Azure Fundamentals is an introductory series designed to help you understand the basics of Microsoft Azure, a cloud computing platform. It covers services like web hosting, virtual machines, remote storage, databases, and even advanced tech like AI and IoT.
You don’t need deep technical experience to get started, but some general IT knowledge can be helpful. The series includes interactive exercises, where you can practice using Azure in a free, temporary environment called a sandbox.
This course is great for beginners or those interested in cloud computing, especially if you want to earn Microsoft's official certification (AZ-900).
Introduction to cloud computing
Cloud computing provides IT services like storage, virtual machines, and networking over the internet, rather than relying on physical hardware. It also offers advanced services like AI, machine learning, and IoT.
Since its internet-based, cloud computing is not limited by physical infrastructure. If your business needs more IT resources quickly, you can scale up using the cloud without having to build new data centers.
Describe the shared responsibility model The shared responsibility model in cloud computing means that the cloud provider and the customer share responsibility for different aspects of cloud services.
- Cloud Provider's Responsibilities: They take care of the physical infrastructure, like the datacenter, network, power, and cooling.
- Customer's Responsibilities: You are responsible for your data, who has access to it, and the devices connected to the cloud.
For other areas, responsibility depends on the service type:
- IaaS (Infrastructure as a Service): You manage more, like the operating system and applications.
- SaaS (Software as a Service): The cloud provider handles most things, like software and updates.
- PaaS (Platform as a Service): Responsibilities are shared more evenly between you and the cloud provider.
In short, the cloud provider handles the infrastructure, and you handle the data and access. The exact balance of responsibilities depends on the service you're using.
Cloud models define how cloud resources are deployed. The three main types are:
- Private Cloud: This cloud is used by one company only, offering more control but also higher costs. It can be hosted on-site or by a third party in a dedicated datacenter.
- Public Cloud: Built and maintained by a cloud provider, it's available to anyone who wants to use it. It's cost-effective and accessible to the general public.
- Hybrid Cloud: A mix of private and public clouds, allowing companies to use both for different needs. For example, they can keep sensitive data in the private cloud and use the public cloud to handle extra demand.
Who can be cloud provider?
A cloud provider is a company or organization that offers cloud computing services like storage, virtual machines, databases, and networking over the internet. Some well-known cloud providers include:
- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud
- IBM Cloud
- Oracle Cloud
- Alibaba Cloud
These providers maintain large data centers and offer a range of services that customers can use to build, store, and manage their applications and data in the cloud.
In a multi-cloud setup, you use services from multiple public cloud providers (like Azure, AWS, or Google Cloud) at the same time. This could be because you need specific features from different providers or you're transitioning between them. Managing resources and security across multiple clouds is part of this approach.
Azure Arc helps you manage your cloud environment, whether you're using Azure, a private cloud, a hybrid setup, or multiple cloud providers (multi-cloud).
Azure VMware Solution lets businesses that use VMware in their private cloud move those workloads to Azure, making it easy to scale and integrate with Azure’s services.
VMware is a company that provides virtualization technology, which allows you to create virtual machines (VMs). Virtual machines let you run multiple operating systems on a single physical server, optimizing resources and making IT management more flexible and cost-effective.
VMware’s software is widely used in data centers to create virtualized environments where businesses can run multiple applications and services efficiently. This technology is crucial for private cloud setups, enabling companies to manage servers, storage, and networking in a more flexible, scalable way.
For example, VMware products like vSphere and vCenter help manage and run virtual servers, making it easier to handle IT infrastructure without needing physical servers for each application.
Describe the consumption-based model
The consumption-based model in cloud computing means you only pay for the IT resources you use, like storage or virtual machines. There are no upfront costs or need to buy and maintain expensive infrastructure. If you need more resources, you can add them, and if you need less, you can scale back, only paying for what you actually use.
This model is part of operational expenditure (OpEx), where costs are ongoing, compared to capital expenditure (CapEx), which is a one-time investment like building a data center. The main advantage of this model is flexibility and efficiency: you can adjust resources based on demand and avoid paying for unused capacity.
Describe the benefits of high availability and scalability in the cloud
When building a cloud application, two key things to focus on are uptime (availability) and scalability (handling demand).
- High availability ensures your app or service is always available, even during disruptions. Cloud providers like Azure offer service-level agreements (SLAs) that guarantee availability.
- Scalability lets you adjust resources based on demand. You can add more resources when traffic increases and reduce them when demand drops, saving costs in the process.
There are two types of scaling:
- Vertical scaling: Increasing or decreasing the power of a single resource, like adding more CPU or RAM to a virtual machine.
- Horizontal scaling: Adding or removing multiple resources, like adding more virtual machines to handle more traffic, or reducing them when demand decreases.
This way, you ensure your app can handle varying traffic loads efficiently.
Describe the benefits of reliability and predictability in the cloud
Two key benefits of the cloud are reliability and predictability, which help you build stable and efficient solutions.
- Reliability means your system can recover from failures and keep working. Cloud providers like Azure have global regions, so even if one region fails, others keep running. This setup ensures that your applications can automatically shift to another region if needed, ensuring reliability.
- Predictability helps you plan for both performance and cost: Performance predictability ensures that your app performs well. Cloud features like autoscaling and load balancing automatically adjust resources to meet demand and keep things running smoothly. Cost predictability helps you forecast cloud spending. You can track usage in real-time, optimize resources, and use tools like the Total Cost of Ownership (TCO) or Pricing Calculator to estimate costs and plan ahead.
Describe the benefits of security and governance in the cloud
When using the cloud, whether for Infrastructure as a Service (IaaS) or Software as a Service (SaaS), there are features that support governance (rules and standards) and compliance (meeting regulations).
- Governance and Compliance: Cloud services provide templates to ensure all your resources meet company and legal standards. You can easily update resources to align with new standards. Cloud-based auditing helps identify any resources that aren’t compliant and offers ways to fix them. Automatic software updates also help maintain governance and security.
- Security Options: Depending on your needs, you can choose how much control you want over security: IaaS gives you control over physical resources and lets you manage the operating systems and software. Platform as a Service (PaaS) or SaaS handles updates and maintenance automatically, which is easier for users.
Cloud providers are also equipped to handle security threats, like distributed denial of service DDoS attacks, making your network safer.
By setting up strong governance from the start, you can ensure your cloud resources are secure and well-managed.
Describe the benefits of manageability in the cloud
Cloud computing offers great manageability options, which come in two forms: management of the cloud and management in the cloud.
This involves managing your cloud resources, allowing you to:
- Automatically scale resources up or down based on demand.
