Our Remarkable Projects

A private firm was facing significant operational challenges with their aging on-premises IT infrastructure. All critical applications were running on a single server, leading to performance issues and limited scalability. The organization needed a modern, resilient infrastructure solution that could improve security, optimize costs, and enhance service delivery reliability without disrupting critical business operations.

We implemented a comprehensive AWS cloud migration strategy to modernize the firm's IT infrastructure. The solution included a distributed architecture with purpose-built cloud servers for specific applications, secure network configuration with site-to-site VPN, and database modernization to Aurora PostgreSQL. We established a tiered storage strategy using EBS, EFS, and S3, implemented enhanced security measures including GuardDuty and WAF, and deployed comprehensive monitoring and governance solutions. The implementation followed a phased approach to ensure minimal disruption to business operations.

• ✓Enhanced security with enterprise-grade measures and real-time threat detection
• ✓Significant cost optimization through intelligent resource scaling
• ✓Improved reliability with multi-AZ deployment and automatic failover
• ✓On-demand scalability to handle peak workloads
• ✓Optimized performance for all application types
• ✓Reduced IT maintenance burden with automated monitoring

An actuarial firm was facing multiple challenges with their cloud infrastructure: limited expertise in AWS cloud architecture and best practices, inefficient management of cloud resources leading to higher costs, concerns about compliance with regional data protection regulations, a technical team distracted from core actuarial work by infrastructure management, lack of clear cost visibility and optimization strategies, and a need for expert guidance on new AWS services relevant to actuarial workloads. The company required a comprehensive solution that would allow them to focus on their core business while ensuring their cloud infrastructure was cost-effective, secure, and compliant.

Implemented a multi-faceted cloud management program tailored specifically for actuarial workloads, including: consolidated billing with optimized resource management and regular cost reporting; deployment of AWS-certified solutions architects to provide expert guidance across the five pillars of the AWS Well-Architected Framework; a specialized Data Protection Officer service to address regulatory requirements under relevant data protection laws; and thorough evaluation of existing infrastructure with recommendations for improvement.

• ✓Cost efficiency through right-sizing and resource management
• ✓Enhanced compliance with data protection regulations
• ✓Technical team freed to concentrate on core actuarial operations
• ✓Regular reporting on usage patterns and cost-saving opportunities
• ✓Risk mitigation through security and disaster recovery best practices
• ✓Access to certified professionals for ongoing infrastructure optimization

The insurance company had significant challenges with their legacy data warehouse infrastructure. Different departments used disconnected data sources, making consolidated analysis difficult. The existing system was limited in scalability to handle growing data volumes and required inefficient manual reporting processes. There was no standardized data governance framework, making it difficult to maintain data security and compliance.

We built a comprehensive AWS-based data analytics platform that could handle all data processing and analytics needs. The platform included a secure data lake for storing and processing data, with automated ETL workflows for multiple data sources. We implemented a robust data governance framework using AWS Lake Formation to enforce security and access policies. For the analytics infrastructure, we configured cloud-based tools and integrated business intelligence dashboards. The entire solution was built with comprehensive security measures including encryption, access policies, and audit logging.

• ✓100% data integration across all sources
• ✓50% reduction in operational costs
• ✓Improved data quality and consistency
• ✓Enhanced security and compliance controls
• ✓Faster time-to-insight for business users

A financial services company was experiencing significant customer attrition, which directly impacted their revenue and long-term profitability. The company had no way to identify at-risk customers before they discontinued services, lacked analytical tools to understand churn patterns, and struggled to transform customer data into actionable insights.

We built a comprehensive customer churn prediction solution using AWS cloud services with a focus on accessibility through low-code/no-code development. The solution included a secure cloud foundation with proper security controls and networking configuration, a secure data pipeline to ingest and process customer data while ensuring privacy compliance, Amazon SageMaker Canvas to build a no-code predictive model identifying customers likely to churn, interactive dashboards for business users to monitor churn predictions, and the model deployed as a secure API endpoint for integration with existing customer management systems.

• ✓80% prediction accuracy for potential churners
• ✓15% improvement in customer retention
• ✓60% reduction in implementation time using low-code tools
• ✓Enhanced customer insights into behaviour patterns
• ✓Improved overall customer satisfaction

A local municipality was facing significant operational risks due to their reliance on a single on-premises server with no disaster recovery capabilities. The lack of backup systems and recovery procedures posed a serious threat to their ability to maintain critical public services. The organization needed a reliable, cost-effective solution that could ensure business continuity and protect their data assets.

We implemented a comprehensive disaster recovery solution using AWS Elastic Disaster Recovery (DRS). The solution created a secure, cloud-based replica of the municipality's on-premises server, with continuous data replication and automated recovery processes. We established secure VPN connections between the on-premises environment and AWS, configured multi-AZ deployment for enhanced resilience, and implemented automated recovery procedures. The solution included regular testing capabilities without disrupting production workloads, ensuring the municipality could validate their recovery processes.

