Apache Kafkaยฎ๏ธ ๋น์ฉ ์ ๊ฐ ๋ฐฉ๋ฒ ๋ฐ ์ต์ ์ ๋น์ฉ ์ค๊ณ ์๋ด ์จ๋น๋ | ์์ธํ ์์๋ณด๋ ค๋ฉด ์ง๊ธ ๋ฑ๋กํ์ธ์
Feature
ksqlDB Execution Plans: Move Fast But Donโt Break Things
The ksqlDB Engineering Team has been hard at work preparing ksqlDB for production availability in Confluent Cloud. This is the first in a series of posts that deep dives into [โฆ]
Dawn of Kafka DevOps: Managing and Evolving Schemas with Confluent Control Center
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 [โฆ]
Putting Events in Their Place with Dynamic Routing
Event-driven architecture means just that: Itโs all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices [โฆ]
KSQL: Whatโs New in 5.2
KSQL enables you to write streaming applications expressed purely in SQL. Thereโs a ton of great new features in 5.2, many of which are a result of requests and support [โฆ]
Kafka Streams’ Take on Watermarks and Triggers
Back in May 2017, we laid out why we believe that Kafka Streams is better off without a concept of watermarks or triggers, and instead opts for a continuous refinement [โฆ]
Spring for Apache Kafka Deep Dive โ Part 1: Error Handling, Message Conversion and Transaction Support
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 Kafkaยฎ, here weโll dig a [โฆ]
Unifying Stream Processing and Interactive Queries in Apache Kafka
This post was co-written with Damian Guy, Engineer at Confluent, Michael Noll, Product Manager at Confluent and Neha Narkhede, CTO and Co-Founder at Confluent. We are excited to announce Interactive [โฆ]