
AWS Cloud Services and Solutions
We design, build and operate workloads on Amazon Web Services, from multi-account landing zones and migrations to data lakes, analytics, machine learning and generative AI with Amazon Bedrock.
Build a Stronger Business on AWS
AWS offers the broadest catalog of cloud services available, and that breadth is both its strength and its challenge. Choosing between Redshift and Athena, Glue and EMR, SageMaker AI and Amazon Bedrock, or Savings Plans and Reserved Instances requires experience with how each behaves in production. Hanoi Technology works with AWS across infrastructure, data, analytics and AI, so architecture decisions in one area support the others instead of creating new silos.
We follow the AWS Well-Architected Framework and its six pillars as our baseline, use AWS Control Tower and AWS Organizations for multi-account governance, and deliver everything as infrastructure as code. Your team receives documented, reproducible environments and the knowledge to run them.
The Challenge
Common Obstacles on the Way to AWS Value
Most AWS programs struggle with structure and operating discipline rather than with technology.
Account Sprawl and Inconsistent Guardrails
Accounts created without AWS Organizations structure, service control policies or centralized logging lead to inconsistent security and hard-to-audit environments.
Data Spread Across Too Many Services
S3 buckets, RDS databases, Redshift clusters and third-party tools accumulate without a shared catalog, permissions model or clear ownership.
Machine Learning That Never Ships
Notebooks and proofs of concept multiply in SageMaker AI, but few models reach production with monitoring, retraining and clear business owners.
Rising, Unexplained Costs
Without tagging, cost allocation and commitment planning, AWS bills grow faster than usage, and teams cannot see which decisions drive spend.
Business Value
What a Well-Architected AWS Platform Delivers
Secure Multi-Account Foundation
AWS Control Tower, IAM Identity Center, service control policies and centralized logging give every workload consistent guardrails from day one.
Faster, Safer Migrations
AWS Transform, AWS Transform MGN and AWS DMS move servers and databases in planned waves with tested cutovers.
An Open, Governed Data Lake
Amazon S3, Apache Iceberg tables, AWS Glue Data Catalog and AWS Lake Formation give analytics and AI a single governed foundation.
Analytics at Any Scale
Amazon Redshift, Amazon Athena and Amazon Quick Sight serve everything from ad hoc SQL to company-wide dashboards.
Production-Grade ML and Generative AI
SageMaker AI and Amazon Bedrock, combined with MLOps and evaluation practices, turn models into reliable products.
Costs Tied to Value
Tagging, Cost Explorer, Savings Plans and rightsizing link spend to teams and products, so savings are measurable and sustained.
Breadth Is Only Useful with a Blueprint
AWS gives you hundreds of services, and every team can choose differently. We define reference architectures, landing zone guardrails and reusable modules first, so each new workload benefits from what the previous ones established.
Our Services
Hanoi Technology’s End-to-End AWS Services
Eight service lines that can be engaged on their own or as one AWS program.
Landing Zones and Migration
We build multi-account landing zones with AWS Control Tower and migrate servers, databases and applications using AWS Transform, AWS Transform MGN and AWS DMS.
- Landing zone as code
- Migration assessment and wave plan
- Cutover runbooks and hypercare
Data Lakes and Lakehouses
We implement S3-based data lakes with Apache Iceberg, AWS Glue, Lake Formation permissions and the lakehouse architecture of Amazon SageMaker.
- Lake architecture and zones
- Ingestion pipelines
- Fine-grained access model
Data Warehouse Modernization
We migrate legacy warehouses to Amazon Redshift Serverless or provisioned clusters, convert schemas and code, and integrate with the data lake.
- Schema and code conversion
- Data migration
- Performance tuning
Analytics and Business Intelligence
We deliver dashboards and self-service analytics with Amazon Quick Sight, Athena, OpenSearch Service and streaming analytics with Kinesis and Managed Service for Apache Flink.
- Semantic layer and dashboards
- Streaming analytics
- Embedded analytics
Machine Learning and Generative AI
We build ML solutions with SageMaker AI and generative AI applications with Amazon Bedrock, Knowledge Bases, Guardrails and AgentCore.
- Production models and MLOps
- RAG assistants and agents
- Evaluation and monitoring
FinOps, Backup and DR
We optimize AWS spend with Cost Optimization Hub and Compute Optimizer, and protect workloads with AWS Backup and AWS Elastic Disaster Recovery.
- Savings roadmap
- Backup and DR design
- Recovery drill reports
Explore
Explore Our AWS Services
- AWS MigrationMove servers, databases and applications to AWS with AWS Transform and tested cutovers.Learn more
- AWS Data Lake ImplementationGoverned S3 and Apache Iceberg data lakes with Glue and Lake Formation.Learn more
- AWS DWH ModernizationMigrate legacy warehouses to Amazon Redshift with validated results.Learn more
- AWS Smart AnalyticsDashboards, self-service BI and real-time analytics with Quick Sight, Athena and Kinesis.Learn more
- AWS Machine Learning and AIProduction ML with SageMaker AI and AWS AI services, backed by MLOps.Learn more
- AWS Cost OptimizationFinOps, rightsizing and Savings Plans that reduce your AWS bill.Learn more
- AWS Backup and DRRansomware-resilient backups and tested recovery with AWS Backup and Elastic Disaster Recovery.Learn more
- AWS Generative AIAssistants, RAG and agents built on Amazon Bedrock and AgentCore.Learn more
Our Approach
How We Deliver on AWS
A consistent five-step model across migration, data and AI engagements.