- Use preconfigured templates to deploy resources without manual setup.
- Monitor the health of resources and automatically replace any that fail.
- Get automatic alerts about performance, so you can see how everything is running in real-time.
This refers to how you manage your cloud environment and resources. You can do this through:
- A web portal
- Command line interface
- APIs (Application Programming Interfaces)
- PowerShell
These options make it easier to manage and control your cloud services efficiently.
Infrastructure as a Service (IaaS) is a flexible cloud service that gives you maximum control over your cloud resources. Here’s how it works:
- What IaaS Provides: The cloud provider manages the hardware, network connectivity, and physical security. You rent this hardware and are responsible for everything else, such as: Installing and configuring operating systems Managing network settings Configuring databases and storage
Shared Responsibility Model
In IaaS, most of the responsibility falls on you:
- Cloud Provider: Manages physical infrastructure and internet access.
- You: Handle installation, configuration, updates, and security.
Common Scenarios for IaaS
- Lift-and-Shift Migration: Move applications from your physical datacenter to IaaS without changing their architecture.
- Testing and Development: Quickly create and manage development and test environments, allowing for easy setup and teardown as needed.
IaaS is ideal for businesses that need flexibility and control over their cloud resources.
Platform as a Service (PaaS)
Platform as a Service (PaaS) is a cloud service that offers a balance between renting infrastructure (IaaS) and using fully deployed software (SaaS). Here’s what you need to know:
- Cloud Provider's Responsibilities: Manages physical infrastructure, security, and internet connection. Maintains operating systems, middleware, development tools, and business intelligence services.
- Your Responsibilities: Focus on developing and deploying applications without worrying about licensing, patching, or maintaining the underlying infrastructure.
Shared Responsibility Model
In PaaS, responsibilities are shared:
- Cloud Provider: Handles infrastructure, operating systems, and development tools.
- You: May manage networking settings, application security, and connectivity depending on the setup.
Common Scenarios for PaaS
- Development Framework: PaaS provides tools and frameworks that developers can use to build applications quickly, reducing coding effort.
- Analytics and Business Intelligence: PaaS offers services to analyze data, helping organizations gain insights and improve decision-making.
PaaS is ideal for developers who want to create applications efficiently without the burden of managing infrastructure.
Describe Software as a Service
Software as a Service (SaaS) is a cloud service model where you rent fully developed applications. Here’s a quick overview:
- Examples: Email services, financial software, and messaging applications.
- Ease of Use: SaaS is the easiest to set up and requires minimal technical knowledge.
Shared Responsibility Model
In SaaS, the responsibilities are divided as follows:
- User Responsibilities: Manage the data you input. Control the devices and users that access the application.
- Cloud Provider Responsibilities: Handle physical security, power, network connectivity, and application maintenance.
Common Scenarios for SaaS
- Email and Messaging: Services like Gmail and Slack.
- Business Productivity Applications: Tools like Microsoft Office 365 and Google Workspace.
- Finance and Expense Tracking: Applications like QuickBooks and Expensify.
SaaS is ideal for users who need ready-to-use software without the hassle of managing the underlying infrastructure.
What is Microsoft Azure and What does Azure offer?
Azure is a cloud platform offering a wide range of services to help businesses innovate and grow. It lets you build, manage, and deploy applications globally, using your preferred tools and frameworks.
- Innovation: Build intelligent apps and solutions with AI, machine learning, and cloud services.
- Unified Management: Seamlessly manage all your infrastructure, data, and AI across an integrated platform.
- Trust & Security: Rely on Azure's secure, trusted technology to run your operations confidently.
- Run your apps on virtual machines.
- Use advanced AI and machine learning to create intelligent bots and apps.
- Leverage scalable storage solutions for massive amounts of data.
Azure goes beyond traditional hosting and helps you explore cutting-edge technology for future business challenges.
The Microsoft Learn sandbox is a temporary, free Azure subscription that lets you create and test Azure resources during learning exercises. It’s automatically provided during certain Learn modules and cleans up resources after you're done. This allows you to practice using Azure without incurring any costs.
Describe Azure physical infrastructure
Azure Physical Infrastructure consists of:
- Datacenters: Physical locations with power, cooling, and networking resources. Azure datacenters are grouped into: Regions: Geographical areas with multiple datacenters. Availability Zones: Physically separate datacenters within a region, offering redundancy and protection from failures.
- Region Pairs: Two regions in the same geography, separated by at least 300 miles, that back up each other for resilience. Example pairs include West US-East US and Southeast Asia-East Asia.
- Sovereign Regions: Isolated Azure instances for specific legal or compliance needs, like US Gov Virginia or China North.
These elements ensure high availability, resiliency, and disaster recovery in Azure's global cloud infrastructure.
Describe Azure management infrastructure
Azure’s management infrastructure includes resources, resource groups, subscriptions, and management groups. Here's a concise breakdown:
- Azure Resources: Basic components (e.g., VMs, databases) you create or manage in Azure.
- Resource Groups: Logical containers for organizing related resources. Deleting a resource group deletes all resources within it.
- Subscriptions: Units for billing and access control. You can organize resource groups within subscriptions and create multiple subscriptions to separate environments, organizations, or billing needs.
- Management Groups: A level above subscriptions, used to apply policies and manage access across multiple subscriptions. They allow large-scale governance and can be nested into a hierarchical structure.
This organization helps manage resources efficiently, control access, and organize billing across Azure services.
Exercise - Create an Azure resource
Task 1: Create a virtual machine
In this task, you’ll create a virtual machine using the Azure portal.
- Sign in to the?Azure portal
.
- Select Create a resource > Compute > Virtual Machine > Create.
- The Create a virtual machine pane opens to the basics tab.
- Verify or enter the following values for each setting. If a setting isn’t specified, leave the default value.
Task 2: Verify resources created
Once the deployment is created, you can verify that Azure created not only a VM, but all of the associated resources the VM needs.
- Select Home.
- Select Resource groups.
- Select the [sandbox resource group name] resource group.
You should see a list of resources in the resource group. The storage account and virtual network are associated with the Learn sandbox. However, the rest of the resources were created when you created the virtual machine. By default, Azure gave them all a similar name to help with association and grouped them in the same resource group.
Congratulations! You've created a resource in Azure and had a chance to see how resources get grouped on creation.
The sandbox automatically cleans up your resources when you're finished with this module.
When you're working in your own subscription, it's a good idea at the end of a project to identify whether you still need the resources you created. Resources that you leave running can cost you money. You can delete resources individually or delete the resource group to delete the entire set of resources.
