Guardant Health
Case Study
Devopsbay, excels in deploying advanced Kubernetes applications, specializing in enhancing software development and operations for global clients. While historically incorporating AI and machine learning to address complex business challenges, in the context of the Guardant Health project, the focus shifted towards leveraging its expertise in infrastructure management and collaborative development practices.
Technical challenges
Project implementation stages
- 1
Integration with the Client's R&D
Devopsbay seamlessly integrated with the client's R&D team, establishing a shared Slack channel and participating in daily meetings to ensure the deployment process was aligned with ongoing application development, allowing the client to focus on their core work.
- 2
Kubernetes Installation
Utilizing kubespray for operational readiness, facilitating node management, and ensuring cluster resilience through custom recovery solutions.
- 3
Infrastructure Tools
Implementing MetalLB, Traefik, and a robust suite of tools for monitoring (Prometheus, Grafana) and logging (Fluentd, Logstash, Elasticsearch), significantly enhancing performance, security, and scalability.
- 4
Security and Storage
Emphasizing security through Gatekeeper and custom provisioning for storage, addressing the specific needs of healthcare data management.
Conclusion
The collaborative efforts led to a fully operational Kubernetes cluster, with enhanced monitoring and simplified operations through one-click automation. The project's success was marked by improved operational efficiency, without disrupting the client's application development. This strategic focus on infrastructure, combined with a reduction in the emphasis on AI for this particular project, underlines Devopsbay's adaptability and commitment to meeting client needs.