- 01
Assess
We review accounts, architecture, security posture, costs and data assets using AWS Trusted Advisor, Security Hub, Cost Explorer and interviews with your teams.
Deliverables: Current-state assessment · Risk and opportunity list
- 02
Design
We define the account structure, guardrails, network topology and workload or data architecture against the Well-Architected pillars.
Deliverables: Target architecture · Guardrail and access model
- 03
Build as Code
Infrastructure and pipelines are delivered with Terraform, AWS CloudFormation or AWS CDK and deployed through CI/CD.
Deliverables: Infrastructure as code · Deployment pipelines
- 04
Deliver Workloads
We migrate or build workloads in increments, validating security, performance and cost before scaling.
Deliverables: Production workloads · Increment reports
- 05
Operate and Optimize
We hand over runbooks and dashboards or continue as a managed service with regular cost, security and reliability reviews.
Deliverables: Runbooks and CloudWatch dashboards · Monthly optimization report
Use Cases
Where AWS Delivers Results
Representative scenarios we design and implement on AWS.
Data Center Exit
Hundreds of VMware VMs and databases move to Amazon EC2 and Amazon RDS in waves, orchestrated through AWS Transform with AWS Transform MGN for replication.
Lakehouse for Analytics and AI
Operational data lands in Iceberg tables on S3, governed by Lake Formation and queried by Athena, Redshift and SageMaker AI notebooks.
Warehouse Migration to Redshift
An on-premises Teradata or SQL Server warehouse is converted with AWS DMS Schema Conversion and moved to Redshift Serverless.
Real-Time Operations Dashboard
Order and delivery events stream through Amazon Kinesis into dashboards that dispatchers use to react within minutes.
Demand Forecasting Model
A SageMaker AI pipeline trains and deploys forecasting models with monitoring and scheduled retraining.
Generative AI Assistant
A support assistant built on Amazon Bedrock answers from product documentation with Knowledge Bases and Guardrails.
Technology
AWS Services We Work With
Core AWS services we design, implement and operate.
- AWS Control Tower
- AWS Organizations
- AWS Transform
- AWS Transform MGN
- AWS DMS
- Amazon S3
- AWS Glue
- AWS Lake Formation
- Amazon Athena
- Amazon Redshift
- Amazon Quick Sight
- Amazon Kinesis
- Amazon SageMaker AI
- Amazon Bedrock
- AWS Backup
- AWS Cost Explorer
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Food delivery
AI dispatch and live tracking for a food delivery startup
A fast-growing urban food delivery startup was losing customers to slow deliveries at peak times. We built AI order dispatching and connected restaurants, drivers and customers in real time.
Read the Full StoryMore Success Stories
E-commerce and retail
+32%conversion ratePersonalized shopping experience for a US fashion retailer
A fast-growing US fashion and lifestyle retailer had plenty of traffic but a 2.1% conversion rate. We combined a recommendation engine with a simpler path from discovery to checkout.
Logistics
−25%operational costsRoute optimization and fleet visibility for a regional logistics company
A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Plan Your Next Move on AWS
Tell us what you run on AWS today and what you want to achieve next. We will reply within 24 hours and arrange a free consultation with an engineer who works on AWS daily.
AWS FAQ
Are you an AWS partner?
Hanoi Technology is an independent engineering company that works with and builds on AWS. We do not claim an AWS partner tier, competency or badge. We offer hands-on experience with AWS services, delivery guided by the AWS Well-Architected Framework and evidence from more than 50 software projects for clients in North America, Europe and Asia-Pacific. If you need a partner with a specific designation for funding or procurement reasons, tell us early so we can discuss options.
Where should we start if we already use AWS?
Start with an assessment of what exists. We review your account structure, IAM and identity setup, network design, AWS Security Hub findings, Trusted Advisor checks and recent cost and usage data. You receive a prioritized list of improvements with effort and impact estimates. Landing zone and identity improvements usually come first, because migration, data and AI projects all depend on them.
How long does a typical AWS engagement take?
Assessments usually take two to four weeks. A landing zone build with AWS Control Tower and customizations takes several weeks depending on networking and integration needs. Migrations, data lake and warehouse programs run in waves or domains over several months, while focused AI or analytics projects can deliver a first production increment in a few months. We share weekly written updates and demo progress every sprint.
What drives the cost of an AWS project?
Delivery effort depends on the number of workloads or data sources, complexity of integrations, compliance requirements and how much testing and parallel running is required. Your ongoing AWS bill depends on architecture choices, which is why we estimate run costs during design with the AWS Pricing Calculator and assessment data, and identify savings through Savings Plans, Graviton instances and serverless options.
Which infrastructure as code tools do you use?
We use Terraform, AWS CloudFormation or AWS CDK, depending on your standards and team skills, with CI/CD in GitHub Actions, GitLab or AWS CodePipeline. Landing zones are extended with Control Tower customizations or Account Factory for Terraform. You own all repositories, and modules are documented so your team can maintain and extend them after handover.
Can you operate our AWS environment after delivery?
Yes. You can take over with documentation and knowledge transfer, extend your team with our engineers as a dedicated team, or engage us for managed services such as monitoring, patching, backup verification, security findings triage and monthly cost reviews. We overlap working hours with your time zone and agree on escalation paths and response expectations in advance.