Running a single Apache Kafka® cluster across multiple datacenters (DCs) is a common, yet somewhat taboo architecture. This architecture, referred to as a stretch cluster, provides several operational benefits and
TL;DR Following on from How to Work with Apache Kafka in Your Spring Boot Application, which shows how to get started with Spring Boot and Apache Kafka®, here I will
Compliance requirements often dictate that services should not store secrets as cleartext in files. These secrets may include passwords, such as the values for ssl.key.password, ssl.keystore.password, and ssl.truststore.password configuration parameters
Delivers the new Confluent Operator for cloud-native automation on Kubernetes, a redesigned Confluent Control Center user interface to simplify how you manage event streams, and a preview of Role-Based Access
Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes
In anything but the smallest deployment of Apache Kafka®, there are often going to be multiple clusters of Kafka Connect and KSQL. Kafka Connect is used for building event streaming
When managing Apache Kafka® clusters at scale, tasks that are simple on small clusters turn into significant burdens. To be fair, a lot of things turn into significant burdens at
As we announced in Introducing Confluent Platform 5.2, the latest release introduces many new features that enable you to build contextual event-driven applications. In particular, the management and monitoring capabilities
Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an
KSQL enables you to write streaming applications expressed purely in SQL. There’s a ton of great new features in 5.2, many of which are a result of requests and support
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