Fabian Lee : Software Engineer

Kubernetes: HorizontalPodAutoscaler evaluation based on Prometheus metric

September 9, 2023
Categories: Kubernetes, Monitoring

HorizontalPodAutoscaler (HPA) allow you to dynamically scale the replica count of your Deployment based on basic CPU/memory resource metrics from the metrics-server. If you want scaling based on more advanced scenarios and you are already using the Prometheus stack, the prometheus-adapter provides this enhancement. The prometheus-adapter takes basic Prometheus metrics, and then synthesizes custom API … Kubernetes: HorizontalPodAutoscaler evaluation based on Prometheus metric

Java: Adding custom metrics to Spring Boot Micrometer Prometheus endpoint

June 29, 2022
Categories: Development, Java

If you have enabled Actuator and the ‘micrometer-registry-prometheus’ dependency in your Spring Boot application, then you will have a new ‘/actuator/prometheus’ web endpoint that returns general information about threads, garbage collection, disk, and memory. This information is delivered in standard prometheus formatting as plaintext, with one metric per line. This is exactly the type of … Java: Adding custom metrics to Spring Boot Micrometer Prometheus endpoint

Java: exposing a custom Actuator endpoint with Spring Boot

June 29, 2022
Categories: Development, Java

If you have enabled Actuator in your Spring Boot application, then in addition to the standard endpoints for health and metrics, you can also add your own endpoint to expose custom metrics. In its simplest form, this is done by adding a @Component and @Endpoint annotation to a custom class that returns the metrics, and … Java: exposing a custom Actuator endpoint with Spring Boot

Zabbix: Monitoring Windows performance metrics and event log with Zabbix Agent

February 25, 2018
Categories: Monitoring

The Windows Zabbix Agent provides a native interface to the Windows Performance Counters. and Event Log. This means that with minimal overhead, and no additional shells out to Powerscript or the command line, you can collect any of the metrics available from PerfMon or Event Viewer.

Zabbix: Sending Zabbix metrics using a Go client

May 19, 2017
Categories: Monitoring, Scripting

The open-source Zabbix monitoring solution has a published, simple binary protocol that allows you to send metrics to the Zabbix server without relying on the Zabbix Agent – which makes it very convenient for integration with other parts of your infrastructure. In this article, I’ll show how to use the go-zabbix package for sending metrics to … Zabbix: Sending Zabbix metrics using a Go client

Zabbix: Accessing Zabbix using the py-zabbix Python module

April 21, 2017
Categories: Monitoring, Python

The open-source Zabbix monitoring solution has a REST API that provides the ability for deep integrations with your existing monitoring, logging, and alerting systems. This fosters development of community-driven modules like the py-zabbix Python module, which is an easy way to automate Zabbix as well as send/retrieve metrics.

ELK: Installing MetricBeat for collecting system and application metrics

April 16, 2017
Categories: DevOps, Monitoring

ElasticSearch’s Metricbeat is a lightweight shipper of both system and application metrics that runs as an agent on a client host. That means that along with standard cpu/mem/disk/network metrics, you can also monitor Apache, Docker, Nginx, Redis, etc. as well as create your own collector in the Go language. In this article we will describe installing … ELK: Installing MetricBeat for collecting system and application metrics

Grafana: Connecting to an ElasticSearch datasource

January 15, 2017
Categories: DevOps

The ElasticSearch stack (ELK) is popular open-source solution that serves as both repository and search interface for a wide range of applications including: log aggregation and analysis, analytics store, search engine, and document processing. Its standard web front-end, Kibana, is a great product for data exploration and dashboards. However, if you have multiple data sources … Grafana: Connecting to an ElasticSearch datasource

Logstash: Using metrics to debug the filtering process

July 18, 2016
Categories: DevOps

When building your logstash filter, you would often like to validate your assumptions on a large sampling of input events without sending all the output to ElasticSearch. Using Logstash metrics and conditionals, we can easily show: How many input events were processed successfully How many input events had errors An error file containing each event … Logstash: Using metrics to debug the filtering process