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 Native App Development
on AWS and Azure
Containerised, event-driven applications built for scale and load tested by the same team before release. We design microservices and serverless systems on AWS and Azure, with CI/CD and observability built in from the first sprint.
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 We Build
Applications designed for the cloud from the first line of code, and proven under load before launch.
Containerised Microservices
Services that ship in containers, scale on their own and fail without taking the rest of the system down. Built on Docker and Kubernetes, with multi-region deployment where uptime demands it.
Serverless and Event-Driven
Serverless functions, queues and event streams that absorb traffic spikes, cut idle infrastructure cost and let teams ship features without waiting on servers.
Load Tested Before Release
The team that builds it load tests it, so the scale questions a large customer asks are answered with results before go-live, not promises after it.
Cloud native is proven under load, not on an architecture slide.
Free Environment ReviewProblems We Fix
The four things that hold growing products back, and what replaces each one.
Monolith Slowdown
Monoliths re-architected into microservices, moved through cloud migration and modernisation.
Failed Deploys
Outages and broken rollouts replaced by CI/CD pipelines and resilient infrastructure with rollback.
Traffic Spikes
Auto-scaling containers and event-driven design that hold steady when demand jumps.
Compliance Gaps
Architectures designed for GDPR, HIPAA and ISO/IEC 27001 controls from the start.
Built In From the First Sprint
The operating basics are part of the build, not a later project.
CI/CD Pipelines
Build, test and deploy on every change, set up with DevOps consulting and CI/CD.
Orchestration
Kubernetes, Helm and auto-scaling tuned to real load for high availability.
Observability
Logs, metrics and traces with alerts routed to an owner, so issues surface early.
Secure by Design
Identity, secrets and network rules set in code, then checked by cloud security testing.
Results From Delivery
Regulated, high-volume systems, built and load tested by the same team.
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 scale through tested services and controlled releases, not heroics.
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 Build Starts
One environment reviewed, one service live, then scale with evidence.
Environment Review
A free review of one environment: what runs today, where it strains and what it costs.
Architecture Plan
Services, data and platform choices written down. Wider strategy runs through cloud consulting and strategy.
First Service Live
One service built, deployed through the pipeline and load tested, so the pattern is proven.
Scale or Hand Over
Extend to more services, train your team, or hand day two to managed cloud services.
Why Teams Choose Vervali for Cloud Native
Engineers who build and test the same system, so scale is shown, not claimed.
Testing Lab Discipline
An ISO/IEC 17025 accredited lab with CMMI Level 3 process, so load, regression and security checks are planned and repeatable.
AWS and Azure
We build on AWS and Azure, and take on the wider product, including multi-tenant SaaS, 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 your roadmap.
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. For cloud native apps it also covers how containers scale, how services recover when one fails and how events behave under a spike. We run those checks before every major release.
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 cloud native builds run on AWS and Azure. We keep services containerised and infrastructure in code, so the application is not locked to one provider's tooling when your business needs change.
Common choices include JMeter and k6 for load, Selenium, Playwright and Cypress for UI, Postman for APIs and OWASP ZAP for security. For cloud native systems we add chaos tests that kill pods and throttle services to prove resilience. The tool matters less than running it in the pipeline, on every build, against a production-like environment.
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. We automate functional, load and regression checks before UAT, so business users spend their time on real acceptance decisions.
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. On a cloud native build that work starts on day one, so every service ships through the same tested pipeline from its first release.
No. AI speeds up parts of the work, such as drafting Dockerfiles, infrastructure templates and pipeline scripts, but someone still has to own a failed deploy, set scaling rules and decide when to roll back. AI makes DevOps teams faster. It does not replace the judgement and accountability a production system needs, which is why every service we build has a named owner.
Yes. Cloud native applications depend on DevOps to run at all: containers need orchestration, services need pipelines and every release needs monitoring. Demand has moved from building pipelines from scratch to running secure, tested releases across many services. That is why our cloud native builds include the pipelines, observability and runbooks your team needs to operate them.
The 7 C's usually describe the DevOps lifecycle: continuous development, continuous integration, continuous testing, continuous deployment, continuous feedback, continuous monitoring and continuous operations. Cloud native apps rely on all seven, because many small services release often and independently. We set up the pipelines, tests and monitoring behind each stage as part of the build, with continuous testing taken most seriously.
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