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Azure Monitor is a platform for collecting data on your resources, analyzing that data, visualizing the information, and even acting on the results. Azure Monitor can monitor Azure resources, your on-premises resources, and even multi-cloud resources like virtual machines hosted with a different cloud provider.

Azure Log Analytics

Azure Log Analytics is the tool in the Azure portal where you’ll write and run log queries on the data gathered by Azure Monitor. Log Analytics is a robust tool that supports both simple, complex queries, and data analysis. You can write a simple query that returns a set of records and then use features of Log Analytics to sort, filter, and analyze the records. You can write an advanced query to perform statistical analysis and visualize the results in a chart to identify a particular trend. Whether you work with the results of your queries interactively or use them with other Azure Monitor features such as log query alerts or workbooks, Log Analytics is the tool that you’re going to use to write and test those queries.

Azure Monitor Alerts

Azure Monitor Alerts are an automated way to stay informed when Azure Monitor detects a threshold being crossed. You set the alert conditions, the notification actions, and then Azure Monitor Alerts notifies when an alert is triggered. Depending on your configuration, Azure Monitor Alerts can also attempt corrective action.

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Microsoft Azure provides a global cloud solution to help you manage your infrastructure needs, reach your customers, innovate, and adapt rapidly. Knowing the status of the global Azure infrastructure and your individual resources may seem like a daunting task. Azure Service Health helps you keep track of Azure resource, both your specifically deployed resources and the overall status of Azure. Azure service health does this by combining three different Azure services:

• Azure Status is a broad picture of the status of Azure globally. Azure status informs you of service outages in Azure on the Azure Status page. The page is a global view of the health of all Azure services across all Azure regions. It’s a good reference for incidents with widespread impact.
• Service Health provides a narrower view of Azure services and regions. It focuses on the Azure services and regions you’re using. This is the best place to look for service impacting communications about outages, planned maintenance activities, and other health advisories because the authenticated Service Health experience knows which services and resources you currently use. You can even set up Service Health alerts to notify you when service issues, planned maintenance, or other changes may affect the Azure services and regions you use.
• Resource Health is a tailored view of your actual Azure resources. It provides information about the health of your individual cloud resources, such as a specific virtual machine instance. Using Azure Monitor, you can also configure alerts to notify you of availability changes to your cloud resources.

By using Azure status, Service health, and Resource Health, Azure Service Health gives you a complete view of your Azure environment-all the way from the global status of Azure services and regions down to specific resources. Additionally, historical alerts are stored and accessible for later review. Something you initially thought was a simple anomaly that turned into a trend, can readily be reviewed and investigated thanks to the historical alerts.

Finally, in the event that a workload you’re running is impacted by an event, Azure Service Health provides links to support.

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Azure Advisor evaluates your Azure resources and makes recommendations to help improve reliability, security, and performance, achieve operational excellence, and reduce costs. Azure Advisor is designed to help you save time on cloud optimization. The recommendation service includes suggested actions you can take right away, postpone, or dismiss.

The recommendations are available via the Azure portal and the API, and you can set up notifications to alert you to new recommendations.

When you’re in the Azure portal, the Advisor dashboard displays personalized recommendations for all your subscriptions. You can use filters to select recommendations for specific subscriptions, resource groups, or services. The recommendations are divided into five categories:

• Reliability is used to ensure and improve the continuity of your business-critical applications.
• Security is used to detect threats and vulnerabilities that might lead to security breaches.
• Performance is used to improve the speed of your applications.
• Operational Excellence is used to help you achieve process and workflow efficiency, resource manageability, and deployment best practices.
• Cost is used to optimize and reduce your overall Azure spending.

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Microsoft Azure offers speech recognition and synthesis capabilities through Azure AI Speech service, which supports many capabilities, including:

• Speech to text
• Text to speech
• Speech translation

Speech to text

You can use Azure AI Speech to text API to perform real-time or batch transcription of audio into a text format. The audio source for transcription can be a real-time audio stream from a microphone or an audio file.

Azure AI’s Speech to text API is based on Microsoft’s Universal Language Model. The data for the model is Microsoft-owned and deployed to Azure. The model is optimized for two scenarios, conversational and dictation. You can also create and train your own custom models including acoustics, language, and pronunciation if the prebuilt models from Microsoft don’t provide what you need.

Real-time transcription: Real-time speech to text allows you to transcribe audio streams to text. You can use real-time transcription for presentations, demos, or any other scenario where a person is speaking.

In order for real-time transcription to work, your application needs to be listening for incoming audio from a microphone, or other audio input source such as an audio file. Your application code streams the audio to the service, which returns the transcribed text.

Batch transcription: Not all speech to text scenarios are real time. You might have audio recordings stored on a file share, a remote server, or even on Azure storage. You can point to audio files with a shared access signature (SAS) URI and asynchronously receive transcription results.

Batch transcription should be run in an asynchronous manner because the batch jobs are scheduled on a best-effort basis. Normally a job starts executing within minutes of the request but there’s no estimate for when a job changes into the running state.

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Speech recognition takes the spoken word and converts it into data that can be processed – often by transcribing it into text. The spoken words can be in the form of a recorded voice in an audio file, or live audio from a microphone. Speech patterns are analyzed in the audio to determine recognizable patterns that are mapped to words. To accomplish this, the software typically uses multiple models, including:

• An acoustic model that converts the audio signal into phonemes (representations of specific sounds).
• A language model that maps phonemes to words, usually using a statistical algorithm that predicts the most probable sequence of words based on the phonemes.

