Chris Anderson joins Donovan Brown to discuss how to use Azure Cosmos DB and other great Azure services to build a highly-scalable, real-time, collaborative application. You'll see techniques for using the Azure Cosmos DB change feed in both Azure Functions and SignalR applications. We also briefly touch on how custom authentication works with Azure Functions.For more information:Configure multiple write regions in Azure Cosmos DBHave fun and draw awesome on the cosmic scale Azure #CosmosDB #PxDraw canvas today! (Build 2018 post)Azure Cosmos DB overviewPXDraw on GitHub (chrisanderson/pxdraw)Create a free account (Azure)
Yashesvi Sharma joins Scott Hanselman to discuss reserved virtual machine instances and how the reservation you buy can apply to other virtual machines (VMs) sizes in the same size series group. This ensures that you maximize your discounts and make reservation management easier. Also, you can now save even more by purchasing reservations for SQL Database, Azure Cosmos DB, and SUSE Linux usage on Azure.For more information:What are Azure Reservations?Virtual machine size flexibility with Reserved VM InstancesAzure Reserved VM Instances (RIs) overviewAzure SQL Database pricingAzure Cosmos DB pricingCreate a free account (Azure)
Attend this session to see the whole canvas Azure Cosmos DB covers in the security arena. We walk you through how Cosmos DB securely transports and saves the data. We share how you can use secure practice for access, authentication, key rotation, token broker approach, and auditing actions. Learn how to protect and isolate your endpoints using IP firewall and VNET integration. This session also delves into compliance and how we handle customer requests. You will leave this session confident that Azure Cosmos DB meets your security needs.
Bring your Mongo DB and Cassandra applications to Azure Cosmos DB and benefit from turnkey global distribution, and guaranteed low latency for cloud scale. Learn how easy it is to migrate your existing NoSQL applications to Azure Cosmos DB by using the MongoDB API and Cassandra API. In this session, find out about the tools used in the process, see the code that leverages Azure Cosmos DB, and learn about techniques for working around the differences between the two products.
In this technical overview of Azure Cosmos DB, learn how easy it is to get started building planet-scale applications with Azure Cosmos DB. We then take a closer look at important design aspects around global distribution, consistency, and server-side partitioning. Learn how to model your data to fit your app’s needs using tools and APIs you love.
In this session, learn how Azure Cosmos DB enables event driven architecture, and how to build planet-scale serverless apps using Azure Cosmos DB and Azure Functions. Users expect modem apps to offer event-driven, near real-time experiences. Now you can subscribe to changes in Azure Cosmos DB collections and trigger logic in real time while being globally-distributed, and without deploying or managing any servers.
Real-world data is naturally connected. In this session, we provide an overview of the Graph API in Azure Cosmos DB and explain how our enterprise customers use it today to provide new insights on their data. You can query the graphs with millisecond latency and evolve the graph structure and schema easily. We also cover customer cases that currently leverage graph databases in their day-to-day workloads.
Attend this session to learn details about some of the toughest and largest deployments utilizing Cosmos DB. This session will cover all the tips and tricks for performance optimization, bulk loading, server-side programmability, handling hot partition keys, debugging, and practical lessons for scenarios like time series modelling, migration from other platforms, etc.
Modern cloud services are customer-centric and must be designed reacting to customer requests at predictable low latency, extreme scale, and always available. Microsoft first-party services like e-commerce, storefronts, and customer/account related services are such modern services running at Microsoft scale, targeting both consumer and commercial customers. Choosing the right storage platform is critical for building such scalable and available services. In this talk, we describe the Cosmos DB based storage architecture for building such modern services. We discuss types of modern services, their storage requirements, and design patterns for achieving scale, consistency, geo-availability, and performance using Azure Cosmos DB.
Developing globally distributed applications that respond with local latencies while maintaining consistent views of data worldwide is a challenging problem. Customers use globally distributed databases, because they need to improve data access latency, achieve high data availability, ensure guaranteed disaster recovery, and to meet their business requirements. In this session, we provide an overview of Azure Cosmos DB multi-master capabilities – which enable improved high availability and write performance, backed with flexible conflict resolution support.