We made a visible and
measurable impact to our
client's business
High availability across critical analytics workloads
Faster incident response through proactive monitoring
Reduced infrastructure management effort
Optimized infrastructure costs
About the Client
A leading global provider of financial risk intelligence and analytics, delivering regulatory-compliant insights, stress testing, and risk modeling solutions to institutional clients across the financial services sector.
Lauren Group delivered AWS Managed Services for the client’s SAS Viya environment on AWS, enabling 24x7 monitoring, continuous compliance, and cost-optimized operations - ensuring a reliable, scalable, and audit-ready foundation for financial risk analytics.
The Problem
After modernizing its SAS Viya platform on AWS, the client required a scalable and fully managed operations model to ensure continuous availability, compliance, and performance of its real-time financial analytics workloads.
Key challenges included:
- Managing complex, containerized workloads on Amazon EKS.
- Ensuring continuous compliance with global regulatory standards. (Basel III, IFRS 9, SOC 2)
- Maintaining high availability for real-time risk analytics and stress testing workloads.
- Controlling cloud costs during variable, compute-intensive workloads.
- Reducing operational dependency on internal engineering and analytics teams.
Without a mature managed services framework, the organization faced risks of SLA breaches, downtime, compliance gaps, cost inefficiencies, and limited visibility into system performance.
Our Approach
Lauren Group implemented an AWS Managed Services framework tailored for containerized financial analytics platforms:
- 24x7 Monitoring & Observability using Amazon CloudWatch integrated with Amazon EKS and application-level metrics, along with real-time dashboards and proactive alerting.
- EKS Platform & Infrastructure Management including cluster lifecycle management, autoscaling strategies, and automated patching of EC2 worker nodes using AWS Systems Manager.
- Security & Continuous Compliance using AWS Config, Security Hub, and GuardDuty, with enforcement of IAM least-privilege policies, encryption via AWS KMS, and centralized logging using AWS CloudTrail.
- Cost Optimization for Variable Workloads through rightsizing, autoscaling, idle resource identification, and Savings Plans for predictable usage.
- Backup & Disaster Recovery aligned with RPO/RTO requirements for critical analytics data and workloads.
- Governance & Reporting providing continuous visibility into performance, compliance posture, and cost trends, along with Well-Architected Reviews.
This approach ensured reliable, scalable, and audit-ready operations for business-critical financial analytics workloads.
Our Development Process
- Implemented centralized monitoring across EKS clusters, infrastructure, and application layers.
- Established SLA-driven incident response and escalation mechanisms.
- Automated patching, node lifecycle management, and infrastructure updates.
- Enabled continuous compliance monitoring with regular audits and security assessments.
- Optimized workloads dynamically based on demand variability and usage patterns.
- Delivered periodic governance reports and conducted continuous improvement reviews.
The Result
- Achieved 99.9%+ uptime for critical analytics workloads, ensuring uninterrupted service delivery.
- Improved incident response time by ~50–60% through proactive monitoring.
- Reduced infrastructure management effort by ~40%, freeing internal teams for innovation.
- Achieved 20–30% cost savings through workload and resource optimization.
- Enabled continuous compliance, significantly reducing audit preparation time.
- Improved SLA adherence, system transparency, and stakeholder confidence.