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QA for advertising resource management system
Mint needed a professional QA team that could follow the Agile methodology principles, and DeviQA turned out to be the ideal partner.
Technologies and tools
Jira
TestRail
Notion
DataDog
Sentry
Flagsmith
AWS Tools / Cloudwatch / Glue / ECR
Kubernetes
ArgoCD
Druid
Apache NiFi
Kafka
Athena
Postman
Team
20 manual QA engineers, 1 data QA engineer
Project length
Since 2019
21
15+
5.5k+
major/minor bugs
2
800+
About project
MINT provides an advertising resource management platform that centralizes campaign resources, processes, workflows, and data. Advertisers use the platform to plan, execute, and monitor media campaigns. The platform uses artificial intelligence, automation, and big-data processing to support real-time campaign management. Machine learning supports media planning, resource allocation, and campaign optimization.
Before DeviQA
1 huge release every 1-2 months
1 large team with an unclear scope of work
0 test cases
1-2 months to release a new feature
Convoluted and complex process of urgent bug-fix releases
Business team could review new feature only on a prod or using low-level test-data
No release documentation
With DeviQA
4-5 releases per day
~15 squads each with a straight and clear working plan
200+ e2e test cases for the whole app
2 weeks max to release a new feature
Clear and fast way to release any fix
Business team can review new features on a dedicated prod-like environment
Documentation that outlines the release process in detail

QA manager
Mint
“DeviQA has successfully conducted a comprehensive performance testing cycle. We are extremely pleased with the outcomes, which have provided us with insights into the current state of our system. DeviQA has compiled report detailing the performance testing results, encompassing all aspects such as test parameters, user load, response times, and any errors faced during the testing phase.“
Our engagement
MINT engaged DeviQA in 2019 to establish scalable QA and release processes for its advertising automation platform. The initial scope focused on restructuring development workflows, formalizing testing, and introducing Agile delivery practices. The QA team was embedded into MINT's Agile development process.
The work began with an assessment of MINT's QA, project management, and release workflows. The team defined workflows that made responsibilities, progress, and release status visible across the project. Project and release documentation was created to standardize internal processes.
As the product grew, the delivery organization was divided into separate squads, each with a defined scope and isolated sandbox environment. Independent squad workflows helped reduce feature delivery time from 1–2 months to no more than 2 weeks. Daily meetings, feature demonstrations, and retrospectives were introduced to coordinate work across squads.
Frequent requirement changes during releases created a need for earlier business validation. A dedicated production-like environment was created for user acceptance testing (UAT). The environment allows the business team to validate new features before production deployment.
Testing was incorporated into each squad's feature and release workflow. Features pass through documented testing and business-validation stages before release. The resulting process supports 4–5 releases per day across multiple squads. QA engineers collaborate with developers to test features, integrations, fixes, and release candidates.
A team of 21 QA engineers supports more than 15 product squads. Each squad has defined QA responsibility for its features and integrations. Across the engagement, the team has supported 800+ releases and reported 5,500+ defects.
Services provided
Services
Web testing
The team reported 5,500+ major and higher-priority defects, supported 800+ releases, and tested two localized versions of MINT's web platform.
Services
Web testing
The team reported 5,500+ major and higher-priority defects, supported 800+ releases, and tested two localized versions of MINT's web platform.
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