Course: The Complete Walkthrough Of End To End Microsoft Azure Services

In this lecture, i will explain about key outcomes you will achieve by taking this course, scope of the course and how each section of the course is structured.

By the end of this lecture, you will understand basics of cloud computing, benefits of cloud computing, types of cloud computing, types of cloud services and different cloud offerings from Azure

By the end of this lecture, you will understand about inner workings of Azure, and how Azure infrastructure is structured and managed.

By the end of this lecture, you will understand how resources are structured & organised in Azure and also access management works in Azure at high level.

By the end of this lecture, you will learn about Azure services offered in different areas at a very high level.

By the end of this lab demo, you will become familiarized with Azure portal, how to create resources, how to view costs etc.

By the end of this lecture, you will gain understanding of key storage services offered in Azure.

By the end of this lecture, you will know what is storage account, storage account types, access tiers, performance tiers, and storage replication options.

By the end of this lab, you will be able to create Azure storage account using Azure portal and understand different settings associated with the same.

By the end of this lecture. you will know about blob storage concepts, its use cases, types of blobs, naming conventions, metadata of the blobs and snapshots.

By the end of this lecture, you will know how to create a container in storage account and upload a blob into the same using Azure portal and view different settings associated with blob and container.

By the end of this lecture, you will know about storage firewall rules, custom domain limitations, Content delivery network config and other key configuration areas of Azure storage account and blob.

By the end of this lecture, you will know how to configure custom domain for your storage account.

By the end of this lecture, you will get an understanding of five layers of Azure storage security.

By the end of this lecture, you will know how to configure five layers of data security of Azure storage using Azure portal.

By the end of this lecture, you will gain understanding of Azure file storage concepts, access methods and transfer methods. 

By the end of this lab, you will be able to create Azure fileshare using Azure portal, and mount the same on a virtual machine in Azure.

By the end of this lecture, You will know about Azure table storage, its concepts and when to use the same. Also, you will have basic understanding of Azure queue service.

By the end of this lecture, you will gain understanding of Azure disk storage, disk types, unmanaged and managed disks and taking backup of disks.

By the end of this lecture, you will gain understanding of Storage analytics, metrics and logging.

By the end of this lab, you will be able to monitor metrics and enable logging on a storage account.

By the end of this lecture, you will learn about storage explorer, storage emulator, Server & Cloud explorer and Azure storage client library.

By the end of this lab demo, you will be able to use storage explorer to manage storage resources.

In this lecture, I explained about different building blocks of Azure network services and how all fit together to deliver a networking solution

In this lecture, I explained what is Azure virtual network and also explain about the key capabilities of the same

In this lab I have shown how to create a virtual network using azure portal, take you through some of the key configuration setting and finally create subnets within the VNet

In this lecture, i explained about Network Security Group (NSG), about Inbound rules, Outbound rules, rule prioritization and default rules

In this lab, I have shown how to create a NSG and create inbound/outbound rules and finally apply the same at subnet level

In this lab, i have shown how to create two web servers and deploy them into Webservers subnet. install IIS on each of this server and text whether network security group rules we have defined in the earlier is working properly or not

In this lecture, I will introduce you to the concepts of network interfaces, route tables and VNet peering

In this lab, I have shown how to create a user defined route to route the traffic destined to a subnet via LAN routing appliance

In this lab, I have shown how to peer two virtual networks in the same region using Azure portal

In this lecture, I explained about public and private IP addresses and what azure resources can have the same. I will also explain about static and dynamic IP configuration

In this lecture, I have shown how to disable public IP address, where you can change IP address mode (dynamic & static) and configure a domain name for your public IP address

In this lecture, I have explained about different scenarios of VNets & Subnets design patterns and Subnets and NSGs design patterns

In this lecture, I provided a brief introduction to Load balancer, Application gateway and Traffic manager

In this lecture, I explained about different components and features of the load balancer, types of health probes and Azure availability sets.

In this lab, I will show you how to create an availability set and deploy two web servers in the same. I will install IIS on the web servers and disassociate the public IP addresses. Basically I am preparing the ground work for the next lab.

In this lab, I have shown how to create and configure the load balancer to distribute the traffic evenly to two web servers we have created in the earlier lab.

In this lecture, I explained about different network connectivity scenarios, VPN gateways cross premise connectivity scenarios.

By the end of this lecture, you will gain good understanding of Azure compute building blocks classification such as Virtual machines, storage, extensions, monitoring, Azure backup and recovery etc.

By the end of this lecture, you will know the ways of deploying virtual machines, configuration choices you make and also different types and sizes of VMs.

