Cloud Migration
Lift-and-shift, re-platform, and re-architect migrations to AWS, Azure, and GCP. Phased parallel approach — zero downtime and full rollback capability at every phase.
ValueCoders modernises legacy applications using a phased parallel approach — monolith-to-microservices, cloud migration, re-platforming — keeping your production systems running without disruption.
Let's talk about what you're building.
A real consultant reads every brief and replies within 8 hours.
The delivery problem
ValueCoders provides legacy modernization with contractual delivery commitments embedded in your workflow with a 10-day replacement guarantee.
Every engagement starts with a written scope document. Changes tracked before any cost impact.
Every engineer reviewed for seniority, stack depth, and fit. No bait-and-switch after signing.
94% on-time delivery in every engagement. Engineer replacement in 10 business days if performance falls short.
The problem is rarely the technical skill. It is unclear scope, bait-and-switch seniority, and no contractual recourse when delivery falls short.
Enterprises running applications on 10+ year old platforms
Gartner Legacy Application Report, 2025Annual cost of technical debt across global enterprises
McKinsey Technology Report, 2025Infrastructure cost reduction after cloud-native migration
AWS Cloud Economics, 2025Faster feature delivery after legacy modernisation
DORA State of DevOps, 2025Lift-and-shift, re-platform, and re-architect migrations to AWS, Azure, and GCP. Phased parallel approach — zero downtime and full rollback capability at every phase.
Strangler fig pattern, domain-driven decomposition, and API gateway design. Service extraction running in parallel with monolith operations.
.NET Framework to .NET Core, Java 8 to Java 17+, PHP to modern frameworks — incremental migration with production continuity maintained throughout.
CI/CD pipeline implementation, infrastructure-as-code, containerisation, and Kubernetes migration. Deployment frequency measurably increased within the first 4 weeks.
Oracle to PostgreSQL, SQL Server to Aurora, and NoSQL migrations. Schema redesign, data migration, and performance optimisation with zero data loss.
A 2-week structured assessment of your legacy estate — technical debt map, risk register, prioritised modernisation roadmap, and cost estimate.
How it works
45-minute call with a solution architect. We define scope, stack, team composition, and timeline. Written scope proposal within 48 hours.
Individually assessed engineer profiles within 48 hours — reviewed for seniority, stack depth, and fit against your brief.
You interview directly. Technical depth and communication style assessed. The hire decision is always yours.
Engineer joins your sprint cadence on day one. First committed delivery within week one. Meaningful production contribution within two weeks.
What you get
Production outages during our migrations
Zero-downtime approach standardAverage infrastructure cost reduction
Post cloud-native migrationOn-time delivery rate
Rolling 12-month averageFaster feature delivery post-modernisation
Avg across completed projectsOn-time delivery written into every engagement. Engineer replacement in 10 business days. Scope changes tracked and agreed before any cost or timeline impact.
Sprint reports, demo recordings, and risk flags every week — you see working software, not status meetings about working software.
Every engineer individually reviewed for seniority and stack depth before placement. The profile you approve is who shows up.
Documented architecture, clean codebases, and deployment runbooks delivered at handover — your team can own it without mystery.
Everything built belongs entirely to you — no licensing, no shared ownership, no lock-in after the engagement ends.
Start with one engineer, scale to a full delivery team. Expand in two weeks, scale down with 30 days notice — no penalties.
Results
Decade-old monolith modernised to cloud-native — zero downtime
PropTechA phased migration in parallel with the live platform — 40,000 users moved with zero downtime and 60% faster page performance.
Read case studyLegacy lending platform re-platformed to microservices in 16 weeks
FinTechStrangler-fig decomposition of a monolithic lending platform — production kept running throughout, with each service extracted and tested in parallel.
Read case studyHIPAA-compliant legacy data platform migrated to AWS — zero data loss
HealthTechComplete data platform migration maintaining HIPAA compliance throughout — clinical workflows unaffected during the entire migration.
Read case studyWhy ValueCoders
We send engineers with delivery commitments attached — on-time delivery and replacement terms with defined contractual consequences if missed.
Every engineer individually assessed for seniority, stack depth, and project fit — not staffed from bench availability.
94% on-time delivery is tracked, published quarterly, and independently verifiable — not a claim on a landing page.
68% of clients extend beyond initial scope. Clean handovers, documented architecture, and retained knowledge mean the second engagement starts faster.
Client perspectives
We had been told by two other vendors that we needed a 6-month big-bang migration. ValueCoders proposed a phased approach that kept production running throughout. 40,000 users moved with zero downtime. The board could not believe it was done.
The engineers knew our stack from day one. No ramp-up surprises, no gaps in seniority. Meaningful code by end of week two.
Sarah Clarke VP Engineering, PropertyMe Verified on ClutchWe had a hard HIPAA deadline. ValueCoders flagged three risks in week two that could have cost us six months. Delivered on schedule.
Raj Kumar Head of Product, Innovaccer Verified on ClutchThree months in and I still have not had a we will look into it without a follow-up. The weekly reports actually tell you something useful.
Alicia Lawson COO, Nerdio Verified on ClutchCommon questions
We use the strangler fig pattern — building modernised components alongside the legacy system and incrementally routing traffic as each component is validated. The legacy system stays live until every component is tested. Each cutover phase includes a tested rollback procedure.
A single-service extraction or cloud lift-and-shift takes 6-12 weeks. A full monolith-to-microservices migration of medium complexity takes 16-32 weeks in phases. Database migrations take 8-16 weeks. All timelines include a legacy assessment phase before migration work begins.
Yes. We specifically assess legacy system expertise during engineer selection. Our modernisation engineers have worked with .NET Framework, Java EE, COBOL, Oracle, WebSphere, and decades-old PHP in production. Understanding the legacy system is half the job.
Ready to build
Tell us what you are building and we will send a written proposal within 48 hours. 2,500+ projects, 20+ years.
No obligation. Speak directly with a solution expert.
No spam. No SDR. Your details go directly to a solution expert.