2 Repos
Awesome GitHub RepositoriesStack Lifecycle Operations
Operations for creating, updating, and deleting grouped cloud resources based on declarative templates.
Distinct from Stack Templates: Focuses on the active deployment operations of the stack rather than the static template definition.
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Awesome Stack Lifecycle Operations GitHub Repositories
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- boto/boto3
boto/boto3
9,834Auf GitHub ansehenBoto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain
Enables the deployment, update, and deletion of cloud resource collections using declarative templates.
Pythonawsaws-sdkcloud - zenml-io/zenml
zenml-io/zenml
5,451Auf GitHub ansehenZenML 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
Supports creation, inspection, and deletion of environment configurations through CLI and version-controlled templates.
Pythonagentopsagentsai
