Cloud migration that needs no outage window.

Cloud-native architecture, infrastructure as code and DevSecOps, with every migration step reversible until the old path is retired.

Trusted on systems that cannot fail

SiemensYunex TrafficAutobahn
Finastra
InfraSignal
Abidat
PTV Group
Körber
Westfalia
FrontFundr
GFA Group
Seneca ESG
Cygon
Dasan
Aimsun
eGo Digital
Maoneng
OnOffice
Reinstil
Zero
Downtime during migration
99.99%
Post-migration uptime
40%
Infrastructure cost reduction

Certified, accredited and independently reviewed

Clutch Top App Modernization Service company, Vietnam 2026Clutch Top Cloud Consulting Company, Vietnam 2026Clutch Top Machine Learning Company, Vietnam 2026
Capabilities

Cloud migration services, from architecture to cost control.

One team, accountable for the whole lifecycle, not a slice of it.

Cloud architecture

Well-architected designs for cost, resilience and scale, reviewed before build.

Infrastructure as code

Every environment reproducible and version-controlled. No click-ops drift.

CI/CD and DevSecOps

Automated, secure pipelines with policy and scanning enforced at every gate.

Zero-downtime migration

Incremental cutover with behavior locked by tests. No big-bang risk.

Observability and SRE

Metrics, logs, traces and SLOs wired in so you see problems before users do.

Cost and security optimization

Continuous right-sizing and hardening to keep spend and risk under control.

How we build it

Spec-driven, AI-assisted delivery, governed end to end.

Cloud migration comes with its own set of challenges and hurdles. With AI, we run this five-step approach to give you governed and predictable outcomes. Every phase closes with deliverables you can point at, so you always know what has moved, what is still running on the old estate, and what the next step will be.

  1. Assess 4-6 weeks

    Discovery and dependency mapping

    We map the system, risks and constraints. Honest, fast, no obligation.

    • Application inventory - every app, database and integration, with criticality tier and performance baseline.
    • Dependency map - what talks to what, grouped into migration waves.
    • Data classification - which datasets carry residency or sector obligations.
    • Target architecture - landing zone, network, identity, encryption, monitoring, DR.
  2. Spec 3-4 weeks

    Landing zone and security baseline

    The target estate is stood up, hardened and connected before a single workload moves.

    • Landing zone - deployed with policies that pin resources to approved regions.
    • Dedicated connectivity - Direct Connect or ExpressRoute, with encrypted VPN as backup.
    • Security baseline - Zero Trust, MFA, role-based access, microsegmentation and SIEM, before any workload moves.
    • Validation environment - a non-production mirror of the target for the proof of concept.
  3. Build 2-3 weeks

    Proof of concept

    AI agents build from the specs; senior engineers hold every gate.

    • One representative workload - migrated with the same mechanics the production waves will use.
    • Replication validated - data consistency, performance and integrations checked in the target.
    • Cutover rehearsed - DNS switch, verification, measured transition time, tested rollback.
    • Runbook updated - with what the rehearsal surfaced: timeouts, certificates, clock skew, permissions.
  4. Govern 8-16 weeks

    Wave migration

    Tests, hooks and reviews enforce the standard continuously in CI.

    • Waves ordered - by dependency group and criticality tier.
    • Blue-green cutover - the old environment serves traffic until the new one passes validation.
    • Change data capture - keeps both in sync, so a rollback still has current data.
    • Post-wave validation - functionality, data, performance, integrations, security controls.
  5. Ship and scale 2-4 weeks

    Decommission and optimize

    Release, observe and harden. Throughput grows as the harness learns.

    • Source systems retired - only after two to four weeks of clean operation.
    • Documentation handed over - architecture, runbooks, disaster recovery procedures.
    • Resources right-sized - against real utilisation, with commitments and auto-scaling set.
    • Rollback held open - for one full business cycle before it is stood down.
30-50%
Faster time to market
40-60%
Less rework and rip-out
2-3x
Delivery throughput per engineer
90%+
Requirements covered by tests
Platforms and tooling

The platforms we run on, and what we build with.

Platform choices your team can operate and hire for after we hand over.

Cloud platforms

Landing zones through to automated operations. We architect and run secure, scalable platforms on AWS, Azure, Google Cloud and Firebase, with delivery speed and cost both held to account.

AWS

Amazon Web Services

EC2, ECS and EKS, Lambda, RDS and S3, built with infrastructure as code, multi-AZ resilience and cost governance from day one.

