Cloud-Native Infrastructure Optimization for Biotechnology Data Processing

We are a dynamic biotechnology startup focused on advancing genomic research through innovative computational methods. Our current challenge lies in efficiently managing and scaling our data processing infrastructure to handle increasing workloads due to rapid growth and new partnerships. We aim to enhance our existing infrastructure by adopting a cloud-native approach, leveraging Kubernetes for container orchestration and Terraform for infrastructure as code. The project requires setting up automated deployment pipelines using Jenkins and ArgoCD, ensuring seamless integration and version control. Additionally, we need to implement a robust observability stack with Prometheus and Grafana to enable real-time monitoring and analytics of our data pipeline performance. Given the sensitive nature of genomic data, automating security measures across our multi-cloud setup is critical, ensuring compliance with industry standards and safeguarding data integrity. The successful completion of this project will position us to efficiently scale operations, reduce downtime, and maintain high data security, ultimately enabling us to deliver faster insights to our researchers and partners.