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Kafka

Complete Guide to tracing Kafka clients with OpenTelemetry in Go

OpenTelemetry can be used to trace Go applications that use Kafka to find performance issues and bugs. OpenTelemetry is an open-source project under the Cloud Native Computing Foundation (CNCF) that aims to standardize the generation and collection of telemetry data. Telemetry data includes logs, metrics, and traces. Apache Kafka introduced the ability to add headers to Kafka messages from version 0.11 onwards.

Webinar | What's new with Aiven platform

This is your chance to hear directly from Jonah Kowall, the VP of Product Management at Aiven, as he takes you on a journey through our dynamic platform and highlights the latest advancements we've made in the past six months. Not only will you get an exclusive look at all the exciting new features, but you'll also discover the contributions Aiven has made to open source communities like Kafka, OpenSearch, and PostgreSQL.

How to monitor Kafka and Confluent Cloud with Elastic Observability

The blog will take you through best practices to observe Kafka-based solutions implemented on Confluent Cloud with Elastic Observability. (To monitor Kafka brokers that are not in Confluent Cloud, I recommend checking out this blog.) We will instrument Kafka applications with Elastic APM, use the Confluent Cloud metrics endpoint to get data about brokers, and pull it all together with a unified Kafka and Confluent Cloud monitoring dashboard in Elastic Observability.

Streaming conversion of Apache Kafka topics from JSON to Avro with Apache Flink

Pushing data in JSON format to an Apache Kafka topic is very common. However, dealing with messages not having a predefined structure can create some problems, specifically when trying to sink the data via connectors, like the JDBC sink, which require the knowledge of the message structure. Transforming the messages from JSON to AVRO can enforce a schema on messages and allow the usage of a bigger variety of connectors.

Create a streaming dataset for Apache Kafka with Docker

Experiencing Apache Kafka without a streaming dataset is impossible, and finding streaming datasets ready to be used with Kafka is quite difficult. This video showcases how you can start creating fake streaming data in minutes using Docker. CHAPTERS ABOUT AIVEN Aiven’s cloud data platform helps your business reach its highest potential by making your data work for you. It provides fully managed open source data infrastructure on all major clouds, helping developers focus on what they do best: innovate and create without worrying about the limitations of technology.

Aiven for Apache Flink - a new developer experience for data streaming | Aiven webinar

Drive programmatic stream processing at scale with Aiven for Apache Flink, the latest managed service from Aiven! Together with Aiven for Apache KafkaⓇ, Aiven for Apache Flink provides an end-to-end environment to ease the development of stream processing applications. Combine it with Aiven’s managed database and observability technologies, and you get a full cloud data platform ready to satisfy the demands of the modern technology organization.
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Evolution of Kafka and Advantages Over Messaging

Apache Kafka has come a long way since its initial development at LinkedIn in 2010 and its release as an open-source project the following year. Over the past decade, it has grown from a humble messaging bus used to power internal applications into the world's most popular streaming data platform. Its evolution is remarkable, and it has taken the industry by storm, quickly becoming a go-to solution for data streaming and processing.