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A comprehensive SDK for Python to interact with Azure Event Grid. It enables developers to build robust, event-driven architectures (EDA) by providing mechanisms to publish standard CloudEvents and Azure-native EventGridEvents. Use it for implementing complex publish/subscribe patterns and integrating services within the Azure cloud ecosystem.

A comprehensive SDK for Python to interact with Azure Event Grid. It enables developers to build robust, event-driven architectures (EDA) by providing mechanisms to publish standard CloudEvents and Azure-native EventGridEvents. Use it for implementing complex publish/subscribe patterns and integrating services within the Azure cloud 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 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.

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.

A comprehensive SDK for running Playwright end-to-end tests at scale. It leverages cloud-hosted browsers within the Azure ecosystem, allowing developers to execute reliable, large-scale automated tests. Features include integrated Azure portal reporting, seamless authentication using Microsoft Entra ID, and strong support for CI/CD pipelines.

A comprehensive SDK for running Playwright end-to-end tests at scale. It leverages cloud-hosted browsers within the Azure ecosystem, allowing developers to execute reliable, large-scale automated tests. Features include integrated Azure portal reporting, seamless authentication using Microsoft Entra ID, and strong support for CI/CD pipelines.

This SDK provides the management plane capabilities for Azure Cosmos DB within the .NET ecosystem. It allows developers to programmatically provision and manage core infrastructure resources, such as Cosmos DB accounts, databases, containers, throughput settings, and perform resource lifecycle operations using Azure Resource Manager (ARM). It is designed for infrastructure automation and setup tasks.

This SDK provides full management plane capabilities for Azure Cache for Redis within the .NET ecosystem. It allows developers to provision, configure, and manage various aspects of the Redis resource using the Azure Resource Manager (ARM) framework. Key functions include creating and updating cache instances, managing network firewall rules, rotating access keys, scheduling patch updates, and performing data import/export operations.

This comprehensive guide assists developers in upgrading the groq-sdk package and migrating away from deprecated Groq model IDs. It provides step-by-step instructions, model deprecation timelines, and best practices for maintaining compatibility with the latest Groq API features, ensuring smooth integration with the rapidly evolving Groq ecosystem.

A comprehensive guide for building professional, high-performance native iOS applications. Covers modern frameworks like SwiftUI and Swift 6, alongside deep expertise in UIKit, Core Data, networking (REST/GraphQL), performance profiling, and full App Store lifecycle management. Ideal for developers needing guidance on modern Apple ecosystem best practices.