QA Testing Services for SaaS Startups: How Vervali Works
How Vervali tests a SaaS startup's product: what to test first, when to outsource, manual or automation, the monthly cost at published rates, and how the free pilot…
Cloud Migration and
Modernisation Services
Assessment, re-platforming and data migration with reconciliation and regression testing, so nothing breaks at cutover. We move legacy workloads to AWS and Azure, modernise what is worth keeping, and prove every row landed before the old system is switched off.
150+ clients
450+ projects
275+ engineers
15+ years
ISO/IEC 17025:2017Accredited testing laboratory
CMMI Maturity Level 3The process is written down and repeats
ISO 9001:2015Quality management
ISO/IEC 27001Information security
What a Migration Covers
Three phases, one team, and a cutover that is tested before anyone calls it done.
Assessment
Workloads, dependencies and data stores mapped, so you know what moves, what stays and what is too tangled to lift as it is. The plan comes with a target architecture and a cutover order.
Re-Platforming
Applications, databases and workloads moved from on-premise or hybrid to AWS or Azure, by rehosting, replatforming or refactoring, whichever fits the system and the budget.
Data Migration
Data moved with row counts, checksums and business rules reconciled, then regression tested against the old system before cutover, so nothing quietly goes missing.
A migration is finished when the data reconciles, not when the servers move.
Free Environment ReviewMigration Problems We Fix
The four reasons legacy moves stall, and what replaces each one.
High Legacy Costs
Outdated infrastructure moved to cloud-native stacks with autoscaling, so you pay for the load you actually run.
Cutover Downtime
Phased cutovers with rollback plans, parallel runs and live monitoring, so the business keeps trading.
No Cloud Skills
Certified engineers own architecture, security and DevOps, and train your team to run what they build.
Slow After Moving
Performance tuning, compliance checks and monitoring after go-live, so the new system beats the old one.
Migrate, Then Modernise
Not every system needs a rebuild. We pick the lightest path that gets you the result.
Rehost
Lift the workload as it is onto cloud infrastructure. Fastest exit from an ageing data centre.
Replatform
Swap the database, runtime or middleware for managed cloud services without rewriting the app.
Refactor
Break the monolith into microservices and containers where speed and scale justify the work.
Modernise
Add CI/CD, monitoring and serverless pieces through DevOps consulting and CI/CD.
Results From Delivery
Regulated, high-volume systems, built and tested by the team that moves them.
Two private-sector banks · Lending platforms
Loan processing and agent onboarding rebuilt for two leading private-sector banks, with the compliance each engagement required. Platforms like these only change through a named cutover, reconciled data and tested releases.
60% faster loan processing50% less agent onboarding timeDiagnostics Chain Back End
The back end for a Chennai diagnostics chain, built to carry the integrations and load that real patient volume produces.
Cybersecurity SaaS
A cybersecurity SaaS product tested under DDoS simulation, so the team knew how it fails and recovers before its customers did.
How a Migration Runs
Start with one environment, prove the method, then move the rest.
Environment Review
A free review of one environment: what runs today, what it depends on and what it costs.
Migration Plan
Target architecture, migration path per workload and cutover order. Bigger strategy calls run through cloud consulting and strategy.
Pilot Workload
One workload moved first, reconciled and regression tested, so the method is proven before scale.
Cutover and After
Phased cutover with rollback, then tuning and support, or handover to managed cloud services.
Why Teams Choose Vervali to Migrate
A testing lab that migrates, so proof is built into every cutover.
Testing Lab Discipline
An ISO/IEC 17025 accredited lab with CMMI Level 3 process, so reconciliation and regression are planned, documented and repeatable.
AWS and Azure
We build on AWS and Azure, test the account through cloud security testing, and build new products through cloud application development.
An Extension of Your Team
Working hours overlap 9am to 1pm Eastern with delivery from India, and the team scales with each migration wave.
Frequently Asked Questions
Cloud testing checks how an application behaves in the cloud environment it runs in: functional, load, security, failover and configuration tests on AWS, Azure or Google Cloud. In a migration it matters twice. We test the target environment before cutover, then reconcile data and run regression against the old system, so the move is proven rather than assumed.
The five most often named are Amazon Web Services, Microsoft Azure, Google Cloud, Alibaba Cloud and Oracle Cloud, with IBM Cloud close behind. Most of our migration work lands on AWS and Azure. The assessment looks at what you already run, your licences and your compliance needs before recommending a target, so the choice fits the estate rather than a trend.
Common choices include JMeter and k6 for load, Selenium, Playwright and Cypress for UI, Postman for APIs and OWASP ZAP for security. For migrations we add data comparison scripts that check row counts, checksums and business rules between the old and new systems. The tool matters less than running it before cutover, with a named owner for every failure.
UAT is run by business users, so the tools focus on tracking rather than scripting. Teams commonly use Jira or Azure DevOps for test cases and defects, TestRail or Zephyr for test management, and screen capture tools for feedback. In a migration we automate reconciliation and regression before UAT, so business users spend their time confirming the new system works the way they do.
A DevOps consultant reviews how your team builds, tests and releases software, then designs and puts in the improvements: CI/CD pipelines, infrastructure as code, containers, monitoring and the quality gates in between. In a migration that work turns a one-off move into a platform your team can release on every week. A free review of one environment is the usual first step.
No. AI speeds up parts of the work, such as drafting scripts, infrastructure templates and runbooks, but someone still has to own a cutover, decide when to roll back and explain why a row did not reconcile. AI makes DevOps teams faster. It does not replace the judgement and accountability a production migration needs, which is why we pair automation with named owners.
Yes. Every legacy system that moves to the cloud needs pipelines, infrastructure as code and monitoring to run well afterwards, and most teams still lack those skills in-house. Demand has shifted from building pipelines from scratch to running secure, tested releases on cloud platforms. That is why our migrations include the DevOps setup your team needs once the move is complete.
The 7 C's usually describe the DevOps lifecycle: continuous development, continuous integration, continuous testing, continuous deployment, continuous feedback, continuous monitoring and continuous operations. After a migration they are what keeps the new platform healthy. We set up the pipelines, tests and monitoring behind each one, so the system you moved keeps improving rather than becoming the next legacy estate.
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