6/23/2023 0 Comments Rabbitmq monitoring dashboard![]() ![]() The cli containers shouldn’t be running by default. I also enabled telegraf to connect to the rabbitmq instance (this is covered in greater detail in RabbitMQ Monitoring Integration). Since I wanted to try out grafana with rabbitmq, I modified the original docker-compose file to include a rabbitmq (with management enabled) container and a grafana container as well. The TICK makers also provide a sample docker-compose setup for all 4 components. Their documentation has a pretty nice architecture diagram: It can process both stream and batch data from InfluxDB. Kapacitor is a native data processing engine. It makes the monitoring and alerting for your infrastructure easy to setup and maintain. InfluxDB is a custom high performance datastore written specifically for timestamped data, including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics.Ĭhronograf is the administrative user interface and visualization engine of the platform. InfluxDB is a Time Series Database built from the ground up to handle high write & query loads. It also has output plugins to send metrics to a variety of other datastores, services, and message queues, including InfluxDB, Graphite, OpenTSDB, Datadog, Librato, Kafka, MQTT, NSQ, and many others. Telegraf has plugins or integrations to source a variety of metrics directly from the system it’s running on, to pull metrics from third party APIs. Telegraf is a plugin-driven server agent for collecting and reporting metrics. It basically breaks down into 4 parts: Component The setup is covered in great detail in their page. ![]()
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