Managing Data 📈 in the Cloud ☁
Learn how to classify and host your data using cloud services.
Monday, May 13th, 2019 was the date we kicked off the inaugural .NET South conference. It was also the date I delivered a new talk, “Managing Data in the Cloud.”
The presentation features three case studies that illustrate different approaches to managing and accessing data. There is a flights database that traverses a graph of nodes and vertices to compute possible flight paths between two airports. The link shortening example highlights the entirely serverless application I run in production to create, use, and report on URLs. Finally, the Tailwind Traders application leverages microservices that include a Node.js app with a MongoDB backend and a .NET Core API on top of Azure SQL.
Thanks everyone who attended my @DotNetSouth session "Managing Data 📈 in the Cloud ☁." As promised, here is the 🐱 repository that includes links to the full presentation, source code, step-by-step demo instructions, documentation and learning modules. https://t.co/Bslp3O5XM4 pic.twitter.com/1tSSgiFLNx— Jeremy Likness ⚡️ (@jeremylikness) May 13, 2019
The presentation contains all the relevant links and walks through how to classify data, how each class of data translates to cloud services, and how apps are built to use the various options. The deck concludes with a look at a service designed to migrate your data from existing on-premises solutions to the cloud.
The repository dives even deeper. It contains links for the prerequisites to run the presentation. It includes step-by-step instructions for every demo. Finally, there are links to the hands-on learning modules and documentation for all the services covered.
If you are exploring moving your data to the cloud or building a new solution and curious about what options are available, you may find these resources helpful. Enjoy!
- After Your Talk 🗣: The Power 💪 of Leverage (Presentation)
- Blazor: .NET in Your Browser (Presentation)
- Deep Data Dive with Kusto for Azure Data Explorer and Log Analytics (Azure)
- Exploring Blazor (Presentation)
- MongoDB on Windows in Minutes with Docker (Mongodb)
- Serverless HTTP With Durable Functions (Azure)