Get up and running Apache Kafka using Strimzi on Kubernetes

1. strimzi-kafka-k8s

   1 1 2 0.0

   

   Reference: Source code, Strimzi Quick start

2. Sevalla

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3. Apache ZooKeeper

   2 41 12,582 8.6 Java

   Apache ZooKeeper

   

   Strimzi is an open source project licensed under Apache License 2.0 that is part of the Cloud Native Computing Foundation (CNCF) as a sandbox project. Its main focus is running Apache Kafka on Kubernetes while providing container images for Apache Kafka itself, Zookeeper, and other components that are part of the Strimzi ecosystem.

4. prometheus

   3 485 60,120 9.9 Go

   The Prometheus monitoring system and time series database.

   

   It's first post on series of blog posts on Apache Kafka using Strimzi in Kubernetes. In this series we'll see how we can get up and running Apache Kafka using Strimzi on Kubernetes, export metrics, use exported metrics in Prometheus and finally build beautiful graphs in Grafana.

5. kubernetes

   4 801 117,125 10.0 Go

   Production-Grade Container Scheduling and Management

   

   Strimzi is an open source project licensed under Apache License 2.0 that is part of the Cloud Native Computing Foundation (CNCF) as a sandbox project. Its main focus is running Apache Kafka on Kubernetes while providing container images for Apache Kafka itself, Zookeeper, and other components that are part of the Strimzi ecosystem.

6. Grafana

   5 458 69,676 10.0 TypeScript

   The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

   

   It's first post on series of blog posts on Apache Kafka using Strimzi in Kubernetes. In this series we'll see how we can get up and running Apache Kafka using Strimzi on Kubernetes, export metrics, use exported metrics in Prometheus and finally build beautiful graphs in Grafana.

7. InfluxDB

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   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

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