Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®.

Kafka 93

Kafka Cloud Data Pipeline PostgreSQL 93

Confluent

JULY 31, 2019

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 Control for enterprise-grade security. To solve these challenges, Confluent Platform 5.3

Kafka 19

Kafka Cloud Accessible Accessibility 19

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc.

Kafka 21

Kafka Management Cloud AWS 21

Confluent

MAY 9, 2019

It offers time travel, a source of truth, scaling, consistency and many elements that we can rely on. Pillar 4 – Operational plane: Event logging, DLQs and automation. This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Putting it all together.

Kafka 92

Kafka Pipeline-centric Architecture Database-centric 92