Aravind Krishna stops by to chat with Scott Hanselman and take a look at common design patterns for building highly scalable solutions with Azure Cosmos DB.

The get into modeling data and how to choose an appropriate partition key. Then they look at a few patterns like event sourcing, time series data, and patterns for addressing bottlenecks/hot spots for reads, writes, and storage.

Kelly Anderson joins Scott Hanselman to discuss Azure Security Center, which offers built-in security management and threat protection for your cloud workloads.

Azure Security Center helps you find & fix vulnerabilities, aids in blocking malicious access and alerts you when your resources are under attack.

Scott Hanselman talks to Kirill Gavrylyuk  to find out what’s new in Azure Cosmos DB, such as the Cassandra API for applications that are written for Apache Cassandra, updates to the Azure Table storage API, the Apache Spark Connector, the Graph API, partitioned collections, 99.999% (five 9s) SLA, and more.

 

  

If my previous post about the graph data structure has you eager to get started, then check out this video with Kirill Gavrylyuk. He talks Azure Cosmos DB and Graphs with Scott, exploring why we need graphs, and what we can be done with graphs on Azure Cosmos DB.

Azure Cosmos DB offers native graph gremlin API support in addition MongoDB, SQL, and others. Graphs in Azure Cosmos DB also enjoy the same global distribution, low latency, limitless throughput, and 99.99% SLAs as other APIs.

For more information, check out: Introduction to Azure Cosmos DB: Graph API

In this video posted by Coding Tech, Scott Hanselman delivers one of the best and personal demos — how a combined solution using technologies such as IoT devices, cloud platforms, and Machine Learning can come together to solve even the most complex problems.

From small mobile computers to vast data centers available at your command, it truly is a great time to be a developer.

Matthew Henderson does a demo for Scott Hanselman to show how simple it can be to build serverless apps that leverage bindings for Microsoft Graph (e.g., reading data from a Microsoft Excel spreadsheet in a OneDrive folder) to avoid writing laborious initialization and authentication code, all using Azure Functions.

For more information, check out the following links: