The client provides real-time operational intelligence solutions for machine-generated big data to businesses globally. They offer software for monitoring, searching, and analyzing machine-generated data. Their software indexes and correlates diverse data such as user transactions, customer behavior, service levels, security threats, and operational processes. They help derive actionable insights from these diverse data streams. they had to scale to keep up with their customer's demands but were unable to effectively do so owing to an aging legacy system. Additionally, they sought to optimize costs associated with technology modernization and operational management.

The challenge

The client's customers have a large number of IT applications, databases, third-party applications, and infrastructure components - all on legacy platforms and programming languages, predominantly PHP. This impacted scalability to new business features, as existing bugs kept piling up. The client didn't have dedicated project management and quality assurance teams. The client wanted to outsource the development, testing, and management of all IT applications and teams. They wanted flexibility in ramping up and down the team based on utilization and load besides setting up industry best practices in agile methodology and quality processes. The client wanted to outsource

IT services that would:

Refresh the existing technology stack to include new technologies and innovations
Support multiple platforms and programming languages
Augment development, testing and project management team
Clear all existing 800+ bugs in defect tracking system
Ramp up/down the team as per project needs
Implement agile methodologies for project management

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