์ค์๊ฐ ์์ง์ด๋ ๋ฐ์ดํฐ๊ฐ ๊ฐ์ ธ๋ค ์ค ๊ฐ์น, Data in Motion Tour์์ ํ์ธํ์ธ์!
I'm excited to share our intent to acquire Immerok! Together, weโll build a cloud-native service for Apache Flink that delivers the same simplicity, security, and scalability that you expect from Confluent for Kafka.
When you encounter a problem with Apache Kafkaยฎโfor example, an exploding number of connections to your brokers or perhaps some wonky record batchingโitโs easy to consider these issues as something to be solved in and of themselves...
Wildlife monitoring is critical for keeping track of population changes of vulnerable animals. As part of the Confluent Hackathon สผ22, I was inspired to investigate if a streaming platform could [โฆ]
Announcing the latest updates to Confluentโs cloud-native data streaming platform, centralized identity management, enhanced RBAC, Client Quotas, and more.
Confluent is pleased to announce that the Confluent CLIโthe leading command-line tool for managing enterprise Kafka deployments and modern data flowโis now source available under the Confluent Community License.
Building data streaming applications, and growing them beyond a single team is challenging. Data silos develop easily and can be difficult to solve. The tools provided by Confluentโs Stream Governance platform can help break down those walls and make your data accessible to those who need it.
Change data capture (CDC) converts all the changes that occur inside your database into events and publishes them to an event stream. You can then use these events to power analytics, drive operational use cases, hydrate databases, and more. The pattern is enjoying wider adoption than ever before.
In this post, we introduce how to use .NET Kafka clients along with the Task Parallel Library to build a robust, high-throughput event streaming application...
Learn why configuring consumer Group IDs are a crucial part of designing your consumer application. By the end of this post, youโll understand the impact they have on three areas: work sharing, new data detection, and data recovery.
Self-managing connectors come with major time and resource challenges and taking on unnecessary risks of downtime that shift your teamโs focus away from working on more strategic projects and innovations...
If youโve used Kafka for any amount of time youโve likely heard about connections; the most common place that they come up is in regard to clients. Sure, producer and consumer clients connect to the cluster to do their jobs, but it doesnโt stop there. Nearly all interactions across a cluster...
Setting up proactive, synthetic monitoring is critical for complex, distributed systems like Apache Kafkaยฎ, especially when deployed on Kubernetes and where the end-user experience is concerned, and is paramount for healthy real-time data pipelines...
This Thanksgiving-themed blog post walks through a brand new stream processing use case recipe for analyzing survey responses in real-time and gives ideas for how to spice it up and make the recipe your own!
The call for papers for Kafka Summit London 2023 has opened, and weโre looking to hear about your experiences using and working with Kafka. Every great technical talk starts with an experience. If youโre stuck looking for ideas on what to talk about, write what you know...
Confluent Cloud hosts Apache Kafkaยฎ, Kafka Connect, ksqlDB, and more. Hereโs how we re-architected the system for a new deployment platform with zero downtime...
Rebalancing comes into play in Apache Kafkaยฎ when consumers join or leave a consumer group. In either case, there is a different number of consumers over which to distribute the partitions from the topic(s), and, so, they must be redistributed and rebalanced....
It can be easy to go about life without thinking about them, but requests are an important part of Apache Kafka; they form the basis of how clients interact with data as it moves into and out of Kafka topics, and, in certain cases, too many requests can have a negative impact on your brokers...