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.
All around the world, companies are asking the same question: What is happening right now? We are inundated with pieces of data that have a fragment of the answer. But […]
It’s 3:00 am and PagerDuty keeps firing you alerts about your application being down. You need to figure out what the issue is, if it’s impacting users, and resolve it […]
The cloud opens up exciting new opportunities for information gathering, analysis, and sharing that can make every organization’s products and services better. Thanks to the cloud and its decentralized nature, […]
Apache Kafka® scales well. A Kafka cluster can grow to tens or hundreds of brokers and easily sustain tens of GB per second of read and write traffic. But scaling […]
With the release of Confluent Platform 6.0 comes a preview of Confluent Cluster Linking available to self-managed customers and in Confluent Cloud for our early access partners. Cluster Linking is […]
Stream processing applications, including streaming ETL pipelines, materialized caches, and event-driven microservices, are made easy with ksqlDB. Until recently, your options for interacting with ksqlDB were limited to its command-line […]
Each month, we’ve announced a set of Confluent features organized around what we think are the key foundational traits of cloud-native data systems as part of Project Metamorphosis. Data systems […]
The ksqlDB team is pleased to announce ksqlDB 0.12.0. This release continues to improve upon the usability of ksqlDB and aims to reduce administration time. Highlights include query upgrades, which […]
ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka®. Every day, we answer many questions about the project, but here’s a […]
Twitter, one of the most popular social media platforms today, is well known for its ever-changing environment—user behaviors evolve quickly; trends are dynamic and versatile; and special and emergent events […]
Operating critical Apache Kafka® event streaming applications in production requires sound automation and engineering practices. Streaming applications are often at the center of your transaction processing and data systems, requiring […]
The promise of cloud computing is simplicity, speed, and cost savings. But what about workloads that can’t move to the cloud? Are they stuck using expensive legacy tooling and practices? […]
Since the MongoDB Atlas source and sink became available in Confluent Cloud, we’ve received many questions around how to set up these connectors in a secure environment. By default, MongoDB […]
Near-real-time insights have become a de facto requirement for Azure use cases involving scalable log analytics, time series analytics, and IoT/telemetry analytics. Azure Data Explorer (also called Kusto) is the […]