Azure Cosmos DB Change Feed: How to Balance Work Across Multiple Workers
Learn how Azure Cosmos DB Change Feed Processor distributes work across multiple .NET workers using leases, checkpointing, and scalable processing patterns.
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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Learn how Azure Cosmos DB Change Feed Processor distributes work across multiple .NET workers using leases, checkpointing, and scalable processing patterns.

Learn to run the Azure Cosmos DB Emulator locally, connect a C# app with the Cosmos DB .NET SDK, and write integration tests for database-backed AI features.

Learn how the Azure Cosmos DB extension for GitHub Spec Kit brings partitioning, access-pattern, and data-modeling guidance into AI-assisted spec-driven development.

Learn how to install and use Azure Cosmos DB Shell to navigate databases and containers, run NoSQL queries, and choose between the shell and Azure portal Data Explorer.

Learn how to use Azure Cosmos DB to build persistent AI agent memory, maintain cross-session context, store conversation data, and support scalable agent applications.

Explore Azure Cosmos DB AI tools and learn how to test agent-generated queries for accuracy, performance, security, and request unit costs.

Learn how to evaluate Azure Cosmos DB AI query assistance by measuring generated query accuracy, performance, request units, and cost efficiency.

Learn how to evaluate Azure Cosmos DB AI query assistance by measuring generated query accuracy, performance, request units, and cost efficiency.

Learn how to control AI agent costs when querying Azure Cosmos DB by monitoring request units, limiting expensive operations, and setting usage safeguards.

Learn how to secure Azure Cosmos DB access for AI coding agents using least-privilege permissions, controlled tools, and database access policies.

Unlock real-time data processing with Azure Cosmos DB Change Feed. Build scalable, event-driven apps, reduce polling, and enhance responsiveness.

Unlock efficient local development for Azure Cosmos DB on Linux with the emulator. Test queries, data models, and CI/CD workflows.

Master Azure Cosmos DB! Essential for modern developers. Learn global distribution, multi-model support, and elastic scalability. Boost your cloud career now!

Master retry logic in distributed systems! Learn to handle failures gracefully with exponential backoff, jitter, and idempotency. Build resilient microservices and APIs.

Uncover the common pitfalls in distributed systems! Learn about network partitioning, latency, clock skew, and more. Build resilient architectures!

Discover Apache Cassandra, the resilient and scalable NoSQL database designed for handling massive data volumes across distributed systems. Learn how its masterless architecture, fault tolerance, and high availability make it ideal for mission-critical applications in e-commerce, finance, and social media.

Explore Azure Cosmos DB for MongoDB vCore's new vector search! This feature empowers developers to build intelligent applications with similarity searches on high-dimensional data. Learn about vector stores, indexing, and practical use cases like recommendation systems and image retrieval. Includes a Python code sample to get you started and cost optimization tips.

Azure CosmosDB failures can impact application performance. Learn how to identify, debug, and resolve common issues like duplicate keys (11000) and shard key violations (16500) for optimal database performance and reliability.

Aggregate functions in Cosmos DB allow efficient data summarization and analysis across multiple documents. They perform calculations such as AVG, COUNT, SUM, MAX, and MIN to retrieve meaningful insights from large datasets.

Dive into Azure Cosmos DB with our comprehensive guide tailored for modern applications. Explore its scalable NoSQL capabilities, global distribution, multi-model support, and robust partitioning strategies.

In this article you will learn how to read data from Azure Cosmos DB using Power Automate.

Learn the Azure Cosmos DB fundamentals tested in AZ-204, including its APIs, scalability, partitioning, security, and integration options.

This article introduces readers to the new features Microsoft unveiled at Build 2017, particularly focusing on Azure Cosmos DB. It explains Cosmos DB as a globally distributed, multi-model database service designed to support various data storage and querying needs.

Azure Cosmos DB, Part Three, introduces Azure DocumentDB, a NoSQL database for scalable, globally distributed applications. Explore its multi-model support, including SQL, MongoDB, Cassandra, Gremlin, and Table APIs.


Set up an Azure resource group and a serverless Azure Cosmos DB account, create a database and container, add sample items, and explore data with Data Explorer.

In this article, we are going to explore the basics of Graph Databases.

In this article, we will learn about Azure CosmosDB and walk through a few queries using SQL API.

Learn how to use Azure Cosmos DB stored procedures, triggers, and user-defined functions from an ASP.NET Core MVC application.

Learn graph database concepts and how to create, model, and query graph data in Azure Cosmos DB by using the Gremlin API and Azure Portal.
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