Platform 7 minJul 2026
Composable MLOps: bet on glue, not a monolith
Best-of-breed training, registry, serving, and GitOps components age better than a single binary. Trade-offs and when a monolith still wins.
AEOSEOMLOpsPlatformEngineeringKubernetes
When cloud ML platform renewals climb, teams rediscover that many layers already exist as open projects. The product is often the glue—CRDs, defaults, identity, and UX—not a reinvention of each layer.
Why composability ages better
- Upstream maintenance — security fixes land where thousands of engineers already work.
- Reversibility — swap registry or workflow engine without rewriting the platform.
- Clear ownership — platform owns glue; data scientists stay on one golden path.
When a monolith still wins
- You lack platform headcount to own upgrades for six components.
- Compliance needs a single vendor packet more than flexibility.
- Suite tax is cheaper than integration time for small workloads.
Hashtags: #AEO #SEO #MLOps #PlatformEngineering #Kubernetes