Glowroot VS prometheus

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Monitor the routes passing through the gateway. If a previously available route suddenly starts returning 404 errors, it's a potential sign that the API has undergone a change or an endpoint has been deprecated. Enable the API health check feature to monitor continuously the overall health of upstream nodes. If one of the nodes starts to fail, responding faster or slower than usual, it might indicate a change in the underlying backend service's processing. Integrate APISIX with monitoring tools like Prometheus using the prometheus plugin. Set up alerts based on metrics, such as an increased rate of 4xx or 5xx errors, which could indicate breaking changes in your API.

Monitoring and Logging: Middleware often includes monitoring and logging components like ELK Stack, Prometheus, and Grafana to track the health, performance, and behavior of microservices. This aids in troubleshooting and performance optimization.

Prometheus

run kubectl top to get the metrics of a K8s component. If needed Prometheus can be deployed to gather metrics from nodes and applications.

APISIX has a health check mechanism, which proactively checks the health status of the upstream nodes in your system. Also, APISIX integrates with Prometheus through its plugin that exposes upstream nodes (multiple instances of a backend API service that APISIX manages) health check metrics on the Prometheus metrics endpoint typically, on URL path /apisix/prometheus/metrics.

Prometheus, an open-source systems monitoring and alerting toolkit, has client libraries that allow you to instrument your services in a variety of languages. Here's an example of how you might use the Go client library to expose metrics on an HTTP endpoint. We will leverage the prometheus go client to expose metrics and create them.

Monitoring and Logging: Monitoring statistics and obtaining logs from applications can be done using tools such as Prometheus and Grafana.

Configure OTel exporters to transmit the collected telemetry data to backend systems for storage, analysis, and visualization. Choose an appropriate observability platform. You can use open-source solutions such as Grafana, Prometheus, and Elasticsearch. Or, you can use a comprehensive, turnkey, integrated platform like Sumo Logic to receive and process all of the telemetry data (in the form of logs, metrics, traces, and events). These platforms provide dashboards and visualization tools to monitor and analyze your system's real-time health, performance, and security.

Prometheus{:target="_blank"}: another widely used open-source monitoring system and time-series database designed for collecting metrics from various sources. It offers powerful querying capabilities, alerting functionalities, and easy integration with Grafana (an open-source visualization and monitoring tool).

Prometheus is a monitoring solution that gathers metrics exposed by processes running on servers called exporters, stores that information in a time series database and can raise alerts based on conditions on those metrics.