Azure Cosmos DB API Updates and Migration

6 posts · Feb 2021 – Feb 2022

What this trail covers

This thread tracks the evolution of Azure Cosmos DB, focusing on its various APIs and migration strategies. It highlights the API for MongoDB and Cassandra API, discussing their benefits and providing demos. The post also covers common use cases, autoscaling, and how to upgrade database accounts for new features. Migration strategies for existing workloads to Azure Cosmos DB are also discussed, including live migration demos for Cassandra. This post details using Azure Database Migration Service for migrating on-premises databases to Azure SQL.

All Microsoft trails

Feb 2022AzureFunBytes Episode 67 - What's New With @AzureCosmosDB?This post introduces updates and new features for Azure Cosmos DB, with a specific focus on the API for MongoDB and the Cassandra API. It includes discussions on common use cases, autoscaling behavior, and the process of upgrading database accounts. Demonstrations of the API for MongoDB and a live migration of Cassandra workloads are provided. The post also touches upon configuring Spark and reviewing migrated data.
Aug 2021AzureFunBytes Presents: Migrating Your Data – Migrate your MongoDB data to Cosmos DBThis post details the practical steps and considerations for migrating MongoDB data from an on-premises VM to Azure Cosmos DB for MongoDB API using Azure Database Migration Service (DMS). It covers configuring the source MongoDB instance (`bind_ip = 0.0.0.0`), setting up Network Security Groups to allow AzureCloud service tags, creating and configuring the Azure Database Migration Service (including selecting service mode and pricing tier), and executing the migration project. The post differentiates between offline and online migrations and provides a step-by-step walkthrough of selecting source and target details, database settings, collection settings, and initiating the migration. It also includes verification steps in Cosmos DB Explorer and cleanup recommendations.
Jun 2021AzureFunBytes Presents: Migrating Your Data - Create Your Cosmos DBThis post details how to create an Azure Cosmos DB deployment for MongoDB API using an ARM template. It explains the benefits of Cosmos DB, including its multi-API support, low latency, global availability, auto-scaling, and integration with other Azure services. The post provides a snippet of an ARM template for creating MongoDB collections with shard keys and indexes, and guides users on how to deploy the template using the 'Deploy to Azure' button in the Azure quickstart repository. It also explains the concept of a 'collection' in Cosmos DB and lists the required parameters for deployment.
May 2021On-Prem To The Cloud (episode 7): Migrating to Azure SQLThis post details the migration of an on-premises database to Azure SQL, a Platform as a Service (PaaS) offering. It highlights the benefits of Azure SQL, such as automated management of backups, scaling, monitoring, and tuning, and the use of its firewall service for network security. The post introduces Azure Database Migration Service for simplifying, guiding, and automating database migrations at scale, and Data Migration Assistant (DMA) for detecting compatibility issues and recommending improvements for the target environment.
Apr 2021AzureFunBytes - Intro to Cosmos DB with Mark BrownThis post introduces Azure Cosmos DB as a managed, multi-model NoSQL database for applications and data science, emphasizing its global distribution, multi-region replication, and single-digit millisecond response times. It covers support for key-value, column family, document, and graph data through various APIs (SQL, MongoDB, Gremlin, Cassandra, Table) and SDKs. The discussion includes concepts like request units, consistency models (PACELC theorem), RPO/RTO, and integration with Visual Studio Code and Azure Functions, including a demo of the change feed.
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Feb 2021On Prem To The Cloud: Getting Started (Ep 1)This post introduces Application Insights as a tool for understanding application dependencies during migration. It details codeless attach and SDK instrumentation methods for capturing data, and emphasizes the importance of gathering performance baselines and identifying inter-dependencies. The post also discusses the keys to successful cloud migrations: starting small and understanding what success looks like.