kubernetes

Operating AI across different clouds and execution engines becomes complex and difficult to maintain with cloud native tools as the number of different integrations between systems proliferates at scale. OpenShiftAI provides a cohesive hybrid, multi-cloud AI platform that enables enterprises to separate concerns between pipeline orchestration and workload execution reducing complexity in the data and governance subdomains and enabling enterprises to operate AI at scale.

If you’re managing a data engine inside a kubernetes cluster then implementing a backup and restore process can be challenging. A few months ago I developed a solution architecture deploying Neo4j into Kubernetes as a casual cluster.

Recently I’ve been developing a solution architecture for a boostrapped startup in Digital Ocean’s Kubernetes. Developing an understanding of the context, discovering the domain and taking initial ideas through critical design thinking has been key to a foundational architecture that should serve this product well throughout its lifecycle.