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This Java client library provides comprehensive SDK support for Azure Batch service. It enables developers to manage and execute large-scale, parallel, and high-performance computing (HPC) batch jobs in Azure. Users can programmatically manage compute pools, create structured jobs, schedule tasks, and monitor job lifecycle using Java.

This Java client library provides comprehensive SDK support for Azure Batch service. It enables developers to manage and execute large-scale, parallel, and high-performance computing (HPC) batch jobs in Azure. Users can programmatically manage compute pools, create structured jobs, schedule tasks, and monitor job lifecycle using Java.

This Python SDK provides comprehensive management capabilities for Azure API Center. It allows developers to programmatically handle the entire API lifecycle, including API registration, version control, metadata definition, definition import, and deployment management across an organization's API estate, ensuring robust governance and centralized control.

This SDK provides the comprehensive management plane interface for Azure API Management (APIM) within the .NET framework. It enables developers to programmatically provision, update, and manage the entire lifecycle of APIM resources, including APIs, Products, Subscriptions, Policies, and Users, directly through the Azure Resource Manager. It is essential for automating infrastructure setup and CI/CD pipelines.

This SDK provides comprehensive Python tools for managing Azure API Management (APIM) resources programmatically. Users can automate the entire lifecycle, including creating and updating APIM services, importing APIs from OpenAPI specifications (JSON or URL), defining product tiers, managing subscriptions, applying granular security policies (like rate limiting), and configuring backends and users.

A comprehensive Azure Resource Manager SDK for managing the lifecycle of Azure Bot Services in .NET. This library allows developers to programmatically provision, configure, and manage core bot resources, various communication channels (such as Teams, DirectLine, and Slack), and connection settings directly through the management plane.

A comprehensive Azure Resource Manager SDK for managing the lifecycle of Azure Bot Services in .NET. This library allows developers to programmatically provision, configure, and manage core bot resources, various communication channels (such as Teams, DirectLine, and Slack), and connection settings directly through the management plane.

This comprehensive guide demonstrates how to use the Azure Management SDK for Python to programmatically manage Azure Bot Service resources. It covers the full lifecycle, including creating, listing, updating, and deleting bots, configuring various communication channels (Teams, Direct Line, Web Chat), and setting up OAuth connections. Ideal for developers building sophisticated conversational AI solutions.

This comprehensive guide demonstrates how to use the Azure Management SDK for Python to programmatically manage Azure Bot Service resources. It covers the full lifecycle, including creating, listing, updating, and deleting bots, configuring various communication channels (Teams, Direct Line, Web Chat), and setting up OAuth connections. Ideal for developers building sophisticated conversational AI solutions.

This SDK provides comprehensive Python access to manage Microsoft Fabric capacities and resources within Azure. Developers can programmatically perform full lifecycle operations, including creating, reading, updating, deleting, suspending, and resuming Fabric capacities. It is essential for automating resource provisioning, monitoring capacity status, and optimizing cloud costs within the Azure ecosystem.

This SDK provides comprehensive Python access to manage Microsoft Fabric capacities and resources within Azure. Developers can programmatically perform full lifecycle operations, including creating, reading, updating, deleting, suspending, and resuming Fabric capacities. It is essential for automating resource provisioning, monitoring capacity status, and optimizing cloud costs within the Azure ecosystem.

This is the Azure Resource Manager SDK for .NET, designed to streamline the deployment and management of Weights & Biases (W&B) ML experiment tracking instances directly through Azure Marketplace. It allows developers to programmatically create, configure, and manage W&B environments, including setting up marketplace details, managing admin users, configuring Single Sign-On (SSO), and ensuring robust ML observability within an Azure ecosystem. Ideal for MLOps pipelines.