AWS, Azure, GCP, or hybrid — every cloud migration introduces risk that staging can't reproduce. We validate data integrity, integration paths, performance baselines, and rollback procedures before cutover, so the move to cloud doesn't become an outage.
Cloud migrations carry hidden risk: data drift between source and target, integration latency you didn't model, performance baselines that move under cloud-native infrastructure, and rollback paths nobody actually tested.
We validate both directions — forward migration AND rollback — across data, integrations, performance, and security. The deliverable is a migration readiness report that says cutover-ready or hold, with specific remediation steps if it's the latter.
Source environment
Target environment
Source platform
Target platform
Source cloud
Target cloud
Six layers of validation that turn migration anxiety into cutover confidence.
Row-count parity, field-level comparison, and data-type fidelity checks between source and target — including transformations applied during migration.
Every upstream and downstream integration validated end-to-end on the new platform — payment gateways, identity providers, third-party services, internal microservices.
Pre- and post-migration performance benchmarks across response time, throughput, and resource utilisation. Catch degradation before users do.
Most teams test forward migration and assume rollback works. We test both — so a botched cutover doesn't trap you on a half-migrated platform.
IAM, secrets management, encryption-at-rest, encryption-in-transit, audit logging — validated against your compliance posture (SOC 2, HIPAA, PCI, etc.).
A structured Go / No-Go report covering all migration domains. Stakeholders sign off with data, not assumptions.
From simple lift-and-shift to full re-architecture — we adapt validation depth to the migration pattern.
Moving workloads to cloud with minimal changes. Validation focuses on infrastructure parity, network performance, and data integrity.
Minor architecture tweaks during migration — managed databases, container orchestration, cloud-native auth. Validation extends to the changed layers.
Significant rework to leverage cloud-native services — serverless, event-driven, microservices. Validation expands to behavioural equivalence.
Migration between cloud providers (AWS ↔ Azure, GCP ↔ AWS, multi-cloud consolidation). Validation focuses on provider-specific service equivalents.
Issues that look fine in staging but break in production at cutover. Every one of these has shown up in real client engagements.
Source data changes during the migration window. Without continuous validation, drift slips through and corrupts the target.
OAuth tokens, API keys, and IAM roles often differ between environments. Integrations that worked in staging fail in production.
Cloud-native infrastructure performs differently. Response times can degrade 2-3x post-migration without proper baselining.
Rollback procedures rarely get end-to-end tested. When a migration fails, teams discover the rollback is also broken.
Encryption, audit logging, and access controls behave differently on cloud services. Compliance posture can quietly regress.
Egress fees, idle resources, and inefficient queries can 2-5x your cloud bill post-migration. We baseline cost-per-transaction.
From scoping to post-cutover monitoring — every engagement follows the same discipline.
Map source/target architecture, identify critical paths, and weight by business risk.
Baseline performance, validate test data, verify integration accounts, dry-run rollback.
Live monitoring of data parity, integration health, and rollback readiness during the cutover window.
End-to-end critical path validation, performance comparison, and security/compliance re-validation.
Cutover readiness report with risk score, open findings, and a clear Go / Hold / Rollback recommendation.
Book a free migration risk review. We'll look at your migration plan, identify high-risk gaps, and recommend a validation scope — at no cost.