Cloud & IT

Cloud Services

We design, migrate, and manage cloud infrastructure on AWS, Azure and GCP — EC2, S3, Lambda and their equivalents — built for security and cost efficiency, not just "lift and shift" into the cloud and hope it's cheaper.

Migration, architecture and ongoing management

Moving to the cloud is easy to do badly — over-provisioned instances, no cost monitoring, and security groups left wide open are common outcomes of a rushed migration. We architect for the workload first, then migrate, then keep managing cost and security afterward instead of walking away once it's live.

Cloud Migration

Move existing applications and data to the cloud with minimal downtime.

Architecture Design

Right-sized infrastructure designed for your actual traffic and growth pattern.

Cost Optimization

Ongoing review of instance sizing, reserved capacity and idle resources to control spend.

Security Hardening

Properly scoped IAM roles, network security groups, and encryption at rest and in transit.

Auto-Scaling Setup

Infrastructure that scales with real demand instead of running at peak capacity 24/7.

Ongoing Management

Monitoring, patching and incident response after the migration is done.

How we approach a cloud project

1

Assessment

Review current infrastructure, traffic patterns, and cost to identify what actually needs to change.

2

Architecture design

Design infrastructure sized for your workload, not a generic template regardless of traffic.

3

Migration

Execute the migration in stages with rollback plans, minimizing downtime.

4

Monitoring & optimization

Ongoing cost and performance monitoring after go-live, not a one-time setup.

Where cloud work fits

Legacy infrastructure migration

Moving off on-premise servers or an outgrown hosting setup to scalable cloud infrastructure.

Enterprise

Scaling for growth

Re-architecting infrastructure that's hitting limits as traffic or data volume grows.

SaaSEcommerce

AI/ML infrastructure

GPU-backed compute and vector database hosting for AI workloads built with our AI team.

AI Products

Platforms we work with

AWS (EC2, S3, Lambda) Azure Google Cloud Platform Docker Kubernetes Terraform CloudWatch

Why proper cloud architecture matters

Right-sized infrastructure means you're not paying for idle capacity you don't need.

Proper security configuration from the start, not discovered during an audit later.

Auto-scaling means the infrastructure handles traffic spikes without manual intervention.

Ongoing management catches cost creep and security drift before they become expensive.

See what we've built

Recent projects

Browse our portfolio →

Frequently asked questions

Which cloud provider should we use — AWS, Azure or GCP?
It depends on your existing tooling, team familiarity, and specific service needs. We recommend based on your requirements rather than a default preference — AWS is our most common choice, but not the only one.
How much does cloud migration cost?
It depends on the size and complexity of what's being migrated. A cloud assessment gives an accurate scope and estimate before committing.
Will there be downtime during migration?
We plan migrations in stages specifically to minimize downtime, and for critical systems we design a rollback plan in case something needs to be reverted.
Can you help reduce our current cloud bill?
Yes — cost optimization reviews (right-sizing instances, reserved capacity, removing idle resources) are a common standalone engagement even without a full migration.
Do you provide ongoing cloud management, or just the migration?
Both — ongoing monitoring, patching, and cost/security review are available as a continued engagement after migration.
Can you set up infrastructure for AI/ML workloads specifically?
Yes — GPU-backed compute, vector database hosting, and the infrastructure our AI & Automation team's systems run on.

Infrastructure holding you back?

Get a free cloud assessment before you commit to a migration plan.

Start Cloud Journey

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