Cloud that moves as fast as your AI ambitions.
At IBaseIT, we believe that cloud is not a destination. It is an operating model. For 14+ years we have migrated, modernized, and re-architected enterprise technology. Now we do it with AI on the Move embedded from day one so that every cloud investment becomes a launchpad for the intelligence your business needs to outpace the market.
The cloud is not
the upgrade.
What you build on it is.
Most cloud migrations move the problem, not solve it completely. At IBaseIT, we re-architect, re-engineer, and rebuild for what cloud infrastructure was actually designed to do: scale elastically, deploy continuously, and run the AI workloads that your business depends on. Simplicity that Solves. AI that Enables.
Migration done right. Not just done fast.
A cloud migration without a strategy is just an expensive hosting change.
At IBase IT over the last 14+ years in enterprise delivery we have witnessed and faced everycloud challenge.
We therefore approach cloud migration as a business transformation programme, starting with a structured discovery of your full technology estate, building a rigorous business case, and executing in carefully sequenced waves that deliver measurable value at every stage without disrupting the operations your business runs on.
Migration approach selection
We select the right strategy for every workload rehost where speed matters, replatform where quick wins exist, refactor where business value justifies it, and retire what no longer serves the business.
Business case & ROI modelling
A financial model for every migration wave total cost of ownership comparison, projected savings, risk-adjusted timelines, and the ROI case that justifies the investment to the board and the CFO.
AI-ready by design
We migrate with AI workloads as a first-class requirement GPU configurations, MLOps infrastructure, data pipeline architecture, and model serving capability built into the target state from day one.
Rehost — Lift and Shift
Move workloads to cloud with minimal change and experience the fastest path to cloud cost savings and the right choice for stable workloads where refactoring cost exceeds business benefit.
Replatform — Lift and Reshape
Witness targeted optimizations during migration moving to managed database services, containerising applications, or adopting cloud-native caching without a full rebuild.
Refactor — Re-architect
Fundamental re-engineering for cloud-native architecture — microservices, serverless, and event-driven patterns that unlock elastic scalability and AI integration capability.
Retire & Replace
Decommissioning legacy applications with no cloud-era equivalent and replacing with SaaS or purpose-built cloud-native alternatives reducing estate complexity and ongoing maintenance burden.
Full estate assessment & dependency mapping
Every application catalogued, every dependency mapped, every migration risk surfaced — before a single workload moves.
Target architecture & migration sequencing
Target cloud architecture designed with AI-readiness built in. Migration waves sequenced by dependency, risk, and business value.
Phased migration with production continuity
Wave-based execution with proven rollback capability, parallel running where required, and zero unplanned production disruption.
FinOps governance & continuous optimisation
Cloud spend aligned to business value from day one. We deliver rightsizing, reserved capacity, and FinOps governance that prevents cloud to become expensive.
Container Architecture & Kubernetes
Applications containerized with Docker and orchestrated with Kubernetes portable, scalable, and deployable consistently across development, staging, and production environments anywhere cloud runs.
Serverless & Event-Driven Architecture
Functions-as-a-Service and event-driven patterns that scale to zero cost when idle and to infinite capacity under load eliminating the waste of provisioned infrastructure that sits underutilised.
Platform Engineering & Internal Developer Platforms
Internal developer platforms that give every engineering team self-service access to infrastructure, pipelines, and operational tooling — accelerating delivery while maintaining governance and standards.
CI/CD & GitOps
Continuous integration and deployment pipelines that automate every step from code commit to production with GitOps principles ensuring infrastructure and application state is always declared, versioned, and auditable.
Built for the cloud. Not just hosted in it.
Cloud-native is not a hosting decision. It is an architectural one.
There is a critical difference between an application hosted in the cloud and an application built for the cloud. Hosted applications carry their on-premises assumptions into the cloud — fixed capacity provisioning, monolithic deployments, manual scaling, and fragile release cycles. Cloud-native applications are designed from the start to exploit what cloud infrastructure actually offers.
