Client Overview
The client is one of the world’s oldest, largest, and reputed public broadcasting organization. It creates cutting-edge content that is engaging, educational, award-winning, and always pushes creative boundaries. Mindtree is the sole partner-of-choice for quality engineering services for the client's digital media services.
Client Business Challenges
The client needed a makeover of its core services, applications, and solutions to compete with global content providers with a strong content catalog, deep pockets, and a huge viewer base. Some of the challenges the client faced were:
- Sustain and increase market share: The client is a leader in its home market, but is increasingly facing competition from online content providers and Over-the-Top (OTT) platforms amidst rapidly changing audience consumption patterns. It needs to provide compelling content experiences to capture viewer attention and market share
- Provide high-quality content at lower costs: The firm is constantly striving to deliver high quality content to a wider audience while minimizing costs
- Increase online and on-demand content consumption: The organization aims to power the next generation of audio/video (AV) on-demand content consumption across TV, mobile, web, set-top boxes, consoles, other devices, and access methods.
Mindtree’s Quality Engineering Services
The client embarked on a multi-year transformational journey overhauling its legacy systems and migrating to the state-of-the-art infrastructure and architecture on the cloud. This required in-depth testing across the client’s content supply chain – from content ingestion to final delivery on a viewer’s device. Mindtree managed the quality engineering requirements of the client’s content pipeline, which includes:
- 60+ content workflows, 300+ micro-services, billions of annual program requests, over 80,000 annual content hours and terabytes of metadata
- Device certification for proprietary media player functionality across 300+ TVs/Gaming Devices, 50+ Mobiles and Tablets every year
- Efficient usage of consumer bandwidth, Adaptive Bit Rate (ABR) and Digital Rights Management (DRM)
- Non-functional testing such as accessibility, performance, GDPR compliance, personalization tests, and multilingual tests
Solution Highlights
Mindtree provided quality engineering services and developed 20+ test accelerators across multiple distributed agile teams that serve multiple geographies. Key solutions delivered by Mindtree:
- Designed and rolled out a customized test strategy blueprint for digital projects
- Developed a common test strategy for different divisions by analyzing the client’s testing processes, suggesting area of improvements viz-a-viz industry standards
- Partnered in continuous deployment strategies-bringing down production deployment times from three to four weeks to several times a day
- Developed custom automation frameworks across Web, Mobile, Desktop, Cloud, and Data covering all layers of testing like Unit, Functional, UI, API, Non-Functional Requirements, Performance, Regression and Data Transformations
- Developed multiple test accelerators and frameworks leveraging Voice, Chatbots, RPA, Analytics, AI/ML and Cloud
- Provided event-based test automation to cope with asynchronous and stateless workflows
- Exposed test automation services through a self-service portal, enabling faster testing cycles
Client Benefits
Mindtree’s innovative quality engineering services delivered:
- Improved viewer experience, content stickiness and engagement
- Approximately 40% YoY increase in average weekly viewing minutes on the OTT platform
- 70% faster testing cycles and 80% automation coverage across heterogenous technologies
- 60% Total Cost of Ownership reduction for quality engineering.
Technology Landscape
Applications
- Java, Groovy, Node.JS
- Microservices
- Optimizely, ATI, Airship
- Akamai, Redis
- Jenkins, OpenStack, AWS services, Dockers
- Hadoop, Spark
Tools
- WebdriverIO, Appium, Espresso, Nightwatch, Cypress
- Postman, Puppeteer, BrowserStack
- Gatling, Jmeter, Ansible
- Testrail, Jira, GitHub
- Wit.AI, AI/ML – Node and Python Libraries
- APIs: Slack, Jira, Salesforce, TestRail
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