Today’s post will talk about Microsoft’s Azure Monitor, for the cloud. Azure Monitor is a comprehensive monitoring solution for collecting, analyzing, and responding to monitoring data from your cloud and on-premises environments. Azure Monitor can collect data from a variety of sources, example of some of these sources are listed below:

- Application Monitoring 

- Guest OS Monitoring Data

- Azure Tenant Monitoring Data

- Azure Resource Monitoring Data

Azure Monitor on Microsoft Azure cloud services, monitoring services you create a dataflow model for use with multiple data sources. When it comes to monitoring, many tools and services work with Azure deployments. This will help cloud administrators gain end-to-end observability into their applications, infrastructure, and network, for the cloud and hybrid environments.  Link below to a tutorial on Microsoft’s Azure Monitor, with more information.

Click here, for link to a YouTube video.

 

 

 

Video tutorial, a walk you through using Microsoft Azure Bicep and GitHub Actions to automate cloud services.  Microsoft Azure Bicep is a domain-specific language that uses declarative syntax to deploy Azure cloud resources. Bicep provides concise syntax, reliable type safety, and support for code reuse. 


Bicep is an infrastructure-as-code solutions, with Microsoft Azure cloud services. GitHub action helps to automate, customize, and execute your software development workflows right in your repository with GitHub Actions.  Azure Bicep and GitHub Actions will help to automate your Azure virtual machine, making your cloud management more efficient, link below to video with more information.

Link below to a video on deploying and configuring virtual machine on Azure Stack HCI, using Bicep and GitHub Actions.


  Click here for the video.

 

 

Blog from Microsoft, talking bout connectivity from IaaS (Virtual Machine) and PaaS services (Azure Data Factory) to a Azure Data Lake Storage account with public network access disabled. The blog post, looks at the impacts of disabling public network access in the storage account and shows how to establish connections to an Azure Data Lake Storage account from both a IaaS (VM)and PaaS services (ADF), when public network access is disabled.

The reason for disabling public network access to Microsoft Azure storage accounts, it will help you enhance your data security and compliance. Also the blog go’s on to review common troubleshooting issues that may arise due to this configuration, link below to a blog by Deepti Jain, a member of Microsoft Tech Community, with more information.

  Click here for the Microsoft website with more information. 



 

Topic of tonight’s post will be about Microsoft Azure Storage, I would like to share some information on Azure Table Storage. Link below to Azure Table Storage tutorial, on using Python Azure Tables SDK with National Basketball Association (NBA) Stats, using a API. The example in the blog shows how to use the API to retrieve NBA teams stats and the Azure Tables Python SDK to work with Azure Table storage. The Azure Tables client library for Python provides a simple and intuitive API for working with Azure Table Storage, with methods for creating and managing table clients, table operations, and entities.

Link below to blog author by Charles Wang, with more information on using Azure Table Storage, with Python Azure Tables SDK.

Click here for the blog.