Describe Azure virtual machines
Azure Virtual Machines (VMs) offer Infrastructure as a Service (IaaS), providing virtualized servers with control over the operating system (OS), software, and hosting configurations. You can use VMs for custom software or hosting while Azure manages the physical infrastructure.
- Virtual Machine Scale Sets: Automate scaling by grouping identical VMs that auto-scale based on demand.
- Availability Sets: Group VMs across update domains (for reboot schedules) and fault domains (for power/network separation) to increase resiliency.
- Testing and Development: Quickly create or delete VMs for different setups.
- Cloud Applications: Scale with demand; pay only for resources used.
- Disaster Recovery: Use VMs for temporary operations during outages.
Azure VMs are ideal for migrating workloads from physical servers to the cloud, providing flexibility without managing physical hardware.
When you provision a VM, you’ll also have the chance to pick the resources that are associated with that VM, including:
- Size (purpose, number of processor cores, and amount of RAM)
- Storage disks (hard disk drives, solid state drives, etc.)
- Networking (virtual network, public IP address, and port configuration)
Describe Azure virtual desktop
Azure Virtual Desktop (AVD) is a cloud-based desktop and application virtualization service. It allows users to access a cloud-hosted version of Windows from any location, across various devices and operating systems.
- Centralized Security: Managed with Microsoft Entra ID, supports multifactor authentication (MFA), and uses role-based access control (RBAC).
- Data Security: Desktops and apps run in the cloud, reducing the risk of sensitive data being stored on personal devices.
- Multi-session: Supports Windows 10/11 Enterprise multi-session, allowing multiple users on a single VM.
This enables flexible remote work with enhanced security and broad application support.
Describe Azure containers
Azure Containers are a lightweight virtualization technology that allows you to run multiple applications on a single host without managing the underlying operating system, unlike virtual machines (VMs). Containers are agile, scalable, and designed to respond dynamically to changing demand.
- Containers: Virtualized environments running on a single host (physical or virtual). Unlike VMs, you don't manage the OS, making containers more lightweight and quicker to deploy.
- Azure Container Instances (ACI): A Platform as a Service (PaaS) offering that runs containers without the need to manage VMs or additional services. It’s the simplest way to run containers in Azure.
- Azure Container Apps: Similar to ACI but with additional features like load balancing and scaling, which makes your solution more elastic.
- Azure Kubernetes Service (AKS): A container orchestration service that simplifies managing a large fleet of containers by handling scaling, deployment, and lifecycle management.
Containers are ideal for microservice architecture, where applications are broken down into smaller, independent services (e.g., front end, back end, storage) that can be scaled and updated separately without affecting the whole application.
Azure Functions is a serverless, event-driven compute service that allows you to run small pieces of code (called functions) in the cloud without the need to provision or manage infrastructure like virtual machines or containers. Azure Functions automatically handle scaling, resource management, and billing based on the actual compute usage.
Key Features and Benefits:
- Serverless computing: You don’t need to manage or maintain servers, as the functions are triggered by events (like HTTP requests, timers, or messages from other Azure services) and run on demand.
- Cost-efficient: You only pay for the execution time and the compute power your functions consume while they are running, not when they’re idle.
- Event-driven architecture: Azure Functions are triggered by various events, making them ideal for applications that rely on event-driven workflows like data processing, real-time alerts, or automation tasks.
- Auto-scaling: Functions automatically scale up or down depending on the demand, which is useful for unpredictable workloads or workloads with varying usage patterns.
- Stateless and stateful options: Stateless (default): Functions behave as if they restart with each new event, without retaining previous state. Durable Functions (stateful): Enable state management, allowing you to chain functions and track workflows across multiple events.
- Microservices: Ideal for breaking down applications into smaller, independently deployed components.
- Automated workflows: Such as processing files in Azure Blob Storage, running background tasks, or responding to database changes.
- Webhooks or API calls: Respond to REST requests in real-time.
Azure Functions is a core part of the serverless computing model and provides flexibility for building efficient, scalable cloud applications with minimal infrastructure management.
Describe application hosting options
Azure provides several application hosting options, each designed to meet different needs based on the level of control, scalability, and the nature of the app. Here are the main hosting options:
1. Virtual Machines (VMs)
- Overview: VMs offer full control over the operating system and hosting environment, making them ideal for scenarios where you need to install custom software or configure specific OS settings.
- Use Cases: VMs are commonly used for traditional application hosting, running custom software, or legacy applications that need to be lifted and shifted to the cloud.
- Pros: Maximum control over the environment.
- Cons: Requires more management, including handling updates, scaling, and performance optimization.
- Overview: Containers provide isolated, lightweight environments to run applications. Containers encapsulate the application and its dependencies, making deployment more consistent across different environments.
- Use Cases: Ideal for microservices, modular applications, or when you need fast scaling and consistent deployment across different environments.
- Pros: Lightweight, portable, and faster to scale.
- Cons: Requires container orchestration for managing many containers (e.g., with Azure Kubernetes Service).
- Overview: Azure App Service is a Platform as a Service (PaaS) offering that simplifies the hosting of web apps, REST APIs, mobile back ends, and more without needing to manage underlying infrastructure.
- Features: Supports automatic scaling, continuous deployment from source control (e.g., GitHub, Azure DevOps), and high availability. It also supports multiple languages (like .NET, Java, Node.js, Python, PHP, and Ruby) on both Windows and Linux.
- Use Cases: Hosting web apps (e.g., ASP.NET
, Java, or PHP websites). Hosting APIs (e.g., REST-based APIs). Running background tasks via WebJobs. Hosting mobile back ends (e.g., iOS and Android back-end services).
- Pros: Simplifies infrastructure management and handles high traffic with built-in scaling and load balancing.
- Cons: Limited control over the underlying environment compared to VMs.
4. Azure Kubernetes Service (AKS)
- Overview: AKS is a container orchestration service that simplifies deploying, managing, and scaling containers using Kubernetes. It helps manage large-scale containerized applications with features like scaling, networking, and monitoring.
- Use Cases: Ideal for managing microservices architectures, where applications are broken down into smaller, independently managed components.
- Pros: Provides automation, scaling, and flexibility for complex workloads.
- Cons: Requires familiarity with Kubernetes for managing deployments.
- Overview: A serverless computing option where you write small pieces of code (functions) that run on demand, triggered by events like HTTP requests or timers. No need to manage servers or infrastructure.
- Use Cases: Ideal for event-driven, stateless operations like background tasks, scheduled jobs, or real-time data processing.
