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Distinguish Microsoft Azure Core Services (AZ-900) - Coggle Diagram

- - - - Each Azure region is paired with another region within the same geography
    - - Azure prefers at least 300 miles of separation between datacenters in a regional pair
    - - Some services such as Geo-Redundant Storage provide automatic replication to the paired region.
    - - In the event of a broad outage, recovery of one region is prioritized out of every pair.
    - - Planned Azure system updates are rolled out to paired regions sequentially (not at the same time)
- - - - If you delete a resource group, all resources contained within are also deleted. Organizing resources by life cycle can be useful in non-production environments,
  - - - If your database administration team is responsible for managing all of your Azure SQL Database instances, putting them in the same resource group would simplify administration
    - - If you're trying to understand how your costs are distributed in your Azure environment, grouping them by resource group is one way to filter and sort the data to better understand where costs are allocated.
- - - - are software emulations of physical computers. They include a virtual processor, memory, storage, and networking resources. VMs host an operating system, and you're able to install and run software just like a physical computer.
      - Virtual machine scale sets
        
        Azure compute resource that you can use to deploy and manage a set of identical VMs.
      - IaaS
    - - you can quickly build, deploy, and scale enterprise-grade web, mobile, and API apps running on any platform.
      - PaaS
    - - Azure Functions are ideal when you're concerned only about the code running your service and not the underlying platform or infrastructure.
    - - Containers reference the operating system of the host environment that runs the container.
        
        Unlike virtual machines you do not manage the operating system.
        
        Containers are lightweight and are designed to be created, scaled out, and stopped dynamically.
        
        Containers allows you to respond to changes on demand and quickly restart in case of a crash or hardware interruption.
        
        Azure supports Docker containers.
      - Mientras que Vm virtualiza el hardware los contenedores virtualizan el sistema operativo
      - Azure Container Instances
        
        simplest way to run a container in Azure without having to manage any virtual machines or adopt any additional services. It is a PaaS offering that allows you to upload your containers, which it will run for you.
      - Azure Kubernetes Service
        AKS
        
        is a complete orchestration service for containers with distributed architectures and large volumes of containers.
      - Microservice architecture
        
        This architecture is where you break solutions into smaller, independent pieces. For example, you may split a website into a container hosting your front end, another hosting your back end, and a third for storage. This split allows you to separate portions of your app into logical sections that can be maintained, scaled, or updated independently.
  - - - enables many types of Azure resources such as Azure VMs to securely communicate with each other, the internet, and on-premises networks
    - - A VPN gateway is a specific type of virtual network gateway that is used to send encrypted traffic between an Azure Virtual Network and an on-premises location over the public internet. It provides a more secure connection from on-premises to Azure over the internet.
    - - Azure Application Gateway is a web traffic load balancer that enables you to manage traffic to your web applications. It is the connection through which users connect to your application. With Application Gateway you can route traffic based on source IP address and port to a destination IP address and port.
    - - A Content Delivery Network (CDN) is a distributed network of servers that can efficiently deliver web content to users. It is a way to get content to users in their local region to minimize latency. CDN can be hosted in Azure or any other location. You can cache content at strategically placed physical nodes across the world and provide better performance to end users.
  - - - Structured data is data that adheres to a schema, so all the data has the same fields or properties.
        
        Structured data can be stored in a database table with rows and columns.
        
        Structured data relies on keys to indicate how one row in a table relates to data in another row of another table.
        
        Structured data is also known as relational data. The data's schema defines the table of data, the fields in the table, and the clear relationship between the two.
        
        Structured data is easy to enter, query, and analyze because all the data follows the same format.
        
        Examples of structured data include sensor data or financial data.
    - - Semi-structured data is less organized than structured data.
        
        Semi-structured data is not stored in a relational format, meaning the fields do not neatly fit into tables, rows, and columns.
        
        Semi-structured data contains tags that make the organization and hierarchy of the data apparent.
        
        Semi-structured data is also known as non-relational or NoSQL data.
        
        Examples of semi-structured data include books, blogs, and HTML documents.
    - - Unstructured data has no designated structure.
        
        Unstructured data can hold any kind of data.
        
        Unstructured data is becoming more prominent as businesses try to tap into new data sources.
        