• ✓RTO and RPO compliant with industry standards
• ✓100% data protection through real-time replication
• ✓Reduced capital expenditure for backup infrastructure
• ✓Automated recovery processes requiring minimal IT intervention
• ✓Regular testing capabilities without service disruption
• ✓Scalable solution that grows with organizational needs

A financial institution needed to transform its data analytics capabilities. Existing on-premises Oracle databases were siloed and difficult to analyze holistically, there was limited ability to perform advanced analytics due to infrastructure constraints, compliance with strict regional data privacy regulations was challenging, business users lacked user-friendly tools to explore data, manual reporting processes were time-consuming and error-prone, and there were no capabilities for natural language querying of data by non-technical staff.

Implemented a comprehensive cloud-based data analytics platform leveraging AWS services: a resilient AWS infrastructure with site-to-site VPN and multi-availability zone deployment; a hybrid data architecture combining an S3 data lake and Redshift data warehouse; AWS Database Migration Service for secure extraction of data from on-premises Oracle databases; AWS Lake Formation and Glue Data Catalog for centralized metadata management and access control; QuickSight dashboards with Amazon Q integration for natural language querying; and comprehensive data encryption, access policies, and audit logging. The implementation followed a phased six-week approach.

• ✓Consolidated data view enables more informed business decisions and deeper customer insights
• ✓Business users can explore data and generate reports without technical assistance
• ✓Non-technical staff can query data in plain English using Amazon Q
• ✓Full compliance with data privacy regulations through advanced security and governance controls
• ✓Data sovereignty maintained through synchronized on-premises data copies
• ✓Automated data pipelines reduce manual work and improve data refresh rates
• ✓Scalable platform that grows with increasing data volumes and business needs

An enterprise experienced escalating AWS costs due to inefficient resource management across their multi-region cloud infrastructure. Issues included unmanaged EC2 instances running 24/7 with minimal utilization, legacy EBS gp2 volumes with outdated pricing, unattached Elastic IPs and orphaned security groups, inconsistent resource tagging, no AWS Cost Explorer or Budgets implementation, underutilized Reserved Instance coverage, and excessive NAT Gateway usage. AWS spending was growing 25% quarter-over-quarter with limited visibility into resource utilization metrics.

Implemented a comprehensive FinOps framework leveraging AWS native services: deployed AWS Config and Systems Manager for resource inventory and automated cleanup; migrated EBS volumes from gp2 to gp3 and implemented S3 Intelligent-Tiering; utilized AWS Compute Optimizer for instance right-sizing and migrated workloads to Graviton2 instances; deployed AWS Fargate for containerized workloads; consolidated VPCs using AWS Transit Gateway; and implemented AWS Cost Explorer, Budgets, and Cost and Usage Reports. The implementation followed four structured phases: Assessment & Planning, Quick Wins, Architectural Changes, and Sustainable Operations.

• ✓30–40% reduction in AWS spend through systematic resource optimization
• ✓Reduced management overhead through automation and standardized processes
• ✓Comprehensive cost tracking and reporting using AWS native tools
• ✓Strengthened security posture through resource consolidation and standardized access controls
• ✓Established framework for ongoing cost optimization and cloud governance
• ✓Improved application performance through right-sized resources and optimized networking

Many enterprise customers struggle with the high cost and complexity of managing Amazon RDS environments. Common issues include rising operational costs due to inefficient database sizing and lack of cost visibility, manual and error-prone maintenance tasks consuming valuable engineering resources, limited in-house expertise in RDS optimization and FinOps principles, underutilized resources leading to wasted spend, and inconsistent performance causing unplanned downtime affecting critical workloads.

Ushauri Consulting delivers a fully managed Amazon RDS optimization service including: automated and manual database performance tuning based on workload patterns; continuous rightsizing using AWS Cost Explorer and custom CloudWatch insights; proactive monitoring with CloudWatch alarms and performance dashboards; automated patching, backups, and failover testing via AWS Systems Manager and EventBridge; end-to-end security with encryption, IAM-based access control, and audit logging; and custom monthly reporting on cost trends, optimization outcomes, and availability SLAs. Deployed across four phases: Assessment, Optimization, Automation, and Continuous Monitoring.

• ✓Up to 35% reduction in infrastructure costs through instance rightsizing and reserved instance planning
• ✓Up to 40% reduction in database management tasks via automation
• ✓Improved database responsiveness and uptime with proactive tuning
• ✓End-to-end security configuration meets industry compliance standards
• ✓Real-time performance and cost metrics align IT and finance goals
• ✓Supports multi-account RDS deployments and scales with growing data needs