The recognized words are typically converted to text, which you can use for various purposes, such as:

• Providing closed captions for recorded or live videos
• Creating a transcript of a phone call or meeting
• Automated note dictation
• Determining intended user input for further processing

Speech synthesis is concerned with vocalizing data, usually by converting text to speech. A speech synthesis solution typically requires the following information:

• The text to be spoken
• The voice to be used to vocalize the speech

To synthesize speech, the system typically tokenizes the text to break it down into individual words, and assigns phonetic sounds to each word. It then breaks the phonetic transcription into prosodic units (such as phrases, clauses, or sentences) to create phonemes that will be converted to audio format. These phonemes are then synthesized as audio and can be assigned a particular voice, speaking rate, pitch, and volume.

You can use the output of speech synthesis for many purposes, including:

• Generating spoken responses to user input
• Creating voice menus for phone systems
• Reading email or text messages aloud in hands-free scenarios
• Broadcasting announcements in public locations, such as railway stations or airports

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To create and use Azure services, you need an Azure subscription. When you’re working with your own applications and business needs, you need to create an Azure account, and a subscription will be created for you. After you’ve created an Azure account, you’re free to create additional subscriptions. For example, your company might use a single Azure account for your business and separate subscriptions for development, marketing, and sales departments. After you’ve created an Azure subscription, you can start creating Azure resources within each subscription.

If you’re new to Azure, you can sign up for a free account on the Azure website to start exploring at no cost to you. When you’re ready, you can choose to upgrade your free account. You can also create a new subscription that enables you to start paying for Azure services you need beyond the limits of a free account.

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Azure is a continually expanding set of cloud services that help you meet current and future business challenges. Azure gives you the freedom to build, manage, and deploy applications on a massive global network using your favorite tools and frameworks.

What does Azure offer?

Limitless innovation. Build intelligent apps and solutions with advanced technology, tools, and services to take your business to the next level. Seamlessly unify your technology to simplify platform management and to deliver innovations efficiently and securely on a trusted cloud.

• Bring ideas to life: Build on a trusted platform to advance your organization with industry-leading AI and cloud services.
• Seamlessly unify: Efficiently manage all your infrastructure, data, analytics, and AI solutions across an integrated platform.
• Innovate on trust: Rely on trusted technology from a partner who’s dedicated to security and responsibility.

What can I do with Azure?

Azure provides more than 100 services that enable you to do everything from running your existing applications on virtual machines to exploring new software paradigms, such as intelligent bots and mixed reality.

Many teams start exploring the cloud by moving their existing applications to virtual machines (VMs) that run in Azure. Migrating your existing apps to VMs is a good start, but the cloud is much more than a different place to run your VMs.

For example, Azure provides artificial intelligence (AI) and machine-learning (ML) services that can naturally communicate with your users through vision, hearing, and speech. It also provides storage solutions that dynamically grow to accommodate massive amounts of data. Azure services enable solutions that aren’t feasible without the power of the cloud.

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As your cloud usage grows, it’s increasingly important to stay organized. A good organization strategy helps you understand your cloud usage and can help you manage costs.

One way to organize related resources is to place them in their own subscriptions. You can also use resource groups to manage related resources. Resource tags are another way to organize resources. Tags provide extra information, or metadata, about your resources. This metadata is useful for:

• Resource management Tags enable you to locate and act on resources that are associated with specific workloads, environments, business units, and owners.
• Cost management and optimization Tags enable you to group resources so that you can report on costs, allocate internal cost centers, track budgets, and forecast estimated cost.
• Operations management Tags enable you to group resources according to how critical their availability is to your business. This grouping helps you formulate service-level agreements (SLAs). An SLA is an uptime or performance guarantee between you and your users.
• Security Tags enable you to classify data by its security level, such as public or confidential.
• Governance and regulatory compliance Tags enable you to identify resources that align with governance or regulatory compliance requirements, such as ISO 27001. Tags can also be part of your standards enforcement efforts. For example, you might require that all resources be tagged with an owner or department name.
• Workload optimization and automation Tags can help you visualize all of the resources that participate in complex deployments. For example, you might tag a resource with its associated workload or application name and use software such as Azure DevOps to perform automated tasks on those resources.

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Microsoft Azure is a global cloud provider, meaning you can provision resources anywhere in the world. You can provision resources rapidly to meet a sudden demand, or to test out a new feature, or on accident. If you accidentally provision new resources, you may not be aware of them until it’s time for your invoice. Cost Management is a service that helps avoid those situations.

What is Cost Management?

Cost Management provides the ability to quickly check Azure resource costs, create alerts based on resource spend, and create budgets that can be used to automate management of resources.

Cost analysis is a subset of Cost Management that provides a quick visual for your Azure costs. Using cost analysis, you can quickly view the total cost in a variety of different ways, including by billing cycle, region, resource, and so on.

You use cost analysis to explore and analyze your organizational costs. You can view aggregated costs by organization to understand where costs are accrued and to identify spending trends. And you can see accumulated costs over time to estimate monthly, quarterly, or even yearly cost trends against a budget.

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The pricing calculator is a calculator that helps you understand potential Azure expenses. The pricing calculator is accessible from the internet and allows you to build out a configuration. The Total Cost of Ownership (TCO) calculator has been retired.

Pricing calculator

The pricing calculator is designed to give you an estimated cost for provisioning resources in Azure. You can get an estimate for individual resources, build out a solution, or use an example scenario to see an estimate of the Azure spend. The pricing calculator’s focus is on the cost of provisioned resources in Azure.

With the pricing calculator, you can estimate the cost of any provisioned resources, including compute, storage, and associated network costs. You can even account for different storage options like storage type, access tier, and redundancy.

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