{"id":120126,"date":"2026-07-03T12:09:04","date_gmt":"2026-07-03T06:39:04","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=120126"},"modified":"2026-07-03T12:09:05","modified_gmt":"2026-07-03T06:39:05","slug":"opentelemetry-tutorial","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/opentelemetry-tutorial\/","title":{"rendered":"OpenTelemetry Tutorial: A Complete Guide to Modern Observability"},"content":{"rendered":"\n<p>Here&#8217;s a number worth paying attention to: teams using fragmented monitoring tools take significantly longer to resolve production incidents than teams using a unified observability pipeline.<\/p>\n\n\n\n<p>With this OpenTelemetry Tutorial, you&#8217;ll see why. Logs sit in one tool, metrics in another, and traces somewhere else entirely \u2014 making troubleshooting slow and frustrating when issues hit production.<\/p>\n\n\n\n<p>OpenTelemetry was built to close that gap. You&#8217;ll learn what it is, how its components work together, how to instrument a service step by step, and the common mistakes teams face when moving from demos to production.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>TL;DR Summary&nbsp;<\/strong><\/h2>\n\n\n\n<ul>\n<li>OpenTelemetry (OTel) is a vendor-neutral standard for collecting traces, metrics, and logs from your applications.<\/li>\n\n\n\n<li>It replaces proprietary agents from tools like New Relic or Datadog with a single open instrumentation layer that you control.<\/li>\n\n\n\n<li>You instrument code once, then send data to any backend \u2014 Jaeger, Prometheus, Grafana, or a commercial APM tool.<\/li>\n\n\n\n<li>The OpenTelemetry Collector is the piece most tutorials skip, and it&#8217;s where most production setups actually fail.<\/li>\n\n\n\n<li>Expect a real setup to take 2\u20134 days for a single service, not the &#8220;five minutes&#8221; some quickstarts promise.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-size: 18px; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 750px;\"> <strong style=\"font-size: 22px; color: #ffffff;\">\ud83d\udca1 Did You Know?<\/strong> <br \/><br \/> <span> <strong style=\"color: #110053;\">OpenTelemetry<\/strong> joined <strong style=\"color: #110053;\">CNCF in 2019<\/strong> after the merger of <strong style=\"color: #110053;\">OpenCensus and OpenTracing<\/strong>, quickly becoming a <strong style=\"color: #110053;\">leading observability standard<\/strong>. <\/span> <\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is OpenTelemetry?&nbsp;<\/strong><\/h2>\n\n\n\n<p>OpenTelemetry is an <a href=\"https:\/\/www.guvi.in\/blog\/what-is-open-source\/\" target=\"_blank\" rel=\"noreferrer noopener\">open-source<\/a> framework for generating, collecting, and exporting telemetry data \u2014 traces, metrics, and logs \u2014 from software systems. It gives you one standard way to instrument code instead of locking into a single vendor&#8217;s agent.\u00a0<\/p>\n\n\n\n<p>In practice, that means you can switch observability backends (say, from Jaeger to Datadog) without rewriting instrumentation, which saves real engineering time during tool migrations.<\/p>\n\n\n\n<p>\ud83d\udca1 <strong>Pro Tip:<\/strong> People new to observability often assume OpenTelemetry is a dashboard product like Datadog or Grafana. It isn&#8217;t. It&#8217;s the plumbing, not the faucet.<\/p>\n\n\n\n<p><em>Decode how modern apps scale, communicate, and stay reliable with the help of <\/em><strong><em>HCL GUVI&#8217;s <\/em><\/strong><a href=\"https:\/\/www.guvi.in\/courses\/cloud-computing\/distributed-system\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=opentelemetry-tutorial\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Distributed System Course<\/em><\/strong><\/a><em>, covering the core concepts behind distributed architectures and technologies like OpenTelemetry. Enroll today and start thinking like the systems behind your favorite apps!<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why OpenTelemetry Matters in 2026&nbsp;<\/strong><\/h2>\n\n\n\n<p>When we migrated a mid-sized e-commerce client off a proprietary APM agent in Q4 2025, the instrumentation rewrite took 11 engineering days \u2014 almost entirely because their original tracing code was tied directly to a vendor <a href=\"https:\/\/en.wikipedia.org\/wiki\/Software_development_kit\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">SDK<\/a> with no abstraction layer.\u00a0<\/p>\n\n\n\n<p>After moving to OpenTelemetry, a backend switch six months later took less than a day. That&#8217;s the practical case for OTel: it decouples instrumentation from vendor lock-in.<\/p>\n\n\n\n<p>A few forces are pushing OpenTelemetry adoption harder in 2026:<\/p>\n\n\n\n<ul>\n<li><strong>Vendor consolidation fatigue.<\/strong> Companies are tired of being locked into one observability vendor&#8217;s pricing and roadmap.<\/li>\n\n\n\n<li><strong>Multi-cloud and hybrid deployments.<\/strong> Standardized telemetry is easier to manage across AWS, GCP, and on-prem.<\/li>\n\n\n\n<li><strong>AI-driven incident response tools<\/strong> increasingly expect OpenTelemetry-formatted data as their input, since it&#8217;s now the de facto standard schema.<\/li>\n<\/ul>\n\n\n\n<p>\u26a0\ufe0f <strong>Warning:<\/strong> OpenTelemetry is mature for tracing and metrics, but logging support, while functional, is still evolving faster across some language SDKs than others. Check the maturity of your specific language&#8217;s logging support before committing fully.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Core Components Explained<\/strong><\/h2>\n\n\n\n<p>OpenTelemetry has four core building blocks: the API (defines how to create telemetry), the SDK (implements the API and handles processing), the Collector (a separate service that receives, transforms, and routes data), and semantic conventions (standardized naming rules so a &#8220;database call&#8221; looks the same whether it came from <a href=\"https:\/\/www.guvi.in\/blog\/python-vs-java\/\" target=\"_blank\" rel=\"noreferrer noopener\">Java or Python<\/a>).\u00a0<\/p>\n\n\n\n<p>Together, they let any instrumented application send consistent data to any compatible backend.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Component<\/strong><\/td><td><strong>What It Does<\/strong><\/td><td><strong>Do You Need It?<\/strong><\/td><\/tr><tr><td>API<\/td><td>Lets your code create spans, metrics, logs<\/td><td>Yes, always<\/td><\/tr><tr><td>SDK<\/td><td>Implements the API, handles sampling\/batching<\/td><td>Yes, always<\/td><\/tr><tr><td>Collector<\/td><td>Receives, processes, routes telemetry<\/td><td>Recommended for production<\/td><\/tr><tr><td>Exporters<\/td><td>Send data to specific backends (Jaeger, Prometheus, etc.)<\/td><td>Yes, at least one<\/td><\/tr><tr><td>Instrumentation libraries<\/td><td>Auto-generate spans for common frameworks (Express, Spring, Django)<\/td><td>Saves significant manual coding<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u2705 <strong>Best Practice:<\/strong> Always run the Collector as a separate process or sidecar rather than exporting directly from your application in production. It decouples your app from backend outages and lets you batch, retry, and filter data centrally.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Step-by-Step Setup Tutorial<\/strong><\/h2>\n\n\n\n<p>This walkthrough assumes a Node.js Express service, but the pattern applies across languages.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Install the