Amazon Web Services
- EC2
- RDS
- S3
- Lambda
- ECS/EKS
- CloudFront
- Route 53
- IAM
The broadest set of managed services and the largest ecosystem. Our default recommendation for most workloads.
Innostax migrates on-premise systems, legacy infrastructure, and monolithic applications to AWS, Azure, or GCP — phased, validated, and with old and new environments running in parallel until the migration is confirmed complete. A dedicated Tech Lead owns every stage.
Why cloud migrations fail
Cloud migration is one of the most complex infrastructure operations an engineering team undertakes. The technical work — provisioning cloud infrastructure, moving data, reconfiguring applications — is the part that looks hardest from the outside. It’s rarely where migrations go wrong.
Migrations go wrong in the planning: scope that wasn’t fully assessed before the migration began, dependencies that weren’t mapped, data integrity assumptions that turned out to be wrong, and business continuity requirements that weren’t accounted for until the cutover was already in progress.
The result is the same pattern, repeated across the industry: a migration that was scoped for three months takes nine.
A cutover window that was planned for a weekend extends into a week. Data that was supposed to migrate cleanly arrives with integrity issues that take weeks to resolve. And a business that was supposed to be on modern cloud infrastructure is instead running in a half-migrated state that’s more complex to manage than what it replaced.
Innostax migrates cloud infrastructure with assessment before architecture, architecture before code, and old and new environments running in parallel until the migration is confirmed complete. No big-bang cutovers. No surprises in week eight that should have been found in week one.
During the assessment, the Tech Lead evaluates your infrastructure against your business requirements and recommends the approach that delivers the most value for the least risk.
Moving your existing workloads to cloud infrastructure with minimal changes to the application layer. The fastest path to cloud — appropriate when the primary goal is eliminating on-premise infrastructure overhead and the application layer doesn’t need to change to benefit from cloud hosting.
Moving to cloud with targeted optimisations — managed database services instead of self-managed, auto-scaling instead of fixed capacity, cloud-native logging and monitoring instead of on-premise equivalents. More value than a pure lift-and-shift, less risk than a full re-architecture.
Restructuring the application to take full advantage of cloud-native capabilities — containerisation, serverless functions, managed services, event-driven architecture. The highest-value migration approach and the most complex. Right for systems where the current architecture is a constraint on what the business needs to do next.
Moving databases from on-premise to cloud-managed equivalents — RDS, Cloud SQL, Azure Database — with data integrity validated at every stage. Often the highest-risk component of a cloud migration and the one that requires the most careful planning.
Replacing on-premise integration middleware with cloud-native alternatives. Often the highest-ROI component of a cloud migration — as the Online Education Platform case study below demonstrates.
Assessment first. Parallel environments. Validated cutover.
Before we recommend anything, we map what you have — every workload, every dependency, every integration, every data store. The assessment surfaces the migration risks, the sequencing requirements, and the business continuity constraints that determine the migration plan. Scope defined before migration begins, not discovered during it.
The Tech Lead designs the target cloud architecture — sized for your actual workloads, designed for the scale you’re planning for, and with the security and compliance requirements of your industry built in. Infrastructure as code from day one — every resource version-controlled, every environment reproducible.
Before any production workload moves, the target cloud environment is built, configured, and validated. Old and new environments run in parallel — data replicated between them — so your business operations continue on the existing infrastructure while the migration is validated.
Workloads migrate in phases, sequenced by the dependency map from the assessment. Each phase is validated before the next begins. Non-critical workloads migrate first — giving the team confidence in the process and the environment before production-critical systems move.
The production cutover is planned, rehearsed, and executed in a defined window. Data integrity is validated before the old environment is decommissioned. Rollback procedures are prepared and tested before the cutover begins — because a migration that can’t be reversed if something goes wrong is a migration that shouldn’t proceed.
After the migration completes, we right-size the cloud infrastructure — adjusting instance sizes, configuring auto-scaling, optimising data transfer costs, and establishing the monitoring and alerting that gives your team visibility into the new environment.
Cloud platforms
We recommend the target cloud based on your workloads, compliance needs, current team skills, and the migration path that creates the least business risk.
The broadest set of managed services and the largest ecosystem. Our default recommendation for most workloads.