By the end of this lab, you will be able to create Azure virtual machine using Azure portal and understand how to carry out key activities.

By the end of this lab, you will be able to create Azure virtual machine using Azure PowerShell cmdlets.

By the end of this lecture, you will know type of disks, performance tiers, storage encryption available in Azure 

By the end of this lecture, you will be able to choose managed disks when creating virtual machines, convert disk storage from standard to premium and also take a snapshot of the virtual machine.

By the end of this lecture, you will gain understanding of Availability sets, Availability zones and storage availability options.

By the end of this lecture, you will be able to create availability set using Azure portal and also deploy virtual machines into availability set and view in which fault and update domain those virtual machines has been deployed into.

In this lecture, I have explained about virtual machine scale sets and auto scaling.

By the end of this lecture, You will be able to create virtual machine scale sets and configure metric based and schedule based auto scaling.

By the end of this lab, you will be able to test auto scaling configuration of Virtual machine scale sets.

By the end of this lab, You how how Azure backup works and the key components of Azure Backup.

By the end of this lecture, you will be able to take the backup of virtual machine and also restore the VM by selecting restoration point.

By the end of this lecture, you will know the key security services that you can use to secure your virtual machines.

By the end of this lecture, You will be able to provide access to VM to a user and also create managed service identity for the VM and provide access to that identity to different Azure resources.

By the end of this lecture, you will know how to monitor virtual machines using activity logs, metrics, diagnostics, alerts and know different options you have for advanced monitoring.

By the end of this lecture, you will be able to use different azure features such as activity logs, metrics, alerts, diagnostics etc to monitor azure virtual machines

By the end of this lecture, you will know Azure cloud service, Cloud service roles and different config settings associated with cloud service.

By the end of this lecture, you will be able to create cloud service using Azure portal and publish web application into cloud service using visual studio

By the end of this lecture, you will gain knowledge about micro services application, service fabric infrastructure/application/system services components.

By the end of this lecture, you will be able to create a secure service fabric cluster using Azure portal.

By the end of this lecture, you will be able to create a service fabric application using Visual studio and publish the same into Service fabric cluster.

By the end of this lecture, you will know key building blocks of Azure app services and how they aid in delivering an end to end solution.

By the end of this lecture, you will understand what is app service plan, different pricing tiers and web apps.

By the end of this lecture, You will be able to create an app service plan using Azure portal and understand key configuration features of the same.

By the end of this lecture, you will be able to create a web app using Azure portal and understand the key settings that you can configure using Azure portal.

By the end of this lecture, you will know how to publish asp.net application into Azure web app using Visual Studio.

By the end of this lecture, you will understand about Azure mobile apps, mobile backend end service development, client side SDK and offline data sync.

By the end of this lecture, you will be able to create a mobile backend service using Azure portal, configure a database connection, create a table using easy tables and finally download the sample code and test the same.

By the end of this lecture, you will gain understanding of Azure notification hub and Azure mobile engagement.

By the end of this lecture, you will know about API apps and API management and different capabilities of the same.

By the end of this lecture, you will be able to create an API app using Azure portal, create an API using visual studio and publish into Azure api app and enable swagger UI for the same. You will also able to view swagger metadata.

By the end of this lecture, you will be able to create API management using azure portal, understand different features associated with API management.

By the end of this lecture, you will understand Azure backup and different ways you can autoscale your app service.

By the end of this lecture, you will be able to scale up your app service and scale out app service based on a schedule.

By the end of this lecture, you will understand different security features of Azure app service.

By the end of this lecture, you will know different ways to monitor your Azure app services.

By the end of this lecture, you will be able to use different features available in Azure portal to monitor Azure app services.

By the end of this lecture, you will understand about content delivery network, CDN profiles & CDN endpoints and CDN caching rules.

By the end of this lecture, you will understand about media services, different concepts of the same, different scenarios of video delivery using media services. You will gain a very high level knowledge on Azure search also.

By the end of this lecture, you will gain understanding of key building blocks of Azure database services

By the end of this lecture, you will understand about different deployment models, purchasing models, service tiers with respect to Azure SQL database. Also, you will gain understanding of SQL logical server and elastic pools.

By the end of this lecture, you will be able to create SQL logical server and SQL database in Azure using Azure portal and gain understanding of key configuration areas of the same.

By the end of this lecture, you will gain understanding of Firewall & virtual network rules, Active-Geo replication, Failover groups and database backup.

By the end of this lecture, you will able to configure firewall and network rules, set azure active directory admin, use query editor and configure Active-Geo replication.

By the end of this lecture, you will gain understanding of Azure SQL managed instance, its structure and communication patterns.