- Pros: Cost-effective, scales automatically, and requires no server management.
- Cons: Best suited for short-running, stateless workloads.
Each of these options provides different levels of control and management, making it easier to choose the right solution based on the needs of your application, whether you require maximum control (VMs), fast scaling (containers), or a fully managed platform (App Service and Azure Functions).
Describe Azure virtual networking
Azure Virtual Networking (VNet) enables Azure resources, like VMs and databases, to communicate securely with each other, the internet, and on-premises networks.
Azure virtual networking supports both public and private endpoints to enable communication between external or internal resources with other internal resources.
- Public endpoints have a public IP address and can be accessed from anywhere in the world.
- Private endpoints exist within a virtual network and have a private IP address from within the address space of that virtual network.
- Isolation and Segmentation: Create isolated virtual networks with private IPs and subnets.
- Internet Communication: Public endpoints enable access from the internet, while private endpoints are used for internal communication.
- Azure Resource Communication: Azure services like VMs and databases can securely communicate.
- On-Premises Connectivity: Connect on-premises and Azure resources via VPN or ExpressRoute for private links.
- Traffic Routing: Use custom route tables to control traffic, or allow Azure to handle it automatically.
- Traffic Filtering: Use Network Security Groups (NSGs) and virtual appliances for security.
- Connect virtual networks: Connect multiple virtual networks privately across regions using the Azure backbone network.
These features allow for secure, scalable, and flexible networking across both Azure and on-premises environments.
Describe Azure virtual private networks
Azure Virtual Private Networks (VPNs) provide secure, encrypted connections between private networks over the public internet. This allows organizations to safely share sensitive information across untrusted networks.
- VPN Gateway: Connects Azure virtual networks to on-premises networks or other virtual networks. Traffic is encrypted in a private tunnel.
- Types of VPNs: Policy-based: Encrypts traffic based on static IP address rules. Route-based: Uses IP routing for flexible, resilient connectivity, ideal for complex environments.
- High Availability Options: Active/Standby: Automatically switches to a standby instance during maintenance or failure. Active/Active: Uses two public IPs for simultaneous connections to ensure better uptime. ExpressRoute Failover: Provides a secure backup connection for ExpressRoute outages. Zone-redundant gateways: Ensures higher availability by deploying VPN gateways across Azure availability zones.
This approach provides secure, flexible, and highly available network connectivity between Azure and other networks.
Describe Azure ExpressRoute
Azure ExpressRoute is a service that creates a private, high-speed connection between your on-premises network and Microsoft cloud services (like Azure and Microsoft 365) without using the public internet. This improves security, reliability, speed, and provides consistent low latency.
- Private Connection: Connects to Microsoft cloud services through a dedicated circuit provided by a connectivity provider.
- Global Connectivity: With ExpressRoute Global Reach, you can connect multiple on-premises locations across different regions.
- Dynamic Routing: Uses BGP (Border Gateway Protocol) for dynamic routing between your network and Azure.
- Built-in Redundancy: Offers high availability with redundant devices at each peering location.
- CloudExchange Colocation: Connect from your colocated datacenter at a cloud exchange.
- Point-to-Point Ethernet: Direct connection from your facility to Azure.
- Any-to-Any Networks: Integrate your WAN with Azure for broad connectivity.
- Direct from ExpressRoute Sites: Direct, high-speed connections at peering locations worldwide.
Security: Data travels through a private connection, enhancing security by avoiding the public internet.
Azure DNS is a service that hosts DNS domains and provides name resolution using Microsoft Azure's infrastructure. It allows you to manage DNS records for your domains, with the same tools and credentials used for other Azure services.
- Reliability & Performance: Uses Azure's global DNS network for fast, reliable responses via anycast networking.
- Security: Offers role-based access control (RBAC), activity logs, and resource locking to secure your DNS management.
- Ease of Use: Integrated with Azure portal, PowerShell, CLI, and APIs, allowing easy management and automation.
- Custom Domains: Supports private DNS domains for custom domain names within virtual networks.
- Alias Records: Can link to Azure resources (e.g., IP addresses, Traffic Manager) and automatically update when the underlying resource's IP changes.
Note: Azure DNS does not sell domain names but can manage them once purchased from third-party registrars.
Describe Azure storage accounts
An Azure Storage Account provides a unique namespace for your data, accessible worldwide via HTTP or HTTPS. It ensures secure, highly available, durable, and scalable storage.
When creating a storage account, you choose the account type, which determines supported services and redundancy options for data protection. These redundancy options include:
- Locally Redundant Storage (LRS)
- Geo-Redundant Storage (GRS)
- Read-Access Geo-Redundant Storage (RA-GRS)
- Zone-Redundant Storage (ZRS)
- Geo-Zone-Redundant Storage (GZRS)
- Read-Access Geo-Zone-Redundant Storage (RA-GZRS)
Each storage account also gets a unique endpoint, ensuring a globally accessible namespace in Azure.
Describe Azure storage redundancy
Azure Storage redundancy ensures your data is protected and highly available by creating multiple copies of it. There are two key types of redundancy:
- Primary Region Redundancy: Locally Redundant Storage (LRS): Data is replicated three times within one data center. 11 nines Zone-Redundant Storage (ZRS): Data is replicated across three availability zones for higher durability and availability. 12 nines
- Secondary Region Redundancy (for regional disaster protection): Geo-Redundant Storage (GRS): Data is replicated to another region asynchronously. 16 nines Geo-Zone-Redundant Storage (GZRS): Combines ZRS in the primary region and replicates data to another region. 16 nines
For read access in the secondary region, RA-GRS or RA-GZRS options are available. RA= Read access
Describe Azure storage services
Azure Storage offers a variety of services designed for different use cases, allowing developers and IT professionals to store, manage, and access data in a secure and scalable way. The main services and their key features include:
- Purpose: Massively scalable object store for text and binary data.
- Use Cases: Suitable for large amounts of unstructured data such as images, video files, or backups. It also supports big data analytics through Data Lake Storage Gen2.
- Access: Objects (blobs) can be accessed from anywhere using URLs, APIs, or client libraries.
- Storage Tiers: Offers flexible tiers (Hot, Cool, Cold, Archive) to optimize storage costs based on access frequency.
- Purpose: Managed file shares for cloud or on-premises use, accessible via SMB and NFS protocols.
- Use Cases: Ideal for migrating existing on-premises file shares to the cloud without compatibility issues.
- Key Features: Can be mounted concurrently by on-premises and cloud deployments. Azure File Sync allows for fast access near where data is being used.
