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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.
Building a Real-Time Data Pipeline with Oracle CDC and MarkLogic Using CFK and Confluent Cloud
Today, enterprise technology is entering a watershed moment, businesses are moving to end-to-end automation, which requires integrating data from different sources and destinations in real time. Every industry from Internet […]
Harness Trusted, Quality Data Streams with Confluent Platform 7.1
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 […]
Migrating Data to Azure Synapse with Confluent’s Fully Managed Connector to Unlock Real-Time Advanced Analytics
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 […]
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 […]
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 […]
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 […]
Announcing the Confluent Q1 ‘22 Launch
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 […]
Auto-Balancing and Optimizing Apache Kafka Clusters with Improved Observability and Elasticity in Confluent Platform 7.0
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 […]
The Link To Cloud: How to Build a Seamless and Secure Hybrid Data Bridge with Cluster Linking
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 […]
Real-Time Log Analytics as a Service with Confluent and Elasticsearch
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 […]
Deploy Confluent Platform in 5 Steps with the Ansible Installer
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 […]
Data Sharing Patterns with Confluent Schema Registry
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 […]
Introducing 18 New, Fully Managed Connectors in Confluent Cloud
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 […]