Azure training course in chandrayan gutta, Azure course,institute at chandrayan gutta
Azure, also known as Microsoft Azure, is a comprehensive cloud computing platform and set of services provided by Microsoft. It offers a wide array of tools and services that enable organizations to build, deploy, and manage applications and services through Microsoft-managed data centers across the globe. Here's a detailed overview of Azure:
- Cloud Services and Offerings:
- Infrastructure as a Service (IaaS): Provides virtual machines, storage, and networking capabilities to host and manage applications in the cloud.
- Platform as a Service (PaaS): Offers a platform and environment for developing, testing, and managing applications without the need to manage the underlying infrastructure.
- Software as a Service (SaaS): Delivers ready-to-use software applications over the internet on a subscription basis.
- Compute Services:
- Virtual Machines: Scalable computing resources in the form of virtual machines, allowing users to run various workloads and applications.
- App Services: A fully managed platform for building, deploying, and scaling web and mobile applications.
- Azure Functions: Serverless compute service that runs event-triggered code without provisioning or managing servers.
- Storage and Databases:
- Azure Storage: Scalable and secure cloud storage solutions, including blob, file, table, and queue storage.
- Azure SQL Database: Fully managed relational database service with built-in AI capabilities.
- Cosmos DB: Globally distributed, multi-model database service designed for high availability and scalability.
- Networking:
- Virtual Network (VNet): Isolated and customizable networking capabilities to securely connect Azure resources.
- Azure Load Balancer: Distributes incoming network traffic across multiple servers to ensure no single point of failure.
- Azure VPN Gateway: Enables secure connections to Azure Virtual Networks from on-premises locations.
- AI and Machine Learning:
- Azure Machine Learning: A cloud-based environment for training, deploying, and managing machine learning models at scale.
- Cognitive Services: Pre-built AI models and APIs for vision, speech, language, and decision capabilities.
- Azure Bot Service: Platform for building, connecting, and deploying chatbots across various channels.
- IoT (Internet of Things):
- Azure IoT Hub: Centralized platform to connect, monitor, and manage IoT devices at scale.
- Azure IoT Edge: Extends cloud intelligence to edge devices, enabling real-time processing and analysis of data locally.
- Development Tools and DevOps:
- Azure DevOps: A suite of development tools and services for planning, developing, testing, and delivering software efficiently.
- Azure DevTest Labs: Helps create and manage environments for development and testing purposes.
- Security and Identity:
- Azure Active Directory (Azure AD): Identity and access management service to secure access to applications and resources.
- Azure Security Center: Unified security management system that provides advanced threat protection.
- Hybrid and Multi-Cloud Solutions:
- Azure Stack: Extension of Azure for building and deploying hybrid applications across on-premises and cloud environments.
- Azure Arc: Allows management and governance of resources across multi-cloud, on-premises, and edge environments.