Reimagine modernization and migration transformation with cloud-first quality engineering

Overview

The need to accelerate business growth, improve customer experience, and drive optimization is directing enterprises to undertake ambitious digital journeys through cloud adoption at speed. Despite the increasing popularity of cloud, such transformation and migration journeys are often riddled with challenges due to the dynamic nature of the cloud environment.

Organizations face a range of issues in their cloud journeys:

• Infrastructure instability issues such as configuration failures, network connectivity, reliability, security, and service availability
• Cloud data migration issues related to data model design, data truncation and data loss, and missing or duplicate records
• Synchronization issues between edge cloud and sensors/devices resulting in data inconsistencies and latency challenges
• Functional issues across parameters such as container-based integration between applications, application availability, compatibility, interoperability, and integration of services
• Non-functional issues such as resilience, scalability, benchmark metrics, continuous monitoring, single point failures, and failover

These challenges in turn increase total cost of ownership and can adversely impact sales and customer loyalty.

Infosys Cloud Testing, part of Infosys Cobalt, empowers organizations to address these challenges with shift-left and shift-right testing solutions for all cloud- transformation related use cases. These include custom application migration, data on cloud, legacy modernization, cloud native application development, SaaS packages, and industry cloud implementations. Organizations are increasingly using artificial intelligence (AI), generative AI (GenAI), and machine learning (ML) to gain insights from large amounts of data and improve business operations. Infosys offers a layered, automation-led, AI-first approach to validate transformations that leverage poly/multi-cloud deployment models including public, private, community, and hybrid. Our methodology works across all service models such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The assessment framework provides a strategy to determine the scope of testing such as type and coverage based on various approaches to migration including rehost, refactor, re-platform, re-architect, and remediate.

Infosys Cloud Testing focuses on four key areas in the digital transformation pyramid:

• Infrastructure Testing: Cloud platform validation, operational readiness, and disaster recovery
• Data Testing: Data migration testing, data lake validation and test data management
• Functional Testing: Validation of cloud-native containerized and legacy modernized applications migrated to cloud
• Non-functional Testing: Performance and security vulnerability

The offering leverages Infosys IPs, open-source technologies, accelerators, and marketplace solutions. It uncovers anomalies and provides complete coverage in the testing life cycle to fast-track quality delivery.