Data has proven to be a competitive differentiator for decades and the adoption of machine learning can now deliver even greater insights from data. Adopting machine learning requires a technology environment with processes and platforms that can deliver innovation at scale.
EKS is a managed Kubernetes platform for scale. GitOps introduces processes and principles that align with machine learning operations (MLOps) best practices: Reproducibility, Reusability, Manageability and Automation.
This on-demand webinar demonstrates:
- How to turn a complex set of components into a profile
- How profiles allow for reliable and automated deployments to EKS
- How an MLOps profile provisions and manages a machine learning stack and cluster with GitOps
- How GitOps and profiles enable consistent and reproducible clusters without operational overhead
- How GitOps managed profiles enable portability for workloads across different clouds, on-premise and your laptop
This complimentary resource is offered by Weaveworks, an AWS Community Partner. This content first appeared here.
