<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>observability on Kuldeep Pisda</title><link>https://kdpisda.in/tag/observability/</link><description>Recent content in observability on Kuldeep Pisda</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 15 Dec 2025 08:29:32 +0530</lastBuildDate><atom:link href="https://kdpisda.in/tag/observability/index.xml" rel="self" type="application/rss+xml"/><item><title>My Top 12 Application Performance Monitoring Tools for Startups in 2025</title><link>https://kdpisda.in/my-top-12-application-performance-monitoring-tools-for-startups-in-2025/</link><pubDate>Sat, 13 Dec 2025 13:10:29 +0530</pubDate><guid>https://kdpisda.in/my-top-12-application-performance-monitoring-tools-for-startups-in-2025/</guid><description>&lt;p&gt;We have all been there. It is 2 AM, a PagerDuty alert screams, and you are staring at a dashboard where latency has gone vertical. The system, once a purring engine, is now a sputtering mess. Was it a bad deploy? A rogue Celery task? A database query that decided to tour your entire dataset? This is the moment every engineer at a growing startup dreads. It is not just a bug; it is a black box. You need visibility, not just logs. I have spent countless nights in that exact darkness, and this article is the map I wish I had. It is my practical guide to choosing from the best application performance monitoring tools without getting lost in marketing speak.&lt;/p&gt;</description></item></channel></rss>