- Purpose: A reliable messaging store for asynchronous communication between application components.
- Use Cases: Useful for queueing tasks, such as processing background jobs in applications. Each message can be up to 64 KB, and queues can hold millions of messages.
- Purpose: Block-level storage volumes for Azure VMs.
- Use Cases: Used as virtualized hard disks for Azure Virtual Machines (VMs). Offers high availability and resilience with minimal management.
- Purpose: A NoSQL datastore for structured, non-relational data.
- Use Cases: Ideal for storing large amounts of semi-structured data that don’t require relational database features. Works well for scenarios requiring fast access to large datasets.
Key Benefits of Azure Storage Services
- Durable and Highly Available: Data is protected against failures through redundancy (local or geographic).
- Secure: All data is encrypted, and access control is fine-grained.
- Scalable: Azure Storage is designed to scale with the needs of modern applications, handling massive volumes of data.
- Managed: Azure takes care of hardware maintenance, updates, and management, freeing up IT resources.
- Accessible: Data is accessible globally over HTTP/HTTPS, with a range of client libraries and APIs for easy integration across different platforms.
These services offer flexibility, allowing you to tailor your storage solutions based on your specific application or organizational needs.
Identify Azure data migration options
Azure provides two main options for migrating data to its cloud services: Azure Migrate and Azure Data Box.
- What it does: Helps move your on-premises infrastructure, apps, and data to Azure.
- Key Features: Unified platform to track and manage migration. Tools for assessing and migrating servers, databases, and websites.
·?????? Integrated tools like :
- ?Azure Migrate: Discovery and Assessment: Identifies and assesses VMware, Hyper-V, and physical servers for migration to Azure.
- ?Azure Migrate: Server Migration: Migrates VMs (VMware, Hyper-V), physical servers, and public cloud VMs to Azure.
- ?Data Migration Assistant: Evaluates SQL Servers for migration, identifying potential issues and migration paths.
- ?Azure Database Migration Service: Migrates on-premises databases to Azure SQL options.
- ?Azure App Service Migration Assistant: Assesses and migrates .NET and PHP web apps to Azure App Service.
- ?Azure Data Box: Transfers large volumes of offline data to Azure using physical devices.
- Use Cases: Migrating virtual machines (VMs), physical servers, databases, and web applications.
- What it does: Physically transfers large volumes of data (up to 80 TB) using a secure device.
- How it works: Azure ships a device to your location, you load the data, and send it back for Azure to upload.
- Use Cases: Ideal for moving large datasets when network transfer isn't practical, for one-time or periodic transfers, and disaster recovery.
In short, Azure Migrate is for real-time or online migrations, while Azure Data Box is for transferring massive amounts of data offline using a physical device.
Identify Azure file movement options
Azure provides several tools for moving or managing individual files or small groups of files:
- AzCopy: A command-line tool to copy files or blobs to/from Azure Storage. You can upload, download, or sync files. It's a one-way sync, meaning it only copies files from the source to the destination.
- Azure Storage Explorer: A graphical app to manage files in Azure Storage. You can upload, download, or move files between accounts, and it uses AzCopy in the background.
- Azure File Sync: Syncs your on-premises Windows file server with Azure Files. It allows bi-directional syncing, meaning changes made in either location are updated in both. You can access files locally using standard Windows protocols like SMB, and cloud tiering ensures frequently accessed files are stored locally, while others stay in the cloud.
These tools help you efficiently move or manage your files between on-premises environments and Azure.
Describe Azure directory services
Azure Directory Services mainly revolves around Microsoft Entra ID (formerly known as Azure Active Directory) and Microsoft Entra Domain Services. Here's a simplified overview:
- Microsoft Entra ID: It’s a cloud-based identity and access management service. You can use it to sign in and manage access to Microsoft services (like Microsoft 365) and any cloud apps you develop. It helps secure identities by providing features like single sign-on (SSO), multifactor authentication, and password resets. It’s great for IT admins, developers, and users to manage access, develop apps with secure logins, and perform tasks like password resets. You can also connect your on-premises Active Directory (AD) with Microsoft Entra ID to unify your identity management between the cloud and on-premises. This is done using Microsoft Entra Connect, which keeps user identities synced.
- Microsoft Entra Domain Services: This service provides traditional domain services (like domain join, group policy, and LDAP) in the cloud, without needing to manage domain controllers. It’s useful for running legacy applications in the cloud that can’t use modern authentication or for simplifying the management of AD services in Azure. It synchronizes with Microsoft Entra ID so that users can sign in with their existing credentials and use common domain features in the cloud.
In short, Microsoft Entra ID handles cloud identity management, and Microsoft Entra Domain Services provides traditional AD services in the cloud. Both make it easier to manage users and resources in both on-premises and cloud environments.
Describe Azure authentication methods
Azure offers several authentication methods to verify who you are when accessing apps or services. Here’s a simple breakdown:
- Passwords: The most common way to sign in, but not very secure on their own. It's like showing your ID card, but it's not the safest option.
- Single Sign-On (SSO): With SSO, you log in once and get access to multiple apps or services without needing to sign in again for each one. It simplifies things, so you only have to remember one set of login details.
- Multifactor Authentication (MFA): MFA adds an extra layer of security. After entering your password, you'll also need something else, like a code sent to your phone or a fingerprint scan. This way, even if someone has your password, they can't log in without that second factor.
- Passwordless Authentication: With passwordless methods, you don’t need to remember a password. Instead, you can use something like: Windows Hello for Business: A fingerprint or face scan linked to your computer. Microsoft Authenticator App: A notification on your phone where you confirm your identity with a PIN or fingerprint. FIDO2 Security Keys: A physical key (like a USB stick) that you use to log in, replacing the need for a password.
In summary, Azure supports both traditional passwords and more advanced methods like SSO, MFA, and passwordless options to ensure both convenience and high security.
Describe Azure external identities
Azure External Identities allow people from outside your organization to access your apps and resources securely, using their own login credentials. This is useful when you need to work with partners, vendors, or even customers.
Here’s a simple explanation:
- External users (like partners or customers) can sign in using their existing accounts, such as Google or Facebook, or even their work accounts. This way, they don’t need to create a new username and password for your system.
- Business-to-Business (B2B) collaboration allows these external users to use their preferred identity to access your company’s apps, just like your internal employees. You control what they can access.
- B2B Direct Connect lets organizations connect directly, like through Teams, without needing to add users to your system. You can collaborate while the external users stay in their home systems.
- Business-to-Customer (B2C) is for consumer apps, allowing users (like customers) to log in with their own social media or other accounts to access apps you build for them.
