SolutionsUse Case

Migrate to the cloud without risking outages

Validate systems before, during, and after migration. Catch regressions before customers do and migrate in phases with confidence.

  • Validate parity between environments
  • Catch regressions before customers do
  • Migrate in phases with confidence
02Yana aiki tare da tarin ku

Zof ya gamu da tarin ku inda ya riga ya gudana.

Ayyukan GitHub, GitLab CI, Jenkins, Azure DevOps, AWS, GCP, Azure, Datadog, Slack, Jira, Zof yana haɗa cikin tsarin da ƙungiyoyinku suka rigaya ke amfani da su, ba waɗanda suke so ba.

ECOSYSTEM

20 masu haɗawa

Yaɗa CI/CD, girgije, ops, da taɗi.

LOKACIN HADA

Karkashin awa daya

Daga alama zuwa siginar farko.

BUDADDIYAR SHIGA

API + webhooks

Gina haɗin gwiwar da ba mu jigilar kaya ba.

20 INTEGRATIONS/integrations
Littafin haɗin gwiwar Zof AI tare da sashin CI / CD yana nuna GitHub Actions, GitLab CI, Jenkins, CircleCI, da Azure DevOps; Sashin kayan aikin Cloud tare da AWS, Google Cloud, da Azure; tare da taƙaitaccen bayanin lafiya wanda ke nuna ƙasƙantar da sifili, kurakurai sifili, da jimlar haɗin kai 20.
Haɗin kai · /haɗin kai · 20 haši · rayuwa daga samfurin.
  • 01 · CI/CD
    • GitHub
    • GitLab
    • Jenkins
    • CircleCI
    • Azure DevOps
  • 02 · CLOUD
    • AWS
    • GCP
    • Azure

    Run agents close to your services

  • 03 · CONNECTION HEALTH
    • Healthy
    • 0 errors

    Live ecosystem telemetry

Why cloud migrations fail

Most migration failures aren't due to infrastructure complexity. They're caused by incomplete validation and unrecognized dependencies.

Hidden dependencies

Legacy systems often have undocumented dependencies that only surface during migration, causing unexpected failures.

Inconsistent behavior between environments

Subtle differences in configuration, networking, or infrastructure can cause services to behave differently, breaking integrations.

Incomplete test coverage

Existing test suites may not cover integration points, edge cases, or performance characteristics that matter in production.

High release velocity during migration

Teams continue deploying changes while migrating, multiplying the risk of introducing regressions that complicate the migration.

What changes with Zof

Systematic validation at every phase of your migration reduces risk and provides the confidence needed for enterprise-scale projects.

01

Continuous validation across legacy and cloud

Run the same validation workflows against both environments simultaneously. Identify behavioral differences before cutover.

02

Automated regression detection

AI agents continuously test critical workflows, APIs, and integrations. Catch issues in minutes, not after deployment.

03

Confidence at every migration phase

Get clear signals on migration readiness. Know when it's safe to proceed to the next phase or when to pause and address issues.

04

Clear signals on when it's safe to proceed

Quantified confidence scores based on validation coverage and results. Make data-driven decisions about migration timing.

How It Works

How Zof supports cloud migration

A systematic approach to validating migration readiness and maintaining reliability throughout the transition.

01

Map critical workflows and dependencies

Zof builds a System Graph of your environment: services, APIs, data flows, and integrations in both source and target environments. When validating migration readiness, it knows exactly what could be affected.

02

Validate behavior in source and target environments

Run identical validation workflows against legacy and cloud environments simultaneously. Compare results to identify any behavioral differences, performance variations, or integration gaps.

03

Run continuously during phased migration

As you migrate services in phases, Zof validates each migration incrementally. Test hybrid environments where some services run on-premises and others in the cloud.

04

Block risky changes before cutover

When validation detects issues, releases are gated automatically. Engineering teams get clear, actionable feedback to fix issues before they impact the migration timeline.

05

Continue validating post-migration

After cutover, maintain validation to catch any issues that surface as traffic patterns change or as teams deploy new changes to the cloud environment.

Migration Validation LoopLegacyZof AICloudSafe toProceed
Outcomes

Enterprise outcomes that matter

Metrics and capabilities that demonstrate migration success and reliability improvement.

Measurable

Reduction in migration incidents

Systematic validation catches issues before they impact production, reducing the likelihood of migration-related outages.

Up to 95%

Fewer post-migration incidents

Prevent production failures during and after migration by validating behavior parity and catching regressions early.

Up to 40%

Faster migration completion

Confidence in each migration phase enables teams to proceed faster, reducing overall migration duration.

Real-time

Migration readiness dashboards

Clear validation metrics and confidence scores provide evidence-based reporting for executive stakeholders.

Fits into your cloud stack

Works with your existing infrastructure and tooling, regardless of cloud provider or migration strategy.

01

AWS, GCP, Azure

Works seamlessly with all major cloud providers. Validate migrations regardless of your target platform.

02

CI/CD pipelines

Integrate with GitHub Actions, GitLab CI, Jenkins, and other pipelines to gate releases during migration.

03

Observability tools

Complement Datadog, New Relic, CloudWatch, and other monitoring tools with preventive validation before production.

04

Hybrid and phased migrations

Support for hybrid environments where services run partially on-premises and partially in the cloud.

Enterprise-ready and supported

Built for organizations that require security, compliance, and operational excellence during cloud transformation.

01

Guided onboarding

Dedicated migration support to help you map critical workflows and configure validation for your specific migration strategy.

02

Migration support

Expert guidance on validation strategy, phased migration planning, and risk assessment throughout your migration project.

03

Security posture

SOC 2 Type II, GDPR compliant, and SOC 2 Type II and GDPR controls. Your data and validation results remain secure.

04

Enterprise support

24/7 support, SLAs, and dedicated customer success for enterprise customers. Get help when you need it during migration.

Next step

Migrate with confidence

See how Zof validates cloud migrations and reduces risk at every phase. Book a demo to discuss your migration strategy.

Migrate to the cloud without risking outages | Zof AI