Move with purpose
Assess rehosting or relocation where a change of environment serves the business goal.
What to establishDefine compatibility, service expectations, and the cutover boundary.
CLOUD MIGRATION & MODERNIZATION / TRAVINTO
Modernize the foundation.
Open what’s next.
Cloud migration and modernization consulting for applications, data platforms, pipelines, and BI—with a clear path to operating and improving the target environment.
Start with your business priorities and existing estate. Shape the right migration path, validate what matters, and connect the platform to your next Data & AI opportunity.
ASSESS → MODERNIZE → OPERATEA considered move.
A stronger foundation.
A stronger foundation.
START WITH THE CHANGE YOU NEED
Your estate.
Your modernization path.
The right path depends on the workload, its users, and its dependencies. Migration and modernization can happen in different stages.
Modernize the platform
Explore managed services, data platform redesign, and focused application refactoring.
What to establishValidate business logic, interfaces, performance, and operational responsibilities.
Enable Data & AI
Prepare governed data, reliable integration, and suitable platform services for intelligence use cases.
What to establishConnect the target platform to data quality, access, and AI readiness.
A portfolio review may also identify workloads to retain, retire, or replace. Moving everything is not the default objective.
CLOUD CONSULTING & ENGINEERING
The work behind
a successful transition.
Explore the decisions and typical outputs to discuss. Selected services, technology support, responsibilities, and deliverables are agreed for each engagement.
Portfolio discovery & readiness
Know what moves—and what depends on it.
Scope & typical outputs
Inventory applications, databases, jobs, interfaces, owners, licenses, and service expectations. Map dependencies and prioritize workloads against readiness and business value.
Typical output: Readiness assessment, dependency map, and a migration backlog.
Explore related expertise ↗Cloud foundations & landing zones
Prepare the destination before the move.
Scope & typical outputs
Define identity, networking, environment separation, policy, logging, access boundaries, and infrastructure delivery. Plan connectivity and shared-service responsibilities.
Typical output: Foundation blueprint, control requirements, and environment acceptance checks.
Explore related expertise ↗Data platform migration
Preserve the meaning behind the records.
Scope & typical outputs
Plan database, warehouse, and lakehouse transition with schema mappings, history, incremental change, reconciliation, and consumer compatibility.
Typical output: Mapping specifications, transfer sequence, and reconciliation criteria.
Explore related expertise ↗Application & workload modernization
Choose the right amount of change.
Scope & typical outputs
Evaluate rehosting, managed-service adoption, and application refactoring. Consider dependencies, runtime behavior, performance, operational ownership, and testing effort.
Typical output: Target workload design, change scope, and a validation plan.
Explore related expertise ↗Code, pipeline & BI conversion
Protect business logic and metric definitions.
Scope & typical outputs
Assess SQL dialects, transformation jobs, orchestration, reports, calculations, and semantic models. Track unsupported patterns and reviewed differences.
Typical output: Conversion proposals, regression checks, and business acceptance evidence.
Explore related expertise ↗Migration waves & cutover
Make the transition deliberate.
Scope & typical outputs
Group dependencies, sequence waves, rehearse transfer, define coexistence, and establish go/no-go and rollback criteria with accountable owners.
Typical output: Wave plan, cutover runbook, acceptance checklist, and recovery approach.
Explore related expertise ↗Reliability, security & recovery
Design for the operating day.
Scope & typical outputs
Set access controls, monitoring, backup and restore, incident escalation, recovery objectives, and operational handoffs for the selected workloads.
Typical output: Operating responsibilities, restore checks, and support runbooks.
Explore related expertise ↗FinOps & continuous improvement
Make cost and performance visible.
Scope & typical outputs
Establish usage baselines, ownership tags, budgets, rightsizing reviews, storage lifecycle decisions, and cost-to-workload reporting. Validate changes against service needs.
Typical output: Cost baseline, review cadence, and a prioritized optimization backlog.
Explore related expertise ↗SOURCE TO TARGET / A CONNECTED VIEW
Plan the destination.
Control the transition.
An architecture connecting the existing estate, migration controls, and the target operating environment.
ONE WAVE / A CLEAR DECISION PATH
A controlled move.
Evidence at each gate.
Explore the responsibilities around a migration wave—from an agreed scope to an accepted operating service.
delivery framework. Timing, downtime targets, and acceptance criteria depend on the selected workloads.
Explore architecture consultancy ↗FROM SCOPE TO ACCEPTANCE
Make every handoff explicit.