In short, Azure External Identities make it easy and secure to let people from outside your organization work with your apps or services using their existing accounts.
Describe Azure conditional access
Azure Conditional Access is a security feature that helps control who can access your organization's resources based on certain conditions. Think of it like a security guard who checks different factors before allowing someone in. Here’s how it works:
- Identity Signals: When someone tries to access a resource (like an app or data), Conditional Access looks at different signals: Who is trying to access (the user). Where they are trying to access it from (their location). What device they are using (like a company laptop vs. a personal phone).
- Decision Making: Based on these signals, Conditional Access makes a decision: If the user is at their usual location and using a trusted device, they might be allowed full access. If they are trying to access from an unusual or risky location, they might be blocked or asked for extra verification (like a code sent to their phone).
- Enforcement: Once a decision is made, Conditional Access enforces it by either allowing access, denying access, or requiring additional authentication (like a password or a fingerprint).
When to Use Conditional Access:
- Require Extra Security: You can require users to provide a second form of authentication (like a code sent to their phone) depending on their role or location.
- Limit Applications: You can restrict access to only certain apps or devices that meet your security standards.
- Block Untrusted Access: If someone tries to access from a location or device that isn't trusted, you can block that access.
In summary, Azure Conditional Access helps keep your organization secure by making sure only the right people can access your resources under the right conditions.
Describe Azure role-based access control
Azure Role-Based Access Control (RBAC) is a system for managing user access to resources in your cloud environment, ensuring that people have the permissions they need without unnecessary privileges. Here’s a simplified overview:
- Roles: Azure provides built-in roles (like "Reader" for viewing and "Owner" for full control) that bundle common permissions. You can also create custom roles tailored to specific needs.
- Role Assignments: Instead of assigning permissions individually, you assign users or groups to a role. For example, when a new engineer joins, adding them to the "Engineer" role grants them the same access as others in that role.
- Scopes: Roles are assigned to specific scopes, which can be: Management Group: A collection of subscriptions. Subscription: A single Azure subscription. Resource Group: A group of related resources. Single Resource: A specific Azure resource.
- Hierarchy: RBAC is hierarchical, meaning that if you grant permissions at a higher level (like a management group), those permissions are inherited by all lower levels (like subscriptions and resource groups).
- Enforcement: Azure Resource Manager enforces RBAC by managing actions taken on resources. It uses an “allow” model, meaning if you have permissions from multiple roles, you can perform any actions those roles allow.
RBAC simplifies access management, making it easier to control permissions for large teams. By grouping users into roles, you can quickly add or remove access, maintaining security and minimizing risks in your Azure environment.
Describe Zero Trust model
The Zero Trust model is a security approach that assumes every access request is a potential threat, regardless of whether it's from inside or outside the organization. Here’s a simplified overview:
- Verify Explicitly: Always check the identity and context of users and devices before granting access.
- Least Privilege Access: Give users the minimum access they need to do their jobs. This limits the potential damage if an account is compromised.
- Assume Breach: Act as if a breach has already happened. This means segmenting access, encrypting data, and using analytics to monitor for threats.
Transitioning to Zero Trust:
- Traditional Security: Previously trusted devices inside the corporate network while restricting external access.
- Zero Trust: Requires authentication for every access request, regardless of location. This ensures only authorized users can access resources.
- Better Security: Reduces the risk of attacks by verifying every request.
- Supports Remote Work: Allows secure access from any device or location.
- Compliance: Helps meet regulatory standards by enforcing strict access controls.
In essence, Zero Trust enhances security by treating every access request as potentially unsafe, ensuring that only the right people get access to the right resources.
Describe defense-in-depth
Defense-in-Depth is a security strategy that protects sensitive information using multiple layers of defense. This approach ensures that if one layer is breached, others are still in place to prevent unauthorized access. Here’s a simplified breakdown:
- Physical Security: Protects data centers and hardware with locks, cameras, and controlled access.
- Identity and Access: Ensures only authorized users can access systems, using strong passwords and multi-factor authentication.
- Perimeter Security: Shields against external attacks with firewalls and DDoS protection to filter out harmful traffic.
- Network Security: Controls communication between resources, limiting access to reduce the risk of attacks spreading.
- Compute Security: Secures servers and virtual machines by keeping software updated and using antivirus protection.
- Application Security: Integrates security measures during the development of applications to reduce vulnerabilities.
- Data Security: Protects sensitive data stored in databases and cloud services, ensuring it is accessible only to authorized users.
By combining these layers, defense-in-depth provides a comprehensive security framework that slows down attacks and enhances data protection. Each layer acts as an additional barrier, making it harder for attackers to succeed.
Describe Microsoft Defender for Cloud
Microsoft Defender for Cloud is a security tool designed to help organizations manage their security posture and protect against cyber threats across various environments, including cloud, on-premises, and hybrid setups. Here’s a simplified overview:
- Continuous Monitoring: It continuously assesses the security of your resources, identifying vulnerabilities and providing guidance on how to improve your security posture.
- Protection Across Environments: Azure Services: Automatically monitors and secures many Azure services without extra setup. Hybrid & Multi-Cloud: Can protect on-premises servers and resources in other clouds (like AWS and Google Cloud) using Azure Arc.
- Threat Detection: Detects potential threats to your resources and generates alerts that include details and remediation steps.
- Secure Configuration: Offers recommendations based on Azure Security Benchmark guidelines to help you secure your workloads and reduce vulnerabilities.
- Advanced Threat Protection: Provides features like just-in-time VM access and adaptive application controls to protect your resources from attacks.
- Assess: Regularly check your security posture and identify vulnerabilities.
- Secure: Apply security policies tailored to your environment.
- Defend: Detect threats and provide alerts for quick response.
By using Microsoft Defender for Cloud, organizations can better protect their data and resources, streamline security management, and enhance their overall security strategies.
Describe factors that can affect costs in Azure
Several key factors affect Azure costs:
- Resource Type: The type of resource (VM, storage, database) and settings (region, performance tier) influence costs. Larger resources or specific regions may cost more.
- Consumption: Pay-as-you-go means you pay for what you use. Reserved resources offer discounts for consistent workloads, while extra usage is billed at regular rates.
- Maintenance: Regularly monitor and clean up unused resources (like storage or networking) to avoid unnecessary costs.
- Geography: Costs vary between regions due to local factors like energy prices. Data transfers between regions may also incur charges.
- Network Traffic: Inbound transfers are often free, but outbound data (leaving Azure) is charged based on geographic zones.
