New in Confluent Cloud: Making Data & Pipelines Accessible for AI-Ready Streaming | Learn More
Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
Our journey with microservices, so far… Back in the days before microservices, we used to build applications that were often hosted in application servers such as WebLogic or WebSphere (apologies […]
Microservices architectures have now been widely adopted among developers, and with a great degree of success. However, drawbacks do exist. Data silos can arise where information processed by one microservice […]
The global video game market is bigger than the music and film industry combined. It includes Triple-A, casual/mid-core, mobile, and multiplayer online games. Various business models exist, such as hardware […]
As businesses increasingly rely on Apache Kafka® for mission-critical applications, resiliency becomes non-negotiable. Any unplanned downtime and breaches can result in lost revenue, reputation damage, fines or audits, reduced CSAT, […]
Not all telemetry data is created equal, but Health+ can help you prioritize the most important bits. If you’re reading this blog post, it’s quite likely that you are in […]
Apache Kafka® has a rich ecosystem of hundreds of connectors to get data in and out of Kafka. You probably need multiple connectors in your architecture to support data in […]
What is KRaft, and how does it work? Apache Kafka® Raft (KRaft) is the consensus protocol that was introduced to remove Apache Kafka’s dependency on ZooKeeper™ for metadata management. This […]
Networking is a core technology skill set that affects practitioners at all levels and parts of a business, from developers and users who often benefit from learning foundational networking concepts […]
The largest companies in the world use Apache Kafka® for their real-time streaming data pipelines and applications. Kafka is the basis for the real-time fraud text alerts from your bank […]
Wildlife monitoring is critical for keeping track of population changes of vulnerable animals. As part of the Confluent Hackathon ʼ22, I was inspired to investigate if a streaming platform could […]
If you are new to Apache Kafka®, this article is a great way to help you kick-start your first Kafka project and set your data in motion. The best way […]
Serverless stream processing with Apache Kafka® is a powerful yet often underutilized field. Microsoft’s Azure Functions, in combination with ksqlDB and Confluent’s sink connector, provide a powerful and easy-to-use set […]
Back in 2020, so many folks picked up pandemic hobbies—things they could throw themselves into at full force while they were restricted by lockdowns. I chose houseplants. Prior to the […]
The worlds of data integration and data pipelines are changing in ways that are highly reminiscent of the profound changes I witnessed in application and service development over the last twenty years.