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Confluent Blog
Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Unlock Cost Savings with Freight Clusters–Now in General Availability
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
Unleash Real-Time Agentic AI: Introducing Streaming Agents on Confluent Cloud
Build event-driven agents on Apache Flink® with Streaming Agents on Confluent Cloud—fresh context, MCP tool calling, real-time embeddings, and enterprise governance.
Deploying Self-Managed Connectors on EKS Fargate
The choice of how to get your data in and out of your Apache Kafka® clusters is one that merits thoughtful consideration. On one hand, you can choose to develop […]
Why ZooKeeper Was Replaced with KRaft – The Log of All Logs
Why replace ZooKeeper with an internal log for Apache Kafka® metadata management? This post explores the rationale behind the replacement, examines why a quorum-based consensus protocol like Raft was utilized […]
Practice Manager Gemma Singleton on Building Confidence—and Careers—at Confluent
Gemma Singleton joined Confluent three years ago as an associate level solutions architect. While the job at Confluent appeared less “senior” than the position she was leaving, moving into a […]
Announcing ksqlDB 0.24.0
We are excited to announce ksqlDB 0.24! It comes with a slew of improvements and new features. Access to Apache Kafka® record headers will enable a whole host of new […]
How Confluent Can Help Optimize and Modernize Your SIEM for Better Cybersecurity
In the last few years, we’ve seen hugely impactful cyberattacks that have grabbed the attention of the media, the security community, and the IT industry. The WannaCry attack, for instance, […]
An Introduction to Data Mesh
Decentralized architectures continue to flourish as engineering teams look to unlock the potential of their people and systems. From Git, to microservices, to cryptocurrencies, these designs look to decentralization as […]
How to Make Apache Kafka Clients Go Fast(er) on Confluent Cloud
Imagine your team wants to design a data streaming architecture and you’re in charge of creating the prototype. Within a few minutes, you provision a fully managed Apache Kafka® cluster […]
Confluent’s Data Streaming Platform Can Save Over $2.5M vs. Self-Managing Apache Kafka
If you’re reading this, it’s likely because you are leveraging (or considering) Apache Kafka® in your organization—especially as it has become the de facto standard for data streaming. Adopted by […]
Building Real-Time Data Systems the Hard Way
A few years ago I helped build an event-driven system for gym bookings. The pitch was that we were building a better experience for both the gym members booking different […]
How Storyblocks Enabled a New Class of Event-Driven Microservices with Confluent
In many ways, Storyblocks’ technical journey has mirrored that of most other startups and disruptors: Start small and as simple as possible (i.e., with a PHP monolith) Watch the company […]
Bringing Your Own Monitoring (BYOM) with Confluent Cloud
As data flows in and out of your Confluent Cloud clusters, it’s imperative to monitor their behavior. Bring Your Own Monitoring (BYOM) means you can configure an application performance monitoring […]
3 Reasons Why Storyblocks Chose Confluent Over Other Apache Kafka Services
Storyblocks is the world’s first stock media subscription service offering video, audio, and images. To support this fast-growing business, the Storyblocks platform produces millions of events every day, ranging from […]
Defrag Your Data Architecture
With many operating systems you have to periodically run a disk defragmenter program (“defrag”) to restore your system efficiency. By reorganizing the data stored on disk, sequential data becomes more […]
Streaming SFDC Data to BigQuery for Real-Time Customer Analytics
A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […]