I used Prometheus in a Java app to monitor the different number of logs in my system.
Once I added <Prometheus name="METRICS"/> to my log4j.xml appenders configuration my Prometheus metrics were populated with the number of info/error/debug messages that were logged in my system.
This was very helpful. I am trying to achieve the same functionality in a golang microservice which uses the default golang log.
Is there any native prometheus support for this kind of functionality or do i need to implement it myself?
Logger doesn't offer any hooks, so there's no way to create such a thing. What you'd want to do is put a wrapper on top of it, or use a different logging system.
Related
I have a problem to add a custom metrics in Kafka Streams.
I made a Kafka Streams application with Spring Boot like this. (Kafka Streams with Spring boot. Baeldung)
and deployed several of this app on k8s.
I want to know about avg number of processd message per second of each app instance. and it exists in Kafka Streams built-in thread metrics(process-rate). (ref. Kafka Streams Metrics)
But, that metric use thread-id at tag key and so each app instance has different metric tag key.
I'd like to use that metric value as the same tag key in each app instance.
So, I came up with a solution. It's about using that built-in metric value to add a new custom metric.
But, There's no specific information about how I get built-in metric values in source code and add a custom metric..
In ref, there's a way to add a custom metrics but no specific information about how can I apply in source code.
Is there a way to solve this problem? Or is there any other way?
I want to show the metrics of ActiveMQ(messages arriving in the EXPIRY_QUEUE and DL_QUEUE) on Sentry and generate the Alerts using Sentry.
Kindly suggest any option to scrape the ActiveMQ metrics in Sentry.
As the documentation notes:
Apache ActiveMQ Artemis can export metrics to a variety of monitoring systems via the Micrometer vendor-neutral application metrics facade.
However, the Micrometer website does not list Sentry as a supported integration. I'm not familiar with Sentry, but if it can deal with formats from other platforms (e.g. Prometheus) then you could make it work. Otherwise you'll likely have to write your own plugin.
I cannot find any reference on implementation of getting metrics.
Can Someone help with an example and references?
As stats_example says here, You can get stats listed in STATISTICS.md. But clearly mentioned in the example comments, You need to implement metrics
Stats events are emitted as JSON (as string). Either directly forward
the JSON to your statistics collector, or convert it to a map to
extract fields of interest.
So in this case, In your application, you need to implement metrics collector something like prometheus
And if you want full broker side metrics, You can implement Kafka monitoring As Kafka Documentation explained here
Kafka uses Yammer Metrics for metrics reporting in the server. The
Java clients use Kafka Metrics, a built-in metrics registry that
minimizes transitive dependencies pulled into client applications.
Both expose metrics via JMX and can be configured to report stats
using pluggable stats reporters to hook up to your monitoring system.
i have to leverage kafka connector as source but creating connector by REST api in production is something I want to avoid, is it possible to create connector during startup without using REST api?
I understand REST api provides the flexibility to dynamically create/configure connectors and size the tasks, but really want to if the same can be done during startup either by providing any configuration problem.
Currently I start connector in distributed mode by supplying properties file and I want to mention the database, filters, transformers and other details there itself.
Let me know if there is a way to achieve.
How can I build a microservice to monitor Kafka metrics?
I don't want to use the confluent control center or any other tool.
Before building anything like a microservice, I would explore the kafka exporter for Prometheus to expose Kafka metrics in prometheus format. You could then use Prometheus server to scrape these metrics and Grafana for dashboarding/visualisations. There's other tools you could use for scraping instead of Prometheus/Grafana, e.g. Elastic Metricbeat (which I mention because you've tagged the question with 'elasticsearch'), but the Prometheus/Grafana combination is quite easy to get up and running - there's also out-of-the-box Grafana dashboards that you can install without having to set this up manually e.g. this one.