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Co-authored with Praveen Raja P Azure Cosmos DB already includes a powerful event foundation: change feed provides a durable, ordered record of item changes within each logical partition. It is ideal for reacting to operational data as it changes, building projections, and driving workflows directly from the database. Confluent Cloud adds a ...

The wait is over. Spring AI 2.0 is generally available, and Azure Cosmos DB is right there with it. With this release, Spring AI graduates into a mature, production-ready framework for building AI applications in Java, and Azure Cosmos DB ships dedicated, vendor-maintained integrations that plug straight into the Spring AI ecosystem. The Spring AI...

We’re excited to announce the Azure Cosmos DB SRE Agent built on Azure SRE Agent; a new capability designed to simplify troubleshooting and improve reliability for your applications running on Azure Cosmos DB. Some key features of Azure Cosmos DB SRE Agent are:  Benefits of using Azure Cosmos DB SRE Agent Managing distributed a...

Welcome to the latest roundup of key updates across the Azure Cosmos DB Java ecosystem! The largest external customers of Azure Cosmos DB API for NoSQL, running some of the biggest and most mission critical workloads in Azure, are primarily Java users! From powerful new AI integrations to improvements in the Java SDK, Spring Data, Spark, and Kafka...

As AI-driven apps become more sophisticated, there's an increasing need for them to mimic collaborative problem solving - like a team of domain experts working together. Multi-agent apps offer exactly that: collections of specialized agents that cooperate to handle complex tasks. But to make them production-grade, you need more than just clever pro...

This article was co-authored by Sudhindra Sheshadrivasan, Staff Product Manager at Confluent. We’re excited to announce the General Availability (GA) of the Confluent Cloud-managed V2 Kafka Connector for Azure Cosmos DB! This release marks a major milestone in our mission to simplify and streamline real-time data streaming from and into Azure Co...

We’re continuing to simplify AI app development by integrating Azure Cosmos DB’s cost-effective and scalable vector search directly with Spring AI and LangChain4J! These frameworks empower Java developers to efficiently manage fast and accurate data retrieval with Azure Cosmos DB’s scalability and efficient vector indexing and search capabilities, ...

We’re always busy adding new features, fixes, patches, and improvements to our Java-based client libraries for Azure Cosmos DB for NoSQL. In this regular blog series, we share highlights of recent updates in the last period. January – June 2024 updates ...

The Azure Fabric team announced Azure Cosmos DB CDC source to an event stream in preview at BUILD 2024. This capability uses a brand new major version of The Azure Cosmos DB Kafka Connector behind the scenes, and we are also excited to introduce version 2.0 in beta preview! This new version brings significant improvements in both the source and ...

The authors wish to thank Govind Kanshi (Principal PM Manager), Abinav Rameesh (Principal PM Manager), Kushagra Thapar (Principal Engineering Manager), Annie Liang (Sr. Software Engineer) and Faiz Chachiya (Sr. Cloud Solution Architect, CSU) for their valuable insights, and contributions during the Proof-of-Concept (PoC). Introduction  Azure Cosm...