Azure

Microsoft Azure

AKS, App Service, Functions and Azure SQL, with policy, infrastructure as code and pipelines suited to regulated workloads.

GCP

Google Cloud Platform

GKE, Cloud Run, BigQuery and Pub/Sub for data-heavy and analytics workloads, operated to SRE practice.

Firebase

Firebase

Auth, Firestore, Cloud Functions and Hosting for products that need real-time sync and serverless operations quickly.

Tech stack

What we build it with.

Chosen for what your team can operate and hire for, not for what is new.

Clouds

Infrastructure as code

Runtime

Operations

Migration paths

Where you are now, and where you are going.

Four routes cover most estates. Each one turns on a different set of questions, so the plan says which ones apply to you.

On-premises data centre AWS, Azure or Google Cloud

Key considerations

Network connectivity, data transfer windows, application dependencies, and how long the two estates need to coexist.

AWS Azure or Google Cloud

Key considerations

Service mapping, IAM translation, data migration, and DNS cutover.

Single cloud Multi-cloud

Key considerations

Workload placement, cross-cloud networking, unified management, and cost allocation.

VMs and bare metal Containers and Kubernetes

Key considerations

Containerising the application, handling stateful workloads, CI/CD integration, and monitoring.

Deliverables

What to expect when you partner with us.

Infrastructure, pipelines and runbooks in your repositories, reproducible without us in the room.

Architecture

  • System architecture and decision records
  • Behavior-first specification set
  • Domain and data model
  • Delivery plan with named gates

Implementation

  • Working software every iteration
  • Spec-derived test suite running in CI
  • Infrastructure as code for each environment
  • Release and rollback runbooks

Operations

  • Source, pipelines and infrastructure, owned by you
  • Architecture and operations documentation
  • Coverage mapped to requirements
  • Knowledge transfer with your engineers

Changes after v1 cost days, not another rewrite.

New engineers ship from the specifications rather than from tribal knowledge.

Releases stop being events, because the test suite decides when it is safe to ship.

Case study · Azure cloud migration

A US fintech platform moved to Azure with zero downtime.

Live financial services could not take an outage window. We moved the whole on-premise estate to Azure behind Front Door and API Management, separating consumer, business and shared workloads, with a primary-secondary SQL Server pair for failover. Delivered 2021 to 2024.

Downtime during migration
Zero
Post-migration uptime
99.99%
Infrastructure cost reduction
40%

Enterprise-grade security posture with Azure AD, Key Vault and Security Center; automated operations through Azure Runbooks. Client confidential, USA.

Testimonials

Our Clients Say It All

Engagement

How we work together

Every engagement runs on the Agentic SDLC, with senior engineers at every gate.

Cloud migration

A running system has to move without stopping.

Commercials
Fixed scope, phased cutover
Typical duration
8-20 weeks

Platform build

You need the foundation teams build on.

Commercials
Fixed-scope landing zone and pipelines
Typical duration
6-12 weeks

DevSecOps retainer

Ongoing platform and reliability work.

Commercials
Dedicated engineers, monthly
Typical duration
6+ weeks

Every engagement starts with an assessment. It is fixed price, it ends in a written plan, and the plan is yours whether or not you continue with us.

Certified, accredited and independently reviewed

Clutch Top App Modernization Service company, Vietnam 2026Clutch Top Cloud Consulting Company, Vietnam 2026Clutch Top Machine Learning Company, Vietnam 2026
FAQ

Frequently asked questions.

Something not covered here? Ask an engineer directly, no SDRs, no funnel.

Can you migrate without downtime?

In most cases yes. We lock current behavior with tests, move service by service behind stable interfaces, and keep every step reversible. Where a short window is unavoidable we tell you early.

Which cloud should we be on?

The one your team can operate. We will give you a cost and capability comparison, but the operating model matters more than the provider.

Do you do multi-cloud?

Where there is a real reason: data residency, a specific managed service, a contractual requirement. We do not recommend it for its own sake.

How do you handle security and compliance?

Policy and scanning run as gates in the pipeline, not as an audit at the end. We work to ISO 27001 practices and align to your compliance obligations.

What happens after go-live?

Runbooks, alert routing and handover to your team, or a retainer if you would rather we keep operating it while your team ramps.

Let's Work Together

Tell us what you're building. Our engineers will respond within 1 business day with a concrete next step - no sales script, no obligation.