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TCS-Google Cloud: Driving Innovation and Digital Transformation
Learn about the TCS-Google Cloud advantage and how our services can help companies achieve superior business value from their cloud transformation initiatives.
Related Insights
Using Gemini Code Assist, our SDLC solution boosts software development to build high-quality, secure applications faster and improve software delivery.
Solution
27 Aug 2024
Attend TCS and Google Cloud events to learn about business transformation with data, agentic AI, and more and how it can shape perpetually adaptive enterprises.
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02 Jun 2025
Visit our booth at Google Cloud Next to connect with our experts and explore our AI and data solutions that drive growth and shape the future of your enterprise.
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Highlights
- TCS offers end-to-end services and solutions—from legacy application assessment to migration and modernization—to help you achieve purpose-led growth from your Google Cloud transformation initiatives.
- Our modernization approach is anchored on faster application development without compromising on quality and security.
- Benefits include a 40% reduction in development cycle time for containerized workload and 30% reduction in cost of quality.
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Overview
Cloud native is the way forward for modernization and growth.
In this era of digital disruption, enterprises are striving to improve business agility, drive innovation at scale, accelerate time to market, and build resilience and scalability to be more competitive. However, a key challenge arises from legacy technologies that are monolithic, unscalable, require manual efforts and involve lengthy application development cycles for releasing new products and services. Enterprises looking to overcome these challenges are turning to cloud-native application development and containerization to fuel growth, accelerate innovation, and find quick resolutions to customer concerns.
Solution
Enable faster application development without compromising on quality and security.
TCS offers end-to-end services and solutions—from legacy application assessment to migration and modernization—to help you achieve purpose-led growth from your Google Cloud transformation initiatives.
- Cloud strategy and assessment: We help develop a robust cloud adoption strategy starting with IT landscape discovery and maturity assessment. We leverage TCS’ Cloud Counsel for infrastructure and application assessment, and identification of migration patterns. Our pattern-based approach allows us to use a catalog-based pricing model for a simplified migration planning and accurate assessment of TCO.
- Migration: TCS uses a Machine First™, factory-based execution model to quickly migrate workloads to Google Cloud. It leverages TCS accelerators to build a robust foundation on Google Cloud using industry-specific blueprints and Zipped Agile for automated provisioning of continuous integration and continuous deployment (CI-CD) pipelines and DevOps maturity assessment.
- Modernization: Modernization is often high-touch and more changes are required to application code compared to relatively simpler cloud migrations. We employ a factory-based modernization approach along with our cloud accelerators. We use our extensive experience in microservices and containerization backed with a centralized repository of cloud native design patterns and aligned to industry best practices along with Google Cloud’s architecture framework to help enterprises modernize their applications on cloud.
- API-fication: TCS offers full stack API management services using Apigee for API assessment and roadmap, architecture blueprint, foundation setup, factory-based API implementation, governance setup, and API reliability services. We partner with customers on their API journey from initiation to mobilization and evolution into API maturity.
Benefits
Build an agile digital core to lead the future.
The benefits of TCS’ factory model are many. It accelerates application development, database design, various types of testing, monitoring, management, API development and life-cycle management for common cloud architecture and design patterns, resulting in:
40% reduction in development cycle time for containerized workload.
30% reduction in cost of quality.
Fast-tracked domain-driven microservice decomposition and design for specific industry verticals.
Automated deployment of common architecture blueprints and CI-CD pipelines.
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