About the Client
A research-focused organization managing large analytical workloads and data processing pipelines, seeking scalable cloud infrastructure to accelerate research deployments and improve system reliability.
The Key Challenge
The organization relied on legacy infrastructure that limited scalability, delayed research deployments, and created inconsistent environments for analytical workflows.
Manual infrastructure provisioning and application deployment processes slowed the launch of new research projects.
Existing systems could not efficiently handle large analytical workloads or fluctuating computational demands.
Lack of standardized infrastructure led to configuration differences between development, testing, and production environments.
Our Solution
Ovaku implemented a cloud-native DevOps architecture using Kubernetes and Infrastructure as Code to enable scalable research environments and automated deployments.
Kubernetes-Based Scalable Infrastructure
Deployed AWS EKS clusters with auto-scaling capabilities to dynamically support computational workloads.
Automated CI/CD Deployment Pipelines
Implemented Jenkins-based pipelines integrated with AWS services for automated testing and application deployment.
Infrastructure as Code Implementation
Developed Terraform modules enabling consistent provisioning of development, staging, and production research environments.
Result
The cloud transformation significantly improved research deployment speed, increased computational scalability, and reduced operational overhead through automated infrastructure management.
Testimonial