        Examples of unstructured data include a PDF document, a JPG image, a JSON file, and video content.
  - - - Disk storage provides disks for virtual machines, applications, and other services to access and use as they need, similar to how they would in on-premises scenarios. Disk storage allows data to be persistently stored and accessed from an attached virtual hard disk.
    - - Azure Blob storage is Microsoft's object storage solution for the cloud. Blob storage is optimized for storing massive amounts of unstructured data, such as text or binary data.
        
        Serving images or documents directly to a browser.
        
        Storing files for distributed access.
        
        Streaming video and audio.
        
        Storing data for backup and restore, disaster recovery, and archiving.
        
        Storing data for analysis by an on-premises or Azure-hosted service.
    - - Azure Files enables you to set up highly available network file shares that can be accessed by using the standard Server Message Block (SMB) protocol. That means that multiple VMs can share the same files with both read and write access. You can also read the files using the REST interface or the storage client libraries.
        
        Many on-premises applications use file shares. This feature makes it easier to migrate those applications that share data to Azure. If you mount the file share to the same drive letter that the on-premises application uses, the part of your application that accesses the file share should work with minimal, if any, changes.
        
        Configuration files can be stored on a file share and accessed from multiple VMs. Tools and utilities used by multiple developers in a group can be stored on a file share, ensuring that everybody can find them, and that they use the same version.
        
        Diagnostic logs, metrics, and crash dumps are just three examples of data that can be written to a file share and processed or analyzed later.
    - - The Azure Queue service is used to store and retrieve messages. Queue messages can be up to 64 KB in size, and a queue can contain millions of messages. Queues are generally used to store lists of messages to be processed asynchronously.
    - - Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud. Azure tables are ideal for storing structured, non-relational data. Common uses of Table storage include:
        
        Storing TBs of structured data capable of serving web scale applications.
        
        Storing datasets that don't require complex joins, foreign keys, or stored procedures and can be denormalized for fast access.
        
        Quickly querying data using a clustered index.
  - - - Azure Cosmos DB
        
        Microsoft Azure Cosmos DB is a globally distributed database service that enables you to elastically and independently scale throughput and storage across any number of Azure's geographic region
      - Azure SQL Database
        
        Azure SQL Database is a relational database as a service (DaaS) based on the latest stable version of Microsoft SQL Server database engine.
      - Azure Database Migration
        
        The service uses the Microsoft Data Migration Assistant to generate assessment reports that provide recommendations to help guide you through required changes prior to performing a migration
- - - - Azure Synapse Analytics (formerly Azure SQL Data Warehouse) is a limitless analytics service that brings together enterprise data warehousing and big data analytics.
    - - HDInsight allows you to run popular open-source frameworks and create cluster types such as Apache Spark ,Apache Hadoop ,Apache Kafka , Apache HBase ,Apache Storm ,Machine Learning Services . HDInsight also supports a broad range of scenarios such as extraction, transformation, and loading (ETL); data warehousing; machine learning; and IoT.
    - - Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data. Instead of deploying, configuring, and tuning hardware, you write queries to transform your data and extract valuable insights. The analytics service can handle jobs of any scale instantly by setting the dial for how much power you need. You only pay for your job when it is running, making it more cost-effective.
    - - Azure Cognitive Services
        
        Vision
        
        Speech
        
        Language
        
        knowledge
        
        search
      - Azure Machine Learning Service
        
        The Azure Machine Learning service provides a cloud-based environment you can use to develop, train, test, deploy, manage, and track machine learning models.
  - - - You configure your serverless apps to respond to events. An event could be a REST endpoint, a periodic timer, or even a message received from another Azure service. The serverless app runs only when it's triggered by an event.
  - - - DevOps Services provides development collaboration tools including high-performance pipelines, free private Git repositories, configurable Kanban boards, and extensive automated and cloud-based load testing. DevOps Services was formerly known as Visual Studio Team Services (VSTS).
    - - Lab Services is a service that helps developers and testers quickly create environments in Azure, while minimizing waste and controlling cost.
- - - - Check the status and important metrics of your services
      - Stay informed with notifications and alerts about important health issues
      - Quickly diagnose and fix issues anytime, anywhere
      - Review the latest Azure alerts
      - Start, stop, and restart virtual machines or web apps
      - Connect to your virtual machines
      - Manage permissions with role-based access control (RBAC)
      - Use the Azure Cloud Shell to run saved scripts or perform unplanned administrative tasks
  - - - High availability
      - Security
      - Performance
      - Operational excellence