Cloud infrastructure diagram showing AWS DevOps CI/CD pipeline with Kubernetes and Docker containers

Cloud Migration & DevOps Services

We migrate workloads to AWS, Azure, or GCP and wire up the CI/CD pipelines, Kubernetes clusters, and infrastructure-as-code that let your team ship faster with confidence. Manual deployment bottlenecks gone, infrastructure costs down, and architecture built for 99.9% uptime.

See Our Cloud Work

What is Cloud Migration & DevOps?

Cloud migration is moving applications, data, and infrastructure from on-premise servers or an existing provider into a cloud environment. DevOps is the practice that makes that infrastructure maintainable afterward automated deployment, version-controlled configuration, and monitoring that catches problems before users do.

We've migrated legacy infrastructure to AWS and Azure for clients across multiple industries cutting deployment times from days to minutes and infrastructure costs by 30–50% in the process.

How long does a cloud migration take?

Most migrations run three to six months depending on how many applications move and how tightly coupled they are. We migrate in phases rather than as a single cutover, so each workload moves independently with its own rollback path and nothing depends on one weekend going perfectly.

Will migrating to the cloud actually reduce our costs?

Usually, but not automatically lifting existing servers into cloud VMs often costs more than the datacenter did. Savings come from right-sizing, autoscaling, reserved capacity, and eliminating over-provisioned resources. We model expected spend during the audit so the number is based on your workloads, not an average.

What's Included

  • An audit of current infrastructure, dependencies, and risk
  • A phased plan with rollback procedures at each stage
  • Infrastructure defined as code rather than configured by hand
  • CI/CD pipelines replacing manual deployment
  • Observability and cost monitoring from day one

Modern Cloud Infrastructure That Ships Faster and Costs Less

Legacy infrastructure slows your team down and inflates your costs. We migrate your workloads to AWS, Azure, or GCP and wire up CI/CD pipelines, Kubernetes clusters, and infrastructure-as-code that let your engineers deploy multiple times a day safely, with full rollback support and architecture built for 99.9% uptime.

On vendor lock-in. We build with Terraform and Kubernetes rather than provider-specific abstractions wherever it's practical, so your infrastructure stays portable. If you need to move providers in three years, that's a project not a rewrite.

See How We've Deployed This
Cloud infrastructure diagram showing AWS DevOps CI/CD pipeline with Kubernetes and Docker containers
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What's Included

Explore the core capabilities we deliver under Cloud Migration & DevOps.

End-to-end migration of on-premise workloads to AWS, Azure, or GCP phased, with rollback at every stage, full data integrity checks, and cost optimization built into the target architecture rather than bolted on after.

Why Choose Us

We don't just write code we build products that drive real business outcomes.

4–6 weeks
To a working AI MVP

Fast Delivery

Discovery to deployed prototype, typical range

150+
Projects delivered

Proven Track Record

Across AI, SaaS, cloud, and data since 2017

50+
Experts

Dedicated Team

You get a dedicated team of experts who treat your project like their own product.

100%
Secure

Enterprise Security

Security-first architecture with best practices baked into every layer of the product.

24/7
Support

24/7 Support

Round-the-clock monitoring and support — we don't sleep when your product is live.

97%
Satisfaction

Scalable by Design

Systems built to grow from your first user to your millionth without costly rewrites.

Our Process

Four phases from product strategy to launch. Here's what happens in each, and what you get at the end of it.

STEP1

Infrastructure Assessment (1–2 weeks)

We audit your current infrastructure, map dependencies, and identify migration risks before committing to a timeline.

You Get: An infrastructure audit report with risk assessment and a phased migration plan.

STEP2

Migration Planning (2–3 weeks)

We produce a phased migration plan with rollback procedures at every step — so there's no single point of failure during the move.

You Get: A detailed migration runbook with rollback procedures and a zero-downtime deployment plan.

STEP3

Cloud Setup & CI/CD (4–12 weeks)

We provision your cloud environment with Terraform, wire up CI/CD pipelines, and configure Kubernetes clusters before migrating any workloads.

You Get: A fully provisioned cloud environment with IaC configs, CI/CD pipelines, and Kubernetes clusters.

STEP4

Monitoring & Optimization (30 days + ongoing)

We set up full observability — logs, metrics, alerts — and run a 30-day cost and performance optimization cycle after go-live.

You Get: Observability dashboards, cost reports, and a 30-day optimization summary with savings achieved.

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What You Actually Get

Here's what you gain when you choose Cloud Migration & DevOps with Aridian Technologies.

01

A Cloud Bill You Can Explain

Right-sizing, autoscaling, and reserved capacity applied against your actual usage plus a 30-day optimization summary showing what was saved and where. Most clients see 30–50% off their run rate.

02

Deployments That Stop Being Events

CI/CD pipelines that ship to production multiple times a day with automated tests and rollback. Release day becomes a Tuesday.

03

Architecture Built for 99.9% Uptime

Multi-AZ deployment, automated failover, and observability that surfaces problems before your users report them. Resilience designed in rather than bolted on.

Real Projects, Real Outcomes

Ten industry claims backed by shipped software. Here are three.

Frontline Ticketing

SaaS Event Ticketing Platform

5+ years of continuous collaboration and 24/7 uptime

Delivered a full-featured multi-currency event management SaaS with AI identity verification, QR entry, and escrow payouts — deployed on AWS.

Read Case Study

ICE Innovations

AI-Powered Ride-Hailing Platform

AI-based driver verification reduced fraud by 80%

Built an AI-powered ride-hailing platform with real-time driver verification using computer vision and automated insurance integration.

Read Case Study

VIA Consulting

Enterprise Azure Data Pipeline

Reporting time reduced from days to hours

Designed and deployed a full ETL pipeline on Azure Synapse migrating Blob Storage to Azure SQL with Power BI dashboards for real-time business insights.

Read Case Study

Frequently Asked Questions

AWS, Microsoft Azure, and Google Cloud. We recommend based on your existing stack, compliance requirements, and workload profile not on a partnership. Teams already deep in Microsoft usually land on Azure; most greenfield work goes to AWS.

An infrastructure audit, a phased migration plan with rollback at each stage, provisioning the target environment as code, moving workloads in sequence, then validation and optimization. We migrate incrementally rather than as a single cutover, so no weekend has to go perfectly.

On GitHub Actions, GitLab CI, or Azure DevOps depending on where your code lives. Automated build, test, staged promotion, and rollback plus branch protections and required checks so the pipeline enforces standards rather than just running them.

Usually by 30–50%. The savings come from right-sizing over-provisioned instances, autoscaling instead of static capacity, reserved and spot instances where workloads allow, and removing orphaned resources. You get a costed breakdown during the audit, before committing to the work.

Our target is zero. We migrate in phases with the old environment live until the new one is validated against it, and every step has a rollback path. Where a brief window is unavoidable, we schedule it with you and rehearse it beforehand.

No. Infrastructure is defined in Terraform, held in your repositories, running in your cloud accounts. We hand over runbooks and documentation and walk your team through it. Most clients keep us for optimization work because they want to, not because they have to.