The right choice for organisations with existing Microsoft infrastructure or compliance requirements that align with Azure’s certification portfolio.
Particularly strong for data-intensive workloads and organisations already invested in Google’s data and analytics stack.
For organisations with workloads that span providers, or that need to avoid single-cloud dependency. We design multi-cloud architectures that don’t create more complexity than the single-cloud risk they’re designed to avoid.
Before we recommend a migration approach or timeline, we understand your infrastructure. The assessment surfaces the real risks and the right sequencing — so you’re not committing to a scope defined before anyone mapped what’s actually there.
If the engagement isn’t delivering at any stage, you’re out tomorrow. Cloud migrations go wrong when clients are locked into a vendor who’s already spent the budget. We remove that leverage entirely.
Great Place to Work certified — the engineer who maps your infrastructure in week one is still accountable for the cutover in month six. Migration continuity isn’t a nice-to-have. An engineer who has to rediscover your dependency map mid-migration is a risk to your timeline.
CTOs and infrastructure leads at companies on ageing on-premise infrastructure — maintenance costs are growing, scaling is manual and slow, and the engineering team is spending too much time keeping the lights on. Cloud migration is the right move. The question is how to do it without disrupting the business.
Engineering teams facing a significant licence renewal — on-premise infrastructure software, integration middleware, or database licences that are due for renewal at a cost that’s hard to justify. Migration is often the better investment.
Scale-ups whose infrastructure was designed for a fraction of their current load — the infrastructure that worked at Series A is starting to show its limits at Series B. Cloud migration is the path to the elastic scaling your growth requires.
Regulated industries — FinTech, HealthTech, and other regulated sectors where cloud migration needs to be planned around compliance requirements. We design cloud architectures with the security controls and audit capabilities that regulated workloads require.
CLIENT OUTCOMES
Technique
Full Azure migration • Zero data loss
Technique needed to migrate to Azure with Power Automate workflows replacing manual processes. Innostax planned and executed the migration — 100% successful, zero data loss, with the new automated workflows reducing manual work by 85–90%. A complex infrastructure migration delivered without business disruption, on a platform that continues to run cleanly.
Online Education Platform
$300K+ Saved
The platform’s on-premise Mulesoft integration layer was facing a $300,000 renewal. Innostax assessed the architecture, migrated the integration layer to a cloud-native alternative built in-house, and eliminated the fee entirely. The right migration decision — moving the integration layer, not the entire application — saved $300,000 in year one and millions over three years.
Tech Stack
The Tech Lead selects the right combination from this stack based on your product requirements, scale targets, and integration needs.
It depends entirely on the scope — which is why we start with an assessment rather than a proposal. A straightforward rehost of a small application might take 4–6 weeks. A full re-architecture of a complex system with multiple databases and integrations might take 6–12 months. We'll give you a realistic timeline after the assessment, not before.
Old and new environments run in parallel — data replicated between them — so your business operations continue on the existing infrastructure while the migration is validated. Workloads migrate in phases, sequenced by criticality. The production cutover is planned, rehearsed, and executed in a defined window with rollback procedures tested before the cutover begins.
It depends on your existing infrastructure, your team's familiarity, your compliance requirements, and your workload characteristics. AWS is our default recommendation for most workloads — broadest service coverage, largest ecosystem. Azure is the right choice for organisations with existing Microsoft infrastructure. GCP is strong for data-intensive workloads. We'll make a clear recommendation during the assessment with the reasoning behind it.
Data integrity is treated as the highest-priority constraint throughout the migration. We validate data integrity at every phase, run old and new environments in parallel until the migration is confirmed complete, and test edge cases explicitly before decommissioning the old environment. The Technique migration — 100% successful, zero data loss — is the standard we hold ourselves to.
Yes. For FinTech, HealthTech, and other regulated industries, we design the target cloud architecture with the security controls, encryption requirements, audit logging, and access management that your compliance framework requires. Compliance requirements are assessed alongside technical requirements — not addressed after the architecture is already designed.
Yes — and it's often the right approach. Migrating the highest-value or highest-cost components first delivers ROI faster than waiting for a full migration to complete. The assessment identifies which components will benefit most from migration and sequences the work accordingly.