Refactor · Replatform · Re-architect

Cloud Modernization

Refactor legacy monoliths into resilient, event-driven, cloud-native systems.

[ Overview ]

We modernize brittle, expensive legacy stacks into elastic, event-driven, cloud-native systems — without stalling the business. Our modernization squads combine domain-driven design, strangler-fig migration patterns and hands-on hyperscaler expertise.

Why it matters

Legacy platforms cap growth, inflate cost and slow every release. Modernizing correctly — not just lifting to VMs — unlocks 40-60% TCO reduction and multi-x deploy velocity.

[Avg TCO reduction]

-45%

[Deploy velocity]

6×

[Feature throughput]

3×

[Post-modernization uptime]

99.99%

Capabilities

Everything included in
Cloud Modernization.

Application Refactoring

Break monoliths into services with domain-driven decomposition and strangler-fig cutovers.

Container & Kubernetes

Package, orchestrate and operate workloads on EKS, AKS or GKE with production hardening.

Serverless Replatform

Move batch and event workloads to Lambda, Functions or Cloud Run with cost telemetry.

API-First Redesign

GraphQL and event-driven backbones so front-ends move without waiting on core teams.

Data Modernization

OLTP-to-cloud-native, lakehouse patterns and streaming with Kafka / Kinesis / PubSub.

Legacy Wrapping

Expose mainframe / ERP capabilities through modern APIs while migration continues.

How we deliver

A repeatable engagement,
tuned to your estate.

PHASE 01
Discover
Portfolio scoring, business-case modeling, 6R decision per workload.
PHASE 02
Design
Target architecture, event catalog, service topology and cutover plan.
PHASE 03
Deliver
Iterative slice-by-slice modernization with continuous production traffic validation.
PHASE 04
Operate
Handover to platform + SRE with observability, SLOs and cost guardrails built in.

Reference architecture

The stack we deploy
on day one.

Compute

· Kubernetes
· Serverless functions
· Managed containers

Integration

· Kafka
· EventBridge / Event Hubs
· API gateway

Data

· Postgres / Aurora
· Cosmos / Spanner
· Lakehouse (Databricks, BigQuery)

Delivery

· Terraform
· ArgoCD / Flux
· GitHub Actions / Azure DevOps

[ Toolset ]

Best-in-class tools we bring in.

Kubernetes

Terraform

Kafka

ArgoCD

PostgreSQL

Databricks

GraphQL

FAQs

Common questions,
answered.

Do we need to freeze features during modernization?+

No. We use strangler-fig patterns so business features keep shipping while workloads move.

Related outcomes

Where Cloud Modernization shipped
real business value.

[ AWS · iGaming · Sports Betting ]

15M+ daily requests, sub-100ms latency — a betting platform re-engineered for peak.

[ Azure · RegTech · Tax ]

Tax-compliance SaaS re-platformed on Azure — 4× faster releases, audit-clean.

[ AWS · Cross-Border Payments ]

Payments backbone modernized with zero-trust networking and 24×7 SecOps.

Ready to engineer Cloud Modernization?

Book a call →