- Subscription Type: Some subscriptions offer free services or usage credits. Enterprise agreements may include discounts.
- Azure Marketplace: Third-party solutions in the marketplace may add to costs, as you pay for both Azure and the vendor's service.
Compare the Pricing and Total Cost of Ownership calculators
The Pricing Calculator and the Total Cost of Ownership (TCO) Calculator are two tools to help estimate Azure costs, but they serve different purposes:
- Pricing Calculator: This tool helps you estimate how much it will cost to use Azure resources, like virtual machines, storage, and networking. You can build a solution and see an estimate of your Azure spending, but it’s only a rough estimate, not an actual charge.
- TCO Calculator: This tool is for comparing costs between running infrastructure on-premises versus in Azure. You input your current setup (servers, storage, network) and it shows you the cost differences between maintaining that infrastructure on-prem and moving it to Azure.
- Pricing Calculator estimates costs for new Azure services.
- TCO Calculator compares costs of your current setup versus moving to Azure.
Describe the Microsoft Cost Management tool
Microsoft Cost Management is a tool that helps you monitor and control your spending on Azure resources. It allows you to track costs, set budgets, and create alerts when you’re approaching spending limits.
Here’s how it works in simple terms:
- Cost Analysis: Lets you visualize your spending over time, by region, or by specific resources. It helps you see where your money is going and identify trends.
- Cost Alerts: Notifies you when your spending reaches certain levels. There are three types: Budget Alerts: Notify you when you’re nearing or exceeding your set budget. Credit Alerts: Warn you when your Azure credit (for Enterprise Agreements) is running out. Department Spending Alerts: Inform department heads when their spending hits set limits.
- Budgets: You can set spending limits on your subscriptions or resource groups. When you hit a limit, alerts are triggered, and you can even automate actions like shutting down resources to avoid further charges.
In short, it’s a tool that helps you stay on top of your Azure costs and avoid surprises on your bill.
Describe the purpose of tags
Tags in Azure are a way to help you stay organized as your cloud usage grows. They add extra information (metadata) to your resources, which can be useful in several areas:
- Resource Management: Tags help you easily find and manage resources based on specific categories, like workloads or owners.
- Cost Management & Optimization: Tags group resources together so you can track costs, allocate budgets, and forecast expenses more effectively.
- Operations Management: Tags allow you to group resources by how critical they are to your business, helping you plan service-level agreements (SLAs).
- Security: Tags classify resources by their security level, like "public" or "confidential," helping you manage sensitive data.
- Governance & Compliance: Tags ensure resources meet governance or regulatory standards and can enforce standards, like tagging all resources with an owner.
- Workload Optimization & Automation: Tags visualize resources involved in complex setups, which can be helpful for automating tasks using tools like Azure DevOps.
You can add, edit, or remove tags using different tools like PowerShell, Azure CLI, Azure Portal, or Azure Policy. Azure Policy can enforce tagging rules, such as requiring specific tags for new resources.
- AppName: The app that the resource belongs to.
- CostCenter: Code for internal cost allocation.
- Owner: Business owner responsible for the resource.
- Environment: Environment like "Prod" or "Dev."
- Impact: Importance to the business, like "Mission-critical."
Not all resources need the same tags; for instance, only mission-critical resources might have an "Impact" tag.
Describe the purpose of Microsoft Purview
Microsoft Purview is a set of data governance, risk, and compliance tools that gives you a unified view of your data, whether it's on-premises, in the cloud, or in software services.
- Automated Data Discovery: Automatically find and organize your data.
- Sensitive Data Classification: Identify and categorize sensitive data.
- End-to-End Data Lineage: Track how data flows through your systems.
Microsoft Purview Solutions:
- Risk and Compliance: Manages sensitive data across Microsoft 365 services like Teams, OneDrive, and Exchange. Helps protect data, manage regulatory compliance, and identify risks.
- Unified Data Governance: Manages data across on-premises, cloud (Azure, SQL, Amazon S3), and databases. Maps and classifies data, tracks usage, and secures data access at scale.
In short, Microsoft Purview helps manage, secure, and govern your entire data landscape efficiently.
Describe the purpose of Azure Policy
Azure Policy helps ensure that your resources in Azure stay compliant with company standards by creating, assigning, and managing policies that audit or control configurations.
- Policy Definition: Create individual policies or groups of policies (initiatives) to enforce rules.
- Compliance: Azure Policy checks resources against policies and flags noncompliant ones. It can even block noncompliant resources from being created.
- Policy Levels: Policies can be applied at resource, group, or subscription levels. Policies at higher levels are inherited by lower ones.
- Remediation: Azure Policy can automatically fix noncompliant resources, like adding missing tags, but you can set exceptions if needed.
- Built-in Policies: Azure Policy includes predefined policies for areas like storage, networking, and security.
- Initiatives are groups of related policies aimed at a broader compliance goal, like security monitoring in Azure Security Center. They bundle multiple policies to simplify management and tracking.
In short, Azure Policy helps manage and enforce compliance across your Azure resources, ensuring they follow your organization's standards.
Describe the purpose of resource locks
Resource Locks are used to prevent accidental deletion or modification of Azure resources.
- Resource locks ensure that critical resources are protected, even if users have the necessary permissions through Azure role-based access control (RBAC).
- Delete Lock: Users can read and modify the resource but cannot delete it.
- ReadOnly Lock: Users can only read the resource; they cannot delete or update it.
- Resource locks can be applied to individual resources, resource groups, or subscriptions and are inherited by all resources within a group.
- You can manage these locks through the Azure portal, PowerShell, or Azure CLI.
Changing or Deleting Locked Resources:
To modify a locked resource, you must first remove the lock. After removing it, you can perform any allowed actions. Resource locks enforce protection regardless of user permissions.
Describe the purpose of the Service Trust portal
Service Trust Portal is a Microsoft portal that provides information about its security, privacy, and compliance practices.
- The portal gives access to resources detailing how Microsoft protects its cloud services and customer data.
Accessing the Service Trust Portal:
- You can visit the portal at https://servicetrust.microsoft.com/
.
- To access certain resources, you need to log in with a Microsoft cloud services account and accept a non-disclosure agreement for compliance materials.
- Home: Quick access to the portal's main page.
- My Library: Save and access documents quickly; set notifications for updates on saved documents.
- All Documents: A central location for all documents available on the portal, with the option to pin them to your library.
- Reports and documents are available for at least 12 months after publication or until a new version is released.
Describe tools for interacting with Azure
Tools for Interacting with Azure help you manage your Azure environment effectively. Here are the main tools:
- A web-based interface for managing your Azure subscription through a graphical user interface (GUI).
