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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...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Building a Dependable Real-Time Betting App with Confluent Cloud and Ably
Our everyday digital experiences are in the midst of a revolution. Customers increasingly expect their online experiences to be interactive, immersive, and real time by default. The need to satisfy […]
Modernize Your Hybrid and Multicloud Data Architecture
Whether you were born in the cloud, are just dipping your toes in the water with cloud, or are somewhere in between, chances are your organization is on a cloud […]
Introducing Stream Processing Use Case Recipes Powered by ksqlDB
From fraud detection and predictive analytics, to real-time customer experiences and cyber security, stream processing has countless benefits for use cases big and small. By unlocking the power of continuous […]
Software Engineer Sanjana Kaundinya on Moving from the Classroom to Confluent
When Sanjana Kaundinya chose Confluent for her first job out of college, she was eager to learn as much as possible—and in the two years since, that’s exactly what she’s […]
Securing Your Logs in Confluent Cloud with HashiCorp Vault
Logging is an important component of managing service availability, security, and customer experience. It allows Site Reliability Engineers (SREs), developers, security teams, and infrastructure teams to gain insights to how […]
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 […]