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Confluent
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.
Announcing the MongoDB Atlas Sink and Source Connectors in Confluent Cloud
Today, Confluent is announcing the general availability (GA) of the fully managed MongoDB Atlas Source and MongoDB Atlas Sink Connectors within Confluent Cloud. Now, with just a few simple clicks, […]
Monitoring Your Event Streams: Tutorial for Observability Into Apache Kafka Clients
Why should you monitor your Apache Kafka® client applications? Apart from the usual reasons for monitoring any application, such as ensuring uptime SLAs, there are a few specific reasons for […]
Building the Confluent UI with React Hooks – Benefits and Lessons Learned
Updating a fundamental paradigm in your React app can be as easy as search and replace, or at other times, as difficult as convincing your entire frontend engineering to buy […]
Setting Up Secure Networking in Confluent with Azure Private Link
We’re happy to announce that Confluent Cloud, our cloud-native service for Apache Kafka®, now supports Azure Private Link for secure network connectivity, in addition to the existing Azure Virtual Network […]
Monitoring Your Event Streams: Integrating Confluent with Prometheus and Grafana
Self-managing a highly scalable distributed system with Apache Kafka® at its core is not an easy feat. That’s why operators prefer tooling such as Confluent Control Center for administering and […]
How to Run Confluent on Windows in Minutes
I previously showed how to install and set up Apache Kafka® on Windows in minutes by using the Windows Subsystem for Linux 2 (WSL 2). From there, it’s only a […]
Integrating Azure and Confluent: Real-Time Search Powered by Azure Cache for Redis and Spring Cloud
Self-managing a distributed system like Apache Kafka®, along with building and operating Kafka connectors, is complex and resource intensive. It requires significant Kafka skills and expertise in the development and […]
Integrating Azure and Confluent: Ingesting Data to Azure Cosmos DB through Apache Kafka
Building cross-platform solutions enables organizations to leverage technology driven by real-time data and enabled with both highly available services and low-latency databases hosted on Microsoft Azure. Azure Cosmos DB is […]
Securing the Infrastructure of Confluent with HashiCorp Vault
In order for a technology like Confluent Cloud to make it easy to set data in motion, many different software systems are required to interact with each other using API […]
Simplifying Apache Kafka Multi-Cluster Management Using Control Center and Cluster Registry
Most companies who have adopted event streaming are running multiple Apache Kafka® environments. For example, they may use different Kafka clusters for testing vs. production or for different use cases. […]
How to Manage Secrets for Confluent with Kubernetes and HashiCorp Vault
This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a […]
Oracle CDC Source Premium Connector is Now Generally Available
One of the most common relational database systems that connects to Apache Kafka® is Oracle, which often holds highly critical enterprise transaction workloads. While Oracle Database (DB) excels at many […]
Automatic Observer Promotion Brings Fast and Safe Multi-Datacenter Failover with Confluent Platform 6.1
Persisting data in multiple regions has become crucial for modern businesses: They need their mission-critical data to be protected from accidents and disasters. They can achieve this goal by running […]
Introducing Confluent Platform 6.1
We are pleased to announce the release of Confluent Platform 6.1. With this release, we are further simplifying management tasks for Apache Kafka® operators and providing even higher availability for […]