By the end of this lecture, you will gain understanding of management plane security, data plane security, encryption in transit, encryption at transit and auditing.

By the end of this lab demo, you will configure management plane security, transparent data encryption and auditing for SQL server and SQL database.

By the end of this lecture, you will gain understanding of different tools that are available in Azure to monitor Azure SQL databases, elastic pools and managed instances.

By the end of this lab, you will be able to view metrics, enable diagnostic logging and use query performance insight to identify top resource consuming and long running queries.

By the end of this lecture, you will gain understanding of Azure cosmos database, its structure, global distribution and partitioning, and requests.

By the end of this lab demo, you will be able to create Cosmos DB account, create a database, create a collection and add an item using Azure portal.

By the end of this lecture, you will gain understanding of Azure data factory and its key concepts such as pipeline, activity, datasets, linked services etc.

By the end of this lecture, you will be able to create data factory using Azure portal and create a pipeline to copy data from one place to another place.

By the end of this lecture, you will gain understanding of SQL data warehouse and SQL stretch database.

By the end of this lecture, you will gain understanding of key building blocks of big data solution offered by Azure.

By the end of this lecture, you will gain understanding of Azure Data Lake store Gen 2, ABFS driver and role of data lake store in delivering big data solution.

By the end of this lab, you will be able to create data lake store gen 2 using Azure portal and upload the data into the same using Storage explorer.

By the end of this lecture, you will be able to created linked services and data stores in data factory for Azure SQL database and data lake store gen 2. Also, you will be able to configure and run a copy data activity to copy data from SQL database into Data lake store gen 2.

By the end of this lecture, You will know about Apache hadoop, Azure HDInsight, scenarios where both can be used and different cluster types available in Azure HDInsight.

By the end of this lab you will be able to use Azure HDInsight hive query to process data in blob storage. You will also able to create HDInsight cluster on demand using Azure data factory.

By the end of this lecture, you will gain understanding of Azure DataBricks and its key concepts.

By the end of this lab, you will be able to create data bricks using Azure and create spark cluster on the same. Also you will be able to complete all prerequisites required to process data into Data Lake store using data bricks.

By the end of this lab, you will be able to write a notebook in SPARK scala language to process data in data lake store. Also, you will be able to trigger notebook from data factory.

By the end of this lab, you will be able to copy the data from data lake store to sql data warehouse using data factory.

By the end of this lecture, you will gain understanding of Power BI, five steps in solution development based on Power BI, different tools available in Power BI etc.

By the end of this lab demo, you will be develop a report in Power BI to visualise the data that is present in SQL data warehouse.

By the end of this lecture, you will gain understanding of Azure Data Explorer, key steps involved in using the same and key steps in ingesting data into data explorer and carrying out time series analysis.

By the end of this lab, you will be able to create data explorer cluster, create a database in it, create table, ingest data into that table and query the data using simple queries.

By the end of this lecture, you will gain understanding of Azure Data Catalog and key steps of using Data Catalog.

By the end of this lab demo, you will be able to create a Data Catalog, register data assets into the same, discover assets and look into the data if required.

By the end of this lecture, you will gain understanding of all Azure key services that you can use in building enterprise application integration on Azure.

By the end of this lecture, you will gain an understanding of logic apps fundamentals, capabilities and benefits of logic apps, key components of logic apps and steps to develop workflows in logic apps.

By the end of this lab, you will able to create a sample logic app to monitor outlook account and delete an email from coming from a particular account. You will also gain understanding of different configuration settings associated with logic apps.

By the end of this lab, you will be able to create a logic with http trigger and trigger the same by posting Json message. You will also able to extend the logic app to add an SQL action to insert a row into SQL database and monitor the run.

By the end of this lecture, you will gain understanding of key features associated with Azure functions, triggers and integration features of Azure functions, hosting plans and triggers & bindings of Azure functions.

By the end of this lab demo, you are able to create an Azure function App using Azure portal and configure some important settings associated with the same. You will also able create a function with http trigger and trigger the same by posting a Json message.

By the end of this lab, you will be able to clone an existing logic app and add an action to trigger Azure functions, modify the Azure function to get a data attribute in string and return status code in int back to the logic app.

By the end of this lecture, you will gain understanding of Service bus namespace, service bus queues, service bus topics and some advanced features that you can use in Service bus.

By the end of this lab, you will be create service bus namespace, configure shared access policy at namespace level, create a queue in the namespace and create a topic and two subscriptions for the topic.

By the end of this lab, you will be able to post a message into service bus queue from logic app and also trigger Azure function whenever a message is posted into service bus.

By the end of this lab, you will gain understanding of on-premise data gateway, how it works and Integration service environment.

