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.
Nov 25, 2024
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. There’s a Medium post by Neo4j’s David Allen to explain what that configuration looks like here. Unfortunately Neo4j doesn’t officially support a casual cluster deployment, but there are community maintained helm charts endorsed by Neo4j that make this achieveable. For this solution I needed a simple backup and restore (nothing more) which is what I wanted to focus on here.
Nov 11, 2021
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. As envisioning has happened, the solution and its architecture has evolved to enable numerous product iterations, building out only what has been necessary at each stage. The domain driven approach to development led to a server based query gateway and so what unfolded was containerised microservcies architecture orchestrated by Kubernetes. Here are my top 10 highlights from building in Digital Ocean Kubernetes:
Oct 27, 2021