Transforming Qapital’s SaaS & Data Analytics Operations with AWS

In Brief

• Qapital’s growing infrastructure struggled on two fronts: an aging Hashicorp-based SaaS setup that required too much maintenance and a data pipeline that couldn’t keep up with near real-time demands.
• Our team delivered a dual-pronged solution, implementing AWS EKS for SaaS operations and a scalable AWS-based data analytics pipeline.
• The AWS EKS migration and data analytics pipeline boosted Qapital's reliability, time to insights, security, and cost efficiency. 

Their Challenges

SaaS Operations Complexity: Qapital’s Hashicorp stack (Nomad, Consul, Vault) led to frequent version update issues, causing time-consuming maintenance. A transition to a managed, scalable service became critical to improving efficiency and developer experience.

Data & Analytics Bottlenecks: Qapital's legacy architecture struggled to handle increasing data loads, leading to performance issues that slowed down operations. Integration between new system components was inconsistent, making it difficult to standardize processes. Additionally, inefficient real-time data processing created bottlenecks, delaying critical decision-making in a fast-paced fintech environment.

"We realized a change was needed to manage both our services and data more efficiently. Redeploy's expertise in AWS was vital in this complex shift, ensuring operational excellence, security, and cost-effectiveness. But it wasn’t just their expertise that made the difference – it was the synergy and collaborative spirit between Redeploy and our internal IT and Data teams."

– Anders Blockmar, CTO at Qapital

Our Solution

SaaS Modernization with AWS EKS: Our AWS specialists evaluated Qapital’s needs and conducted a proof of concept for AWS ECS and AWS EKS. AWS EKS was the clear choice due to its security, operational efficiency, and seamless developer experience. The migration ensured:

• Stronger Security with built-in encryption, hardened node images, and tighter network policies.
• Reduced Maintenance by automating updates and minimizing downtime.
• Improved Developer Productivity through streamlined Kubernetes workflows.

Data & Analytics Transformation with AWS: To solve Qapital’s data challenges, we implemented a comprehensive AWS data analytics stack, including:

• Amazon EMR for scalable big data processing.
• AWS Glue to automate ETL processes.
• Amazon Kinesis for real-time data ingestion.
• Amazon Redshift for enterprise-grade data warehousing.
• Amazon QuickSight for intuitive business intelligence and visualization.

This architecture delivered a scalable, efficient data pipeline, enabling Qapital to handle large data loads, standardize processes, and derive insights in real time.

The Results

The combined impact of SaaS modernization and data analytics transformation led to:

• More Reliable Systems: AWS EKS eliminated maintenance headaches, improving uptime and reducing unplanned downtime.
• Faster Deployments & Smoother Maintenance: Upgrades and fixes that once took 5-6 hours now take just 2-3 hours, keeping operations running smoothly.
• Near Real-Time Data Insights: A high-performance data pipeline means Qapital can now make decisions instantly, instead of waiting on slow batch processing.
• Increased Developer & Ops Productivity: Less firefighting, more innovation—automated Kubernetes workflows and streamlined data processes free up time for what really matters.

By modernizing both SaaS operations and data analytics, Qapital now runs on a reliable and scalable AWS infrastructure, allowing them to focus on growth and innovation instead of IT challenges. Redeploy remains a trusted partner in Qapital’s cloud evolution—ensuring a secure, cost-efficient, and future-ready AWS environment