Multi-Account Landing Zones
AWS Control Tower and Organizations provide centralized identity, logging, networking, and guardrails, and AWS Application Migration Service moves servers with continuous replication and rehearsed cutovers.
Cloud Solutions
Amazon Web Services
Build on AWS With a Foundation Made to Scale
Organizations choose AWS for its range of services and global reach, but the foundation decides how well it scales. We migrate workloads to AWS, modernize applications and databases, and build data and AI platforms grounded in the Well-Architected Framework.
What We Deliver
Where We Make the Difference
AWS gives teams many ways to solve the same problem, and early choices about accounts, networking, and databases are hard to undo. We set up a multi-account foundation, provision everything as code, and review each design against Well-Architected principles before it reaches production.
Databases on RDS and Aurora
We move databases off self-managed servers onto Amazon RDS and Aurora, handling schema conversion, replication, and cutover so you gain managed backups, high availability, and scaling.
Data Lake and Warehouse
Amazon Redshift, AWS Glue, and AWS Lake Formation form a governed data lake and warehouse that serves reporting, analytics, and machine learning from one foundation.
AI on Your Own Data
Amazon SageMaker and Amazon Bedrock support forecasting, anomaly detection, and generative AI applications grounded in your enterprise data, with access controls that you define.
Our Approach
How We Deliver Amazon Web Services
Step 1: Review Against Well-Architected
We assess current and planned workloads across the Well-Architected pillars and agree with you which gaps to close before or during migration.
Step 2: Provision Everything as Code
Accounts, networks, and services are defined in CloudFormation or Terraform, so every environment is repeatable, auditable, and can be rebuilt for disaster recovery.
Step 3: Migrate and Modernize in Waves
Applications and databases move in planned waves, with containers going to Amazon EKS and databases re-platformed onto RDS or Aurora where it improves cost or resilience.
Step 4: Watch Performance and Spend
Amazon CloudWatch, AWS Cost Explorer, and Compute Optimizer track health and cost, backed by right-sizing, Savings Plans, and tagging rules that keep spending in check.
What is a Well-Architected review?
It is a structured assessment of a workload against the pillars of the AWS framework: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. The output is a prioritized list of risks and the changes that address them.
Should our databases go to Aurora or standard RDS?
Aurora suits workloads that need higher throughput, fast failover, or many read replicas. Standard RDS is often simpler and cheaper for smaller or less demanding databases, so we recommend per database after reviewing its load.
Can we use generative AI without exposing our data?
Yes. AWS states that Amazon Bedrock does not use your prompts and outputs to train the underlying models. We connect it to your data through private networking, IAM roles, and logging so you control what the models can see.
Do you support hybrid setups with on-premises systems?
Yes. We connect AWS to your data centers with AWS Direct Connect or site-to-site VPN and design identity and networking so both environments work as one.
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