<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Opentelemetry on Sagar Panda | DevOps &amp; Cloud Infra Engineer</title><link>https://new.sagarpanda.com/tags/opentelemetry/</link><description>Recent content in Opentelemetry on Sagar Panda | DevOps &amp; Cloud Infra Engineer</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 20 Jun 2026 07:45:10 +0530</lastBuildDate><atom:link href="https://new.sagarpanda.com/tags/opentelemetry/index.xml" rel="self" type="application/rss+xml"/><item><title>Seeing Inside Amazon EKS with OpenTelemetry 🔍</title><link>https://new.sagarpanda.com/blogs/monitoring/otel-on-eks/</link><pubDate>Sat, 20 Jun 2026 07:45:10 +0530</pubDate><guid>https://new.sagarpanda.com/blogs/monitoring/otel-on-eks/</guid><description>&lt;h2 id="why-this-setup"&gt;Why This Setup?&lt;a href="#why-this-setup" class="heading-anchor" aria-label="Link to this section"&gt;&lt;svg class="h-4 w-4" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;g fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2"&gt;&lt;path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"/&gt;&lt;path d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"/&gt;&lt;/g&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;Before getting into the architecture, a few quick notes. Telemetry goes to both &lt;strong&gt;New Relic&lt;/strong&gt; and &lt;strong&gt;Honeycomb&lt;/strong&gt; to test OpenTelemetry&amp;rsquo;s backend-independence promise and compare the two. New Relic wins on day-to-day usability — dashboards, APM, and alerts work intuitively. Honeycomb takes more getting used to, but its MCP server is where it genuinely shines: connected to Claude, you can ask plain-English questions against live telemetry — no NRQL or PromQL required. That&amp;rsquo;s the part worth &lt;a
 href="#ask-claude"&gt;&lt;em&gt;&lt;strong&gt;jumping to&lt;/strong&gt;&lt;/em&gt; 👇&lt;/a&gt; first if you&amp;rsquo;re short on time.&lt;/p&gt;</description></item><item><title>Hands-On OpenTelemetry: Prometheus, Jaeger, Grafana and the OTel Demo</title><link>https://new.sagarpanda.com/blogs/monitoring/opentelemetry/</link><pubDate>Mon, 08 Jun 2026 09:10:10 +0530</pubDate><guid>https://new.sagarpanda.com/blogs/monitoring/opentelemetry/</guid><description>&lt;h2 id="preface"&gt;Preface&lt;a href="#preface" class="heading-anchor" aria-label="Link to this section"&gt;&lt;svg class="h-4 w-4" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;g fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2"&gt;&lt;path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"/&gt;&lt;path d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"/&gt;&lt;/g&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;In the &lt;a
 href="https://new.sagarpanda.com/blogs/monitoring/observability/"&gt;&lt;strong&gt;&lt;em&gt;previous article&lt;/em&gt;&lt;/strong&gt;&lt;/a&gt;, we covered the core observability concepts theoretically. The next step is exploring them practically using the OpenTelemetry Demo application.&lt;/p&gt;
&lt;p&gt;The goal here is not to memorize PromQL syntax, but to understand how telemetry actually appears inside a real observability platform. So, let&amp;rsquo;s get started.&lt;/p&gt;</description></item><item><title>Observability 101: Understanding Metrics, Traces and Logs</title><link>https://new.sagarpanda.com/blogs/monitoring/observability/</link><pubDate>Tue, 02 Jun 2026 19:30:10 +0530</pubDate><guid>https://new.sagarpanda.com/blogs/monitoring/observability/</guid><description>&lt;h1 id="introduction"&gt;Introduction&lt;a href="#introduction" class="heading-anchor" aria-label="Link to this section"&gt;&lt;svg class="h-4 w-4" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;g fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2"&gt;&lt;path d="M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"/&gt;&lt;path d="M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"/&gt;&lt;/g&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/h1&gt;&lt;p&gt;Most engineers encounter observability only after something breaks.&lt;/p&gt;
&lt;p&gt;You are deep in the zone on a new feature when an urgent incident gets escalated. The report from customer support is notoriously vague:&lt;/p&gt;
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&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&amp;#34;Checkout is failing.&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&amp;#34;The API is timing out.&amp;#34;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;
 &lt;div hidden data-code-source&gt;&amp;#34;The website is slow.&amp;#34;
&amp;#34;Checkout is failing.&amp;#34;
&amp;#34;The API is timing out.&amp;#34;&lt;/div&gt;
 
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&lt;p&gt;The challenge in modern systems is rarely fixing the bug once you find it. The real headache is finding where the problem lives in the first place.&lt;/p&gt;</description></item><item><title>OTel Labs Platform</title><link>https://new.sagarpanda.com/projects/otel-labs-platform/</link><pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate><guid>https://new.sagarpanda.com/projects/otel-labs-platform/</guid><description>GitOps infrastructure and Kubernetes platform for an OpenTelemetry observability demo, provisioned on Amazon EKS.</description></item></channel></rss>