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Composable Enterprise

CASE STUDY

Accelerating Cloud-First Transformation with AI-Driven DevSecOps and Observability

Industry

Asset & Wealth Management

Our Contributions

Cloud Transformation, DevSecOps Modernization, AIOps & Observability

Location

USA

Technologies

Microsoft Azure, GitLab, AI-Driven Automation

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Coforge partnered with a leading U.S.-based investment management firm to modernize its mission-critical wealth management platform through a cloud-first, AI-driven transformation. The organization operated a highly regulated, large-scale digital ecosystem with complex infrastructure, middleware, and containerized workloads.

As regulatory expectations and client experience demands increased, the firm required a scalable, secure, and efficient cloud platform. Coforge enabled a seamless migration to Microsoft Azure while embedding AI-driven DevSecOps, automation, and observability, thereby enhancing innovation, operational efficiency, and regulatory confidence.

Transformation timeline

Phase 1
Cloud readiness assessment and transformation strategy
Phase 2
Azure migration and DevSecOps platform consolidation
Phase 3
Observability and automation enablement
Phase 4
Continuous optimization and compliance enhancement

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The Challenge

The client operated a complex, highly regulated IT environment with fragmented DevOps tooling, limited observability, and increasing operational costs. Managing large-scale infrastructure and high-velocity workloads while maintaining compliance and system stability posed significant challenges.

Additionally, slow release cycles and inconsistent deployment processes impacted developer productivity and time-to-market. The lack of unified monitoring and automation limited the organization’s ability to proactively detect and resolve issues.

The firm required a modern, cloud-native operating model that could improve efficiency, enhance security, and support continuous innovation while ensuring uninterrupted client service.

Our Approach

Cloud-Native Platform Modernization
Migrated core workloads to Microsoft Azure, enabling a scalable, secure, and resilient cloud infrastructure.

Unified DevSecOps Platform
Consolidated fragmented DevOps tools into a standardized GitLab-based platform to streamline build, deploy, and operate workflows.

End-to-End Observability Enablement
Implemented full-stack observability across applications, middleware, and infrastructure for real-time monitoring and proactive issue detection.

AI-Driven Automation & AIOps
Leveraged intelligent automation to enable predictive operations, faster root-cause analysis, and improved incident management.

Governance & Continuous Compliance
Embedded policy-driven governance and automated compliance controls to strengthen security and regulatory adherence.

Partner / Technology Ecosystem

  • Microsoft Azure
  • GitLab DevSecOps Platform
  • AIOps & Observability Tools
  • Automation & Governance Frameworks

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Impact to Date

+40%

Improvement in Developer Productivity

-30%

Reduction in Operational Expenditure

+60%

Faster Deployments

-80%

Time Savings for Agents

Business Impact

 

  • Reduced tooling and licensing costs through DevOps platform consolidation
  • Improved system reliability with always-on observability and proactive monitoring
  • Enhanced operational efficiency with automated issue detection and resolution
  • Strengthened security posture and regulatory compliance
  • Enabled faster innovation with streamlined, cloud-native development workflows