Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
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...
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.
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.
Streaming data has become critical to the success of modern businesses. Leveraging real-time data enables companies to deliver the rich, digital experiences and data-driven backend operations that delight customers. For […]
Azure Synapse users are looking to unlock access to on-premises, open source, and hybrid cloud systems to extend advanced analytics capabilities for their organizations. Building connectivity between all your distributed […]
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 […]
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 […]
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 […]
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 […]
The Confluent Q1 ‘22 Launch is live and packed full of new features that enable businesses to continue innovating quickly with real-time experiences fueled by data in motion. Our quarterly […]
While Self-Balancing Clusters (SBC) perform effectively in balancing Apache Kafka® clusters, one of the common themes we hear from our users is that they would love some visibility into the […]
Chances are your business is migrating to the cloud. But if you operate business applications in an on-premises datacenter, you know firsthand that the journey to the cloud is fraught […]
Collecting and indexing logs from servers, applications, and devices enables crucial visibility into running systems. A log analytics pipeline allows teams to debug and troubleshoot issues, track historical trends, or […]
An initial distributed deployment of Confluent Platform is often a necessary step toward supporting your first real-time data use case. We offer enterprise-grade deployment orchestration with Confluent for Kubernetes and […]
Sharing metadata on the data you store in your Confluent cluster is paramount to allow for effective sharing of that data across the enterprise. As the usage of real-time data […]
In our February 2020 blog post Celebrating Over 100 Supported Apache Kafka® Connectors, we announced support for more than 100 connectors on Confluent Platform. Since then, we have been focused […]
At Confluent, we’re serious about security, and we’re focused on simplifying security visibility across our cloud and on-premises solution. This blog demonstrates how to monitor Confluent Cloud authorization events using […]