jmx_exporter VS prometheus

not quite sure if this is where I should be asking for help but i'm kind of befuddled about this whole situation. I'm trying to set up https://github.com/prometheus/jmx_exporter for our containerized Java application on our cluster. Specifically the JavaAgent as we are interested in getting the CPU and memory metrics especially. However, getting it initialized I am faced with this:

Prometheus doesn't deal with logs at all - only metrics. Even just for metrics, you have several different choices depending on how your Java application is running. You may be able to use the JMX Exporter to expose the metrics that you would then scrape with Prometheus. For the logs, you'll need something like Fluent Bit as an agent to grab ('tail' in Fluent Bit input terms) the logs and send them to Elasticsearch or Grafana Loki.

- https://github.com/prometheus/jmx_exporter - https://github.com/lightbend/kafka-lag-exporter (Export Kafka Topics Lag Metrics) - https://github.com/danielqsj/kafka_exporter (Export Kafka Metrics) - https://github.com/obsidiandynamics/kafdrop (Topic Administration tool - create/edit/delete topics & view messages)

Usually I use a javaagent that transforms the JMX metrics into prometheus style metrics, for example: https://github.com/prometheus/jmx_exporter/blob/116a1c4b3fafcfbb9e566b34e130ccc805f331fc/example_configs/kafka-0-8-2.yml

Another good one is to add the jmx_exporter agent plugin. This allows easy collection of real-time performance metrics.

In our case, we add sink connectors for AWS Kinesis and Google Cloud PubSub. We also add a Prometheus exporter JAR that scrapes the Kafka Connect JMX metrics and exposes them as Prometheus metrics.

WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and

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Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

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Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.

Prometheus

Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.

wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz

Prometheus: Open-source monitoring system. Often used together with Grafana.