<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metrics on Support Tools</title><link>https://support.tools/tags/metrics/</link><description>Recent content in Metrics on Support Tools</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 28 Aug 2026 00:00:00 -0500</lastBuildDate><atom:link href="https://support.tools/tags/metrics/index.xml" rel="self" type="application/rss+xml"/><item><title>Kubernetes Horizontal Pod Autoscaler Tuning: Advanced Scaling Strategies for Production</title><link>https://support.tools/kubernetes-horizontal-pod-autoscaler-tuning/</link><pubDate>Fri, 28 Aug 2026 00:00:00 -0500</pubDate><guid>https://support.tools/kubernetes-horizontal-pod-autoscaler-tuning/</guid><description>&lt;p&gt;The Horizontal Pod Autoscaler (HPA) automatically scales workloads based on observed metrics. Effective HPA tuning requires understanding scaling algorithms, metric collection, and workload characteristics. This guide covers advanced HPA configurations, custom metrics integration, and production optimization strategies.&lt;/p&gt;</description></item><item><title>Developer Experience Metrics: Measuring and Improving Platform Effectiveness</title><link>https://support.tools/developer-experience-metrics-measurement-enterprise-guide/</link><pubDate>Sun, 07 Jun 2026 00:00:00 -0500</pubDate><guid>https://support.tools/developer-experience-metrics-measurement-enterprise-guide/</guid><description>&lt;p&gt;Measuring developer experience (DX) is essential for platform teams to understand their impact and drive continuous improvement. This guide explores comprehensive metrics frameworks including DORA, SPACE, and DX-specific measurements to quantify and optimize developer productivity and satisfaction.&lt;/p&gt;</description></item><item><title>Custom Metrics with Prometheus Exporters: Building Production-Ready Exporters for Enterprise Systems</title><link>https://support.tools/custom-prometheus-exporters-production-guide/</link><pubDate>Wed, 03 Jun 2026 00:00:00 -0500</pubDate><guid>https://support.tools/custom-prometheus-exporters-production-guide/</guid><description>&lt;p&gt;While Prometheus provides hundreds of community exporters, enterprises often need custom exporters for proprietary systems, legacy applications, or specialized monitoring requirements. This guide covers building production-grade Prometheus exporters from scratch, including best practices, performance optimization, and deployment strategies.&lt;/p&gt;</description></item><item><title>Advanced Monitoring and Observability with Prometheus and Grafana: Enterprise Production Framework 2026</title><link>https://support.tools/advanced-monitoring-observability-prometheus-grafana-enterprise/</link><pubDate>Thu, 09 Apr 2026 00:00:00 -0500</pubDate><guid>https://support.tools/advanced-monitoring-observability-prometheus-grafana-enterprise/</guid><description>&lt;p&gt;Advanced monitoring and observability form the foundation of reliable enterprise systems, requiring sophisticated metrics collection, intelligent alerting, and comprehensive visualization strategies that provide actionable insights into system performance and behavior. This comprehensive guide explores enterprise-grade Prometheus and Grafana implementations, advanced observability patterns, and production-ready monitoring frameworks.&lt;/p&gt;</description></item><item><title>How to Monitor External Services with Prometheus from Kubernetes</title><link>https://support.tools/prometheus-monitor-external-services/</link><pubDate>Sat, 07 Jun 2025 00:00:00 -0500</pubDate><guid>https://support.tools/prometheus-monitor-external-services/</guid><description>&lt;p&gt;Monitoring external systems—like bare-metal servers, APIs, or other cloud services—from within Kubernetes can help unify your observability pipeline. With &lt;strong&gt;Prometheus Operator&lt;/strong&gt;, you don’t need to deploy a second Prometheus instance. Instead, you can expose external targets using Kubernetes-native manifests: &lt;code&gt;Service&lt;/code&gt;, &lt;code&gt;Endpoints&lt;/code&gt;, and &lt;code&gt;ServiceMonitor&lt;/code&gt;.&lt;/p&gt;&#10;&lt;p&gt;In this guide, we’ll walk through:&lt;/p&gt;&#10;&lt;ul&gt;&#10;&lt;li&gt;Monitoring a &lt;strong&gt;VM with Node Exporter&lt;/strong&gt;&lt;/li&gt;&#10;&lt;li&gt;Monitoring a &lt;strong&gt;remote NGINX server&lt;/strong&gt;&lt;/li&gt;&#10;&lt;li&gt;Scraping a &lt;strong&gt;custom REST API&lt;/strong&gt;&lt;/li&gt;&#10;&lt;li&gt;Tips on &lt;strong&gt;TLS and firewalling&lt;/strong&gt; external exporters&lt;/li&gt;&#10;&lt;/ul&gt;</description></item><item><title>Monitoring is a Pain (and We're All Doing it Wrong)</title><link>https://support.tools/monitoring-is-a-pain-and-were-all-doing-it-wrong/</link><pubDate>Thu, 19 Dec 2024 12:00:00 -0500</pubDate><guid>https://support.tools/monitoring-is-a-pain-and-were-all-doing-it-wrong/</guid><description>&lt;p&gt;&lt;strong&gt;And we&amp;rsquo;re all doing it wrong (including me).&lt;/strong&gt;&lt;/p&gt;&#10;&lt;p&gt;Monitoring is supposed to make life easier for developers and operators, but it often does the opposite. Despite our best intentions, observability tools frequently fall short, leaving us with brittle systems, ballooning costs, and frustration.&lt;/p&gt;</description></item></channel></rss>