We build cloud-native applications using containers, microservices, serverless functions, and event-driven architectures systems that scale automatically, deploy continuously, recover independently, and integrate seamlessly with AI services. With our Cortex developer portal embedded in every engineering team, cloud-native best practices are enforced from the first line of code.
Twelve-factor application design
Every cloud-native application we build follows twelve-factor principles — stateless processes, explicit dependencies, config in the environment, and disposable infrastructure producing systems that are portable, scalable, and maintainable by any engineer on your team.
Observability first
Logging, metrics, and distributed tracing built into every service from day one — not added when something goes wrong. Full visibility into every request across your cloud-native estate, always.
AI-native service design
Cloud-native architectures that include dedicated AI service boundaries — so embedding, updating, or replacing AI capabilities never requires re-architecting the system around it. AI on the Move from the first commit.
Security by design
Zero-trust networking, secrets management, image vulnerability scanning, and policy-as-code security controls embedded in every cloud-native deployment pipeline — not reviewed at audit time.
Any cloud. One coherent strategy.
Flexibility without any chaos. Control without any constraints.
Today most companies have a multi-cloud strategy as a strategic decision or because of mergers and acquisitions that create diverse cloud estates.Then there are also data sovereignty requirements that one needs to consider as some workloads must stay on-premises while others continue to run in the cloud.
Most organisations manage this by accident. We manage it by design with our unified governance, coherent networking, consistent security, and single-pane-of-glass observability across every cloud and every on-premises environment in your estate.
Cloud-agnostic architecture
We design applications and data platforms that are not locked into any single cloud provider — using abstraction layers, portable container standards, and cloud-agnostic tooling that gives you genuine flexibility to move workloads as economics and requirements evolve.
Unified governance & policy
Single governance layer across all cloud environments — unified identity and access management, consistent security policies enforced as code, and centralised compliance reporting regardless of which cloud a workload runs on.
Hybrid connectivity & data sovereignty
Secure, high-throughput connectivity between on-premises and cloud environments — for organisations where data sovereignty, regulatory requirements, or latency demands mean some workloads must remain on-premises while others benefit from cloud scale.
Multi-cloud cost optimisation
FinOps discipline applied across every cloud — unified spend visibility, cross-cloud commitment discount management, and workload placement optimisation that routes compute to where the economics are best for each use case.
Best-of-Cloud Architecture
Workloads placed on the cloud provider best suited to each requirement. Governance unified across all three.
Hybrid Cloud with Data Sovereignty
Sensitive data and regulated workloads kept on-premises with secure connectivity to cloud for burst capacity, AI inference, and analytics meeting data residency requirements without sacrificing cloud capability.
Disaster Recovery & Resilience
Multi-cloud disaster recovery architectures where your second cloud is your hot standby — eliminating single-provider risk, meeting RTO and RPO targets, and maintaining business continuity when a provider has an outage.
Cloud-to-Edge Continuum
Extending the multi-cloud architecture to the network edge — cloud for training and central intelligence, edge for real-time inference and local processing — the infrastructure backbone of AI on the Move.
Cloud & Platform — answered clearly.
Most commonly asked questions about cloud migration, cloud-native architecture, and multi-cloud strategy.
We built the tools. So you move faster.
Three proprietary accelerators directly support cloud and platform engagements — compressing timelines, embedding quality, and making AI the default, not the afterthought.
IBFORGE
Multi-agent autonomous modernisation preparing legacy systems for cloud migration without the three-year rewrite that blocks most cloud strategies.
Cortex
Embedded in your development environment enforcing cloud-native standards, surfacing reusable infrastructure components, and accelerating platform engineering adoption.
QATTs
Continuous cloud infrastructure testing that validates every deployment, every configuration change, and every scaling event against defined quality and security standards.
AI Growth Engine
Identify which cloud and AI investments deliver the highest ROI before committing engineering resources — building the business case that turns cloud strategy into board approval.
Outcomes across our Cloud & Platform practice.
The cloud is ready.
Is your strategy?
Our first conversation is a working session—not a sales call. We map your current estate, migration opportunities, and the fastest path to an AI-ready cloud platform.