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Awesome GitHub RepositoriesOptional Component Deployments
Deploys additional background workers and infrastructure components to extend core server functionality.
Distinct from Microservices Deployments: Distinct from Microservices Deployments: focuses on the optional enablement of specific background components rather than general microservice decomposition.
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Awesome Optional Component Deployments GitHub Repositories
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- zenml-io/zenml
zenml-io/zenml
5,451GitHub पर देखेंZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented
Deploys additional background workers and infrastructure components like schedulers to extend core server functionality.
Pythonagentopsagentsai
