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 ®.

Cloud 94

Cloud Data Applications Windows 94

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

Open Source 19

Open Source Authentication Cloud Resources 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.

Software Review 21

Software Review Technical Review Storage Cloud 21

Confluent

MAY 9, 2019

Pillar 4 – Operational plane: Event logging, DLQs and automation. Yes, we can transact across partitions in Apache Kafka ® , and with traditional database transactions you get many “trust” semantics for free; however, they are pushed down into the database runtime. Four pillars of event streaming. Putting it all together.

Microservices 93

Microservices Metrics Systems Review Architecture 93

Confluent

FEBRUARY 13, 2019

Rather, we apply different event planes to provide orthogonal aspects of system design such as core functionality, operations and instrumentation. Rather, we apply different event planes to provide orthogonal aspects of system design such as core functionality, operations and instrumentation. Event-driven architecture. Data evolution.

Architecture 90

Architecture Programming Microservices Serverless 90

Confluent

SEPTEMBER 13, 2019

Static Membership is an enhancement to the current rebalance protocol that aims to reduce the downtime caused by excessive and unnecessary rebalances for general Apache Kafka ® client implementations. This applies to Kafka consumers, Kafka Connect, and Kafka Streams. Take a Kafka consumer, for example.

Cloud 21

Cloud Groups Software Review Applications 21