6 articles found
How Lyft’s counterintuitive decision to split its ML platform between Kubernetes and SageMaker solved scaling pains that a unified architecture couldn’t
Budget cuts are forcing teams off Azure Databricks and onto open-source alternatives. The twist? They’re discovering more flexible, composable architectures that might be superior, even if they could afford the managed platforms.
The sudden halt of a core S3-compatible storage system exposes a harsh truth about the hidden costs of depending on ‘free’ open-source software.
How complex system designs create barriers for junior engineers entering the field, exacerbating hiring challenges
Moving beyond chat interfaces to real agentic AI deployments in data engineering.
Pocketbase enables full backend deployment without Docker, Kubernetes, or cloud orchestration, reigniting debate about the necessity of modern DevOps tooling.
