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Technology
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.
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 […]
What’s New in Apache Kafka 3.1.0
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […]
Introduction to Streaming Data Pipelines with Apache Kafka and ksqlDB
A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture […]
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 […]
Announcing ksqlDB 0.23.1
We’re pleased to announce ksqlDB 0.23.1! This release allows you to now perform pull queries on streams, which makes it much easier to find a given record in a topic. […]
5 Common Pitfalls When Using Apache Kafka
Whether you’re a seasoned Apache Kafka® developer or just getting started you’re likely to hit a snag at some point or another—either in configuring and understanding your clients or setting […]
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 […]
I Interviewed Nearly 200 Apache Kafka Experts and I Learned These 10 Things
Many leading lights of the Apache Kafka® community have appeared as guests on Streaming Audio at one time or another in the past three years. But some of its episodes […]
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 […]
The Definitive Guide to Building a Data Mesh with Event Streams
Data mesh. This oft-talked-about architecture has no shortage of blog posts, conference talks, podcasts, and discussions. One thing that you may have found lacking is a concrete guide on precisely […]