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

Confluent

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. Data scientists love Python, period.

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How to Connect KSQL to Confluent Cloud using Kubernetes with Helm

Confluent

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka ® , is simple, resilient, secure, and performant, allowing you to focus on what is important—building contextual event-driven applications, not infrastructure. and Helm/Tiller 2.8.2+ Click on the “Clients” option.

Cloud 93
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Monitoring Data Replication in Multi-Datacenter Apache Kafka Deployments

Confluent

Enterprises run modern data systems and services across multiple cloud providers, private clouds and on-prem multi-datacenter deployments. Instead of having many point-to-point connections between sites, the Confluent Platform provides an integrated event streaming architecture with frictionless data replication between sites.

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Using Graph Processing for Kafka Stream Visualizations

Confluent

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. The approach we’ll use works with any Kafka run though.

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Massive scale Kafka and Cassandra deployment for real-time anomaly detection: 19 Billion events per day

Instaclustr

In the past few months, our Technology Evangelist, Paul Brebner has been relentlessly testing the limits of massive-scale deployment of a data pipeline consisting of Apache Kafka and Apache Cassandra on the Instaclustr Managed Platform in conjunction with an example Anomaly detection application running on a Kubernetes cluster deployed on AWS EKS.

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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 ®.

Cloud 94