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The Importance of Distributed Tracing for Apache-Kafka-Based Applications

Confluent

Numerous connectors are available from Confluent Hub , and there is an API for building your own if you can’t find what you need. Introducing tracing inevitably results in a performance impact, with applications carrying out additional operations, such as measuring latency, collecting traces and reporting to tracing infrastructure.

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Building a Scalable Search Architecture

Confluent

Distributed transactions are very hard to implement successfully, which is why we’ll introduce a log-inspired system such as Apache Kafka ®. As soon as the number of data points involved in your search feature increases, typically we’ll introduce a broker in between all the involved components.

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Internal services pipeline in Analytics Platform

Picnic Engineering

In the “Picnic Analytics Platform: Migration from AWS Kinesis to Confluent Cloud” we described why and how we migrated from AWS Kinesis to Confluent Cloud. Our pipeline captures these events and sends them to Confluent Cloud. We continue our story on the Analytics Platform setup in Picnic. FROM confluentinc/cp-kafka-connect:7.1.3

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Putting Events in Their Place with Dynamic Routing

Confluent

This paradigm of multiple services acting on the same stream of events is very flexible and extends to numerous domains, as demonstrated in practice through the various examples throughout this blog post: Finance: a stream of financial transactions in which each financial transaction is an event.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

You may join a Kafka community on Reddit or a forum of Kafka experts on the Confluent website. Confluent , founded by Kafka’s authors. You may also learn Kafka with Confluent which offers white papers and guides on different aspects of Kafka along with video courses and tutorials for developers. Multiple Kafka vendors.

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Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Confluent

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 ®. Spring Cloud Data Flow ecosystem.

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A Guide to the Confluent Verified Integrations Program

Confluent

Recently, Confluent introduced a revised Verified Integrations Program to support the goal of supplementing connectors provided by Confluent with high-quality and well-vetted integrations from partners. Partner interest in integrating with other aspects of the Confluent Platform besides sources and sinks has grown as well.