UNDERSTAND THE STARTING POINT
Workload scope
Application, data, jobs, interfaces, and downstream consumers.
Business boundaries
Owner, service windows, critical periods, and acceptable disruption.
Dependencies
Identity, network paths, licenses, integrations, and source constraints.
TEST BEFORE THE TRANSITION
Prepare the target
Validate access, connectivity, capacity, and foundation controls.
Prove the transfer
Test representative data, logic, performance, and consumer behavior.
Decide the cutover
Review reconciliation, unresolved exceptions, and rollback readiness.
OWN THE OUTCOME
Confirm acceptance
Record business approval and the status of remaining issues.
Hand over operations
Assign monitoring, recovery, escalation, and support ownership.
Review the baseline
Measure cost, performance, reliability, and further modernization needs.
THE DOMAIN CHANGES THE PLAN
Modernization in
your business context.
priorities to explore—not customer results or deployment claims.
Banking & financial services / CONTEXTPreserve controls and reporting meaning.
Assess sensitive data access, transaction history, reporting dependencies, reconciliation, and service windows.
Explore industry architecture ↗
Retail & consumer / CONTEXTPlan around the trading rhythm.
Assess catalog, order, stock, and BI dependencies; evaluate peak periods, inventory semantics, and consumer acceptance.
Explore industry architecture ↗
Manufacturing / CONTEXTConnect plant and enterprise priorities.
Assess site connectivity, operational interfaces, equipment history, and which workloads should remain close to operations.
Explore industry architecture ↗TRAVINTO PRODUCTS
Migration thinking.
Connected products.
These proposed experiences support discovery conversations. Availability, compatibility, and execution capabilities require confirmation.
TRAVINTO / PRODUCTX2X Code Converter
Code & pipeline modernization
Explore reviewable conversion drafts and validation proposals.
Explore the product ↗TRAVINTO / PRODUCTX2X Data Migrator
Data platform transition
Explore mappings, reconciliation, and controlled cutover.
Explore the product ↗TRAVINTO / PRODUCTX2X BI Migrator
BI & reporting modernization
Explore semantic mappings and business acceptance.
Explore the product ↗TRAVINTO / PRODUCTAxiom Migration
Migration planning
Explore structured inventory, conversion, and acceptance workflows.
Explore the product ↗BEFORE THE MOVE
Clear priorities.
Informed decisions.
How is cloud modernization different from migration?
Migration moves a workload to a new environment. Modernization changes how it is built or operated, such as adopting managed data services, redesigning application boundaries, or improving delivery and monitoring. A workload assessment determines the appropriate combination.
Does every workload need to move to the cloud?
No. Discovery may identify workloads to retain, retire, replace, relocate, rehost, replatform, or refactor. The choice depends on business value, dependencies, licensing, data requirements, operational constraints, and cost.
Can you guarantee zero downtime or lower cost?
No universal guarantee is appropriate. Availability targets, cutover windows, recovery requirements, and cost baselines must be agreed for the workload. Rehearsal, replication design, testing, and rollback planning help establish a realistic transition plan.
How do you validate a data platform migration?
Define source-to-target mappings, consistent comparison windows, record and aggregate checks, metric semantics, permissions, performance, and consumer acceptance. Investigate discrepancies and record approved exceptions before the cutover decision.
How do you choose the target cloud or deployment model?
Assess required services, data location, integration, skills, licensing, security, resilience, and operating costs. Public cloud, private infrastructure, and hybrid arrangements should be compared against the actual workload needs.
Are the migration products released tools?
The product workspaces shown on this site are designs unless explicitly stated otherwise. Availability, connectors, source and target coverage, execution capabilities, and implementation scope require confirmation during assessment.
CONNECT THE LANDSCAPE
The foundation for
your next chapter.
Migration preserves business intent
Explore dependencies, validation, coexistence, and cutover.
Explore more ↗Data & AI landscape
Connect migration to the broader enterprise information foundation.
Explore more ↗Governance & ownership
Bring access, quality, stewardship, and lifecycle requirements into the plan.
Explore more ↗Architecture & readiness
Scope a useful first assessment around your estate.
Explore more ↗YOUR NEXT PRACTICAL STEP
Understand the estate.
Shape the right move.
Bring your workload priorities, current platforms, known constraints, and target outcomes. Explore the architecture, delivery scope, and evidence needed for a controlled transition.
Start a modernization conversation ↗