By the end of this lab, you will be able to install on-premise data gateway, and create a data gateway service in cloud. 

By the end of this lab, You will be able to create a logic app with file system trigger, use on-premise data gateway connection to access file, read and parse contents of the file and trigger Azure function.

By the end of this lecture, you will gain understanding of Enterprise integration pack and different artefacts you can have in Integration account.

By the end of this lab, you will be able to create an integration account, understand key artefacts of the same. Also you are able to validate incoming XML using Schema stored in Integration account.

By the end of this lecture, you will gain understanding of Event Grid, its key concepts, security and event grid domains.

By the end of this lecture, you will gain understanding of different layers of a typical IoT solution and different Azure services that can you can use to deliver IoT Solution.

By the end of this lecture, you will gain understanding of even hub, key components of event hub, Event hubs for Apache Kafka, Event hub capture and throughput units.

By the end of this lab, you will be able to create event hub namespace, configure some important settings, create an event hub under the namespace and also create two consumer groups in this event hub.

By the end of this lecture, you will gain understanding of Azure IoT and its components, Identity registry, Device & Module twins and Automatic device configuration. 

By the end of this lab, you will able to create an IoT hub, register a device within IoT Hub, view device twin information and finally apply device configuration to all devices registered with IoT hub.

By the end of this lab, you will be able to develop a program to simulate a device to send messages to IoT Hub. Also you will be able to develop a program to retrieve messages from IoT hub. 

By the end of this lecture, you will gain understanding of device to cloud communication, cloud to device communication, IoT Hub end points and message routing.

By the end of this lab, you will be able to configure message routing in such a way messaged posted into IoT hub will be routed to Azure blob storage if there is no temperature alert and those messages with temperature alert will be routed to Event Hub.

By the end of this lecture, you will gain understanding of Stream Analytics, its key components and stream analytics on Edge.

By the end of this lab, you will be able to develop stream analytics job, configure event hub as an input and power BI as Output, write stream analytics query to fetch data from event and post into Power BI and visualise the data using power BI report. 

By the end of this lab, you will be able to develop stream analytics job to trigger an Azure function with payload of messages count with temperature greater than 31 degrees.

By the end of this lecture, you will gain understanding of IoT Edge, different components of the same and IoT device provisioning service.

By the end of this lab, you will gain understanding of IoT Central application, its key components and IoT Solution accelerators.

By the end of this lecture, you will gain understanding of Azure time series insights and its capabilities.

By the end of this lab, you will be able to create Azure time series insights environment, configure event hub as event source and explore the event data using time series insights explorer.

In this lecture, I will take you through five key stages of monitoring and Azure services mapped to each stage.

In this lecture, I will take you through three types of data collected in Azure namely Metrics, Activities and Diagnostics data

In this lab, I will show how you can view metrics, activity logs and diagnostics settings etc. Also, I will show you how you can export the monitoring data to different destinations using Azure portal

In this lecture, I will provide a brief overview of the Azure monitor

In this lecture, I will give you a walkthrough of Azure monitor using Azure portal.I will show how to configure an activity log alert, define action group and test the alert. I will show how to define schedule based auto scaling for web app service and test the same.

In this lecture, i will take you through system centre, Operations management suite and its key services

In this lecture, i will take you through the details of log analytics in terms of data sources, types of data, storage, analytics and visualisation.

In this lecture, i will show you how to create log analytics using azure portal, take you through different functionality of log analytics in Azure portal. I will also take you through OMS portal and its features

In this lecture, i will show you how to install activity log analytics management solution in Log analytics and give you a walkthrough of the same

In this lecture, i will show you how to connect virtual machine with Log Analytics solution and define data sources using OMS portal

In this lecture, i will show you how to do log searches,design dashboards & views and define computer groups using Log analytics

In this lecture, i will explain in detail about Application insights in terms of data sources, type of data collected, storage, analytics and visualization of data.

In this lab, I will be creating a API app and show you how to enable application insights on API app. I will also take you through different features of Application insights such as monitoring live metrics, setting up availability tests, application map etc.

In this Lab, I will create Azure Automation account and will take you through important features of Azure automation. I will import a runbook from runbook gallery and test the runbook to stop azure virtual machine.

In this lecture, I will show you how to register application in Azure active directory, create a secret key and assign contributor role to the application.

In this lecture, I will show you how to write a small piece of program to acquire access token using REST APIs.

In this lab, i am going to extend the program which i have written in previous lab to securely invoke REST API to get subscription metadata

In this lab, I am going to explain key difference between calling Azure RM REST API and Azure storage services REST API. I will also take you through the code that I have written to list the tables in a storage account using REST API