- You can build, manage, and monitor resources, create custom dashboards, and configure accessibility options.
- It is resilient, continuously available, and updates without downtime.
- A browser-based shell tool for managing Azure resources.
- Supports both Azure PowerShell and Azure CLI (Bash shell).
- Requires no local installation and automatically uses your Azure credentials for authentication.
- A command-line tool for developers and IT professionals to run commands (cmdlets) that interact with Azure.
- You can perform management tasks, automate actions, and orchestrate complex operations.
- Available via Azure Cloud Shell or can be installed on Windows, Linux, and Mac.
- Similar to Azure PowerShell but uses Bash commands instead of PowerShell commands.
- Ideal for handling tasks and orchestrating operations through code.
- Installable on Windows, Linux, and Mac, and accessible via Azure Cloud Shell.
Both Azure PowerShell and Azure CLI offer similar functionalities; the choice between them depends on which command language you prefer.
Describe the purpose of Azure Arc
Azure Arc simplifies the management of hybrid and multi-cloud environments. It allows you to:
- Unified Management: Manage both Azure and non-Azure resources (like on-premises and multi-cloud resources) through Azure Resource Manager (ARM).
- Consistent Control: Treat resources outside Azure (like virtual machines and Kubernetes clusters) as if they are running in Azure, using familiar tools.
- Hybrid IT Operations: Continue traditional IT operations while adopting modern DevOps practices.
- Custom Locations: Set up custom locations on Azure Arc-enabled Kubernetes clusters for flexible management.
Resource Types Managed by Azure Arc
Azure Arc currently supports:
- Servers
- Kubernetes Clusters
- Azure Data Services
- SQL Server
- Virtual Machines (in preview)
In short, Azure Arc provides a centralized way to manage diverse resources across various environments.
Describe Azure Resource Manager and Azure ARM templates
Azure Resource Manager (ARM)
Azure Resource Manager (ARM) is the service used for deploying and managing Azure resources. It handles requests from various Azure tools, APIs, and SDKs, ensuring consistent management across your resources. When you perform actions like creating or updating resources, ARM is the service that processes these requests.
Benefits of Azure Resource Manager:
- Declarative Templates: Use templates (JSON files) to define and deploy Azure resources instead of writing scripts.
- Group Management: Manage multiple resources together rather than individually.
- Consistent Deployment: Re-deploy resources reliably across different stages of development.
- Dependency Management: Define how resources relate to each other for proper deployment order.
- Access Control: Integrate Role-Based Access Control (RBAC) for security.
- Resource Tagging: Organize and track costs using tags.
ARM templates are JSON files that specify the resources you want to deploy in Azure. They allow for the automated creation of resources and ensure that they are set up correctly.
Benefits of ARM Templates:
- Declarative Syntax: You specify what you want without detailing the step-by-step process.
- Repeatability: Use the same template to create identical environments.
- Orchestration: ARM manages the order of resource creation and can deploy resources in parallel.
- Modularity: Break templates into smaller components for easier management.
- Extensibility: Include PowerShell or Bash scripts within templates for additional setup.
Bicep is a simpler, more concise language for writing infrastructure as code in Azure. It allows you to define your Azure resources similarly to ARM templates but with easier syntax.
- Support for All Resource Types: Instantly access new Azure services and versions.
- Simple Syntax: Easier to read and write than JSON templates.
- Repeatability: Deploy the same Bicep file multiple times for consistent results.
- Orchestration: Resource Manager manages resource creation order automatically.
- Modularity: Create reusable modules for related resources to simplify your code.
In summary, both ARM and Bicep provide powerful ways to manage Azure resources effectively and consistently.
Describe the purpose of Azure Advisor
Azure Advisor is a tool that assesses your Azure resources and provides recommendations to enhance various aspects of your cloud environment. Its main goals are to improve reliability, security, performance, operational efficiency, and cost management.
- Recommendations: Azure Advisor suggests actions you can take immediately, postpone, or dismiss based on your specific needs.
- Access: You can view recommendations through the Azure portal or API and set up notifications for new suggestions.
- Personalized Dashboard: The Advisor dashboard shows tailored recommendations for your subscriptions, allowing you to filter by specific subscriptions, resource groups, or services.
Recommendation Categories:
- Reliability: Ensures your critical applications run smoothly and continuously.
- Security: Identifies potential threats and vulnerabilities to protect your resources.
- Performance: Suggests improvements to enhance application speed and responsiveness.
- Operational Excellence: Promotes efficiency in processes and resource management.
- Cost: Helps you optimize and reduce your Azure spending.
In summary, Azure Advisor acts as a guide to help you maximize the efficiency and security of your Azure environment while managing costs effectively.
Describe Azure Service Health
Azure Service Health helps you monitor the status of your Azure resources and the overall Azure infrastructure. It combines three key services to provide a comprehensive view:
- Azure Status: This shows the global health of Azure services across all regions, informing you about widespread outages and issues.
- Service Health: This focuses specifically on the Azure services and regions you use. It provides updates on service interruptions, planned maintenance, and alerts for any changes affecting your services.
- Resource Health: This gives a detailed view of the health of your individual Azure resources, like specific virtual machines. You can set up alerts for any availability changes.
Together, these services provide a complete picture of your Azure environment, from the global status down to your specific resources. You can also access historical alerts for trend analysis and receive links to support if your workload is impacted by any issues.
Azure Monitor is a comprehensive platform for collecting and analyzing data from your Azure resources, on-premises setups, and even multi-cloud environments. It helps you monitor performance, visualize data, and respond to critical events.
- Data Collection: Azure Monitor gathers logging and metric data from all layers of your application architecture, including applications, operating systems, and networks.
- Data Storage: The collected data is stored in central repositories, allowing easy access for analysis.
- Data Visualization: You can view both real-time and historical performance data. Azure Monitor provides high-level dashboards and allows custom views using tools like Power BI and Kusto queries.
- Alerts: Azure Monitor Alerts notify you when certain thresholds are crossed, enabling real-time responses. You can set up alerts based on logs or metrics, and they can trigger notifications via SMS or email.
- Azure Log Analytics: This tool allows you to write and run log queries on the collected data for detailed analysis, trend identification, and reporting.
- Application Insights: A feature of Azure Monitor that tracks the performance of web applications. It can monitor request rates, response times, failure rates, and more, regardless of where the application is hosted.
Azure Monitor enables proactive management of resources and applications, helping you ensure optimal performance and respond effectively to issues.
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