About the Customer

Pricing Coach is a technology company founded by a team of seasoned dynamic pricing experts from leading global airlines. The company delivers cutting-edge artificial intelligence solutions to enable dynamic pricing across various industries such as sports, entertainment, car rental, and tourism. By leveraging AI-powered analytics and customer behavior modeling, Pricing Coach aims to empower its clients with real-time pricing strategies that maximize profitability and operational efficiency. Their cross-functional team includes data scientists, business intelligence professionals, and software engineers, working together to develop scalable, secure, and highly performant pricing platforms.

Customer Challenge

Pricing Coach initially operated on a legacy infrastructure composed of scattered and independently managed servers, which posed several operational and security risks. The compute resources were underutilized and inconsistently monitored, leading to inefficiencies and increased operational costs.

Their server-based database management lacked scalability and disaster recovery capabilities, with no formal backup strategy in place. Furthermore, the absence of a centralized monitoring system for compute and storage resources made performance analysis and troubleshooting time-consuming and error-prone.

The networking layer was also a challenge; there was a growing demand for secure, scalable, and protocol-based traffic management. However, without a proper load balancing mechanism or modern VPC architecture, application reliability and user experience were at risk. If these challenges were not addressed, the customer would face increasing security threats, operational inefficiencies, higher infrastructure costs, and difficulties in scaling their services across regions.

Partner Solution

Onkatec collaborated closely with Pricing Coach to design and implement a modern, secure, and scalable AWS-based architecture that would resolve all the core challenges while aligning with future growth plans. The primary objective was to centralize management, enhance observability, and optimize infrastructure costs, all while maintaining high availability and security.

To address the legacy compute challenges, we utilized AWS Systems Manager Patch Manager to centrally manage and automate patching across both Windows and Linux workloads. Through extensive workload analysis, right-sizing strategies were applied to ensure that EC2 instances were optimally scaled, leading to improved performance and cost-efficiency.

The database layer was migrated to Amazon RDS, leveraging fully managed services for PostgreSQL. This transition eliminated the administrative overhead of manual database management, provided automated backups, enhanced failover capabilities, and improved data reliability.

For networking and security, a multi-AZ VPC architecture was established to ensure fault tolerance and redundancy. VPN connectivity was configured to allow secure internal communication between on-premises and cloud environments. Additionally, Application Load Balancer (ALB) and Network Load Balancer (NLB) were implemented to manage protocol-based traffic intelligently, distributing load efficiently and reducing latency.

A comprehensive backup and disaster recovery strategy was developed and integrated using AWS Backup and Amazon S3, ensuring that all critical workloads had automated and version-controlled backup policies. To enhance observability, Amazon CloudWatch was configured to collect and analyze system metrics, application logs, and set up alarms for proactive incident response.

Finally, to further drive performance and cost optimization, AWS Graviton-based instances were introduced for select workloads, offering better price/performance ratios for compute-intensive operations.

During both pre-implementation and post-deployment phases, Onkatec provided hands-on consulting, architectural validation, and knowledge transfer to the customer’s internal team. Our support services ensured a smooth transition with minimal downtime and empowered Pricing Coach’s DevOps team with best practices for managing their new AWS environment.

Results and Benefits

The AWS-powered transformation delivered by Onkatec resulted in significant performance improvements and operational efficiencies for Pricing Coach. Application reliability and system scalability were greatly enhanced thanks to the new multi-AZ architecture and managed services.

As part of the migration strategy, Pricing-coach experienced an average 28% reduction in infrastructure costs with Graviton-based instances. Onkatec performed a thorough assessment of the customer’s legacy compute environment. Through detailed resource utilization analysis, we applied right-sizing techniques before transitioning workloads to AWS. This ensured that underutilized or oversized servers were appropriately adjusted to fit their actual performance needs, which resulted in a more efficient use of cloud resources and contributed significantly to ongoing cost optimization

The introduction of RDS and automated backups eliminated manual overhead, reducing the risk of data loss and increasing DBA productivity.

Patch automation and centralized monitoring improved the security posture and reduced incident resolution time by up to 40%, while the new load balancer configuration led to improved response times by over 25% for end-users globally.

Overall, the solution has enabled Pricing Coach to focus on innovation and product development, knowing their infrastructure is secure, scalable, and cost-effective.

About the Partner

Onkatec specializes in Cloud DevOps and infrastructure optimization, delivering SLA-driven solutions on AWS for organizations with mission-critical workloads. With proven AWS expertise and a team of certified professionals, Onkatec offers comprehensive services across cloud migration, infrastructure as code (IaC), CI/CD pipelines, observability, and cloud-native development.

Our AWS-validated capabilities ensure secure, scalable, and high-performing cloud environments tailored to customer needs. Through expert-led automation, proactive support, and architectural best practices, we help organizations reduce cloud complexity and accelerate digital transformation. Onkatec has consistently delivered measurable business outcomes, such as 30–50% reductions in IT operational costs, improved uptime, and faster time-to-market.