Introduction and Background

Welcome to Cloud Simplified

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Hello and Welcome Internet!

So why another site devoted to cloud computing in Azure?  There are many dedicated sites, YouTube channels and blogs devoted to specific capabilities in Azure such as using Premium Storage with your VMs to allow them to have higher throughput and using vnet peering to connect two virtual networks in Azure but we decided to take a different approach — focusing on _how_ to use these features to practically solve business problems!  If you’re interested in product/feature specific content be sure to check out some the  Microsoft Mechanics  and the Microsoft Azure YouTube channels!

In our role at Microsoft as Cloud Solution Architects (CSA) serving customers all across the US, we have a unique perspective on what customers need to accomplish in the cloud and we work to help them complete their journey successfully meeting their performance, budgetary and reliability requirements.  We decided to take that tribal knowledge and provide meaningful content to the community on how we addressed specific requirements to bring workloads to the cloud after all, Knowledge is Power!

 

Our focus is to distill down complex topics into bite sized chunks to make it easy for you to quickly leverage these features to address similar requirements you may have for moving something into Azure.

Episode Guide

  1. Storage In the Enterprise –  Part 1/Part 2ShowNotes:  We walk through the basics of storage followed by how the cloud solution architect team helped a customer overcome some challenges for moving data around to different engineering sites around the globe
  2. Artificial Intelligence and Machine Learning: Part 1:  With special guest and data scientist Laura Edell, we walk through machine learning and simplify the theory and math behind it that allows computers to use existing data to forecast future behaviors, outcomes, and trends.   Throughout the segment, we highlight capabilities in Azure to facilitate some of these functions and will walk through a real-world scenario in the next edition!
  3. Isolating Environments in Azure Link: In this episode we bring in Brian Harrison to discuss some considerations and features of Azure available to secure and protect workloads.  Join us to hear how we’ve helped customers address some of these concerns and learn about how Azure can help!
  4. Averting a Disaster with AzureLink:  In this episode we talk with Richard Timmering to walk through how he was able to use Azure during a crises situation for his customer where their primary datacenter supporting government services such as 911 dispatch was impacted by a wildfire.  We also highlight how Azure could be used as a failover site for the customer’s environment in the future!
  5. Building an Elastic DataWarehouseLink:  In this episode we talk with data-scientist Pankaj Satyaketu to simplify the plethora of options available for consuming and reporting on data and how Azure’s elasticity can provide scalable compute power to make sense out of the largest datasets.  (Link to GitHub Repo with Scripts)
  6. Deploying Applications to KubernetesLink:  We talk with Shivashanker Bitla on how he helped his customers take advantage of higher density computing by leveraging Kubernetes containers on Azure AKS
  7. Application Modernization with Service Fabric : Link: Here we talk with Colin Cole about Service Fabric, how it can be used in Azure, how it compares with other container based deployment technologies and most importantly how he’s helped customers improve their efficiencies using it!
  8. Protecting Web Applications in the Cloud: Link:  This time we connect with Adam Turner to review how he’s helped customers protect web applications running in Azure with security solutions available in Azure to that actively protect and monitor these workloads!
  9. Azure SQL and Elastic Pools at Scale: Link – This time we are joined by a peer of ours, Michael McKechney, providing us an insight into how his customer migrated to SQL Azure to find themselves with 100’s of instances to manage for their SaaS application and what he did to help them simplify this architecture using SQL Elastic pools to save them money and introduce efficiencies to their infrastructure!
  10. Artificial Intelligence and Machine Learning: Part 2We invite back Data Scientist Laura Edell to have fun and walk through her Machine Learning model to beat odds in Fantasy Football!  This is an excellent way to see first hand how Azure Machine Learning can go to work for your business to statistically identify patterns in data!

 

 

Other Shows Highlighting Azure

To provide some additional content, I’m pointing to a number of shows I’ve done previously on Channel 9 to highlight specific ways to do things in Azure!

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