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Cloud Migration & AI Infra Relocation,

MonkDA service showcase

Seamlessly migrate legacy systems and AI workloads to modern cloud environments with minimal downtime and maximum cost optimisation.

[ Capabilities ]

Infrastructure Transition

Successfully transition workloads from physical servers to highly resilient cloud setups.

Lift & Shift Migration.

Quickly copying existing machine states and server images directly to cloud environments.

Lift & Shift Migration.

GPU Workload Tuning.

Setting up virtual machines with NVIDIA tensor core graphics cards for AI execution.

GPU Workload Tuning.

Infrastructure Cost Pruning.

Refactoring resource profiles and auto-scaling rules to minimize hosting costs.

Infrastructure Cost Pruning.
OUR IMPACT

Transforming Businesses

We pride ourselves on delivering measurable results that drive growth and maximize ROI for our clients.

Background
IMKAT

0s

active user downtime experienced during live multi-terabyte DB migrations

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WISEMINDS EHR

2.4x

faster training iteration speeds after GPU cluster relocation to GCP

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Background
TOVAH SYSTEMS

42%

reduction in monthly infrastructure spend after serverless cloud re-architecture

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Background
CHERISHED JEWELLERY

3.5x

increase in Shopify storefront backend response speeds after API lift-and-shift

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Background
OLIVE FOUNDRY

60%

decrease in time required to spin up staging and development server sandbox systems

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Migration Engineers

Infrastructure Transition Architects

Workload Discovery

Workload Discovery

2 Weeks

Mapping existing server inventories, auditing database sizes, and identifying complex software dependencies.

Work involved

Inventory AuditingDependency MappingSizing Estimates
Week 1
Target Cloud Blueprinting

Target Cloud Blueprinting

2 Weeks

Designing the cloud architecture in Terraform, choosing serverless or container frameworks, and creating migration runbooks.

Work involved

Terraform BlueprintsRefactoring PlansMigration Schedules
Week 1
Data Migration & Cutover

Data Migration & Cutover

3 Weeks

Replicating database records in real-time, executing DNS cutovers, and validating functionality on the target cloud.

Work involved

Live ReplicationDNS CutoverDry-Run Auditing
Week 2
Cost & GPU Optimization

Cost & GPU Optimization

Ongoing

Analyzing cloud billing, optimizing container resources, and setting up GPU scheduling configurations.

Work involved

Billing AuditingResource TuningGPU Management
Week 5

What our
clients say

Imkat

Relocating our entire high-performance computing pipeline was daunting. MonkDA completed the migration ahead of schedule, with zero data loss or service disruption.

Roger Vance

Lead HPC Architect

Olive Foundry

They migrated our legacy database clusters to a modern Kubernetes environment, resulting in a 40% reduction in monthly cloud compute fees.

Klara Fischer

CTO

Heather Ann Ferri

MonkDA modernized our application stack during the cloud migration process. Page load speeds improved by 3x on day one.

Heather Ann Ferri

Founder

[ FAQ ]

Common
questions.

Everything you need to know before starting a project with us. Still curious? Let's talk.

[ 01 // SERVICES ]

How do you guarantee zero downtime during database migrations?

[ 02 // PRICING ]

What is the difference between Lift-and-Shift and Re-Platforming?

[ 03 // TIMELINE ]

How do you optimize GPU training workloads in the cloud?

[ 04 // SITECARE ]

Can we migrate out of physical on-premise hardware?

[ 05 // VISION ]

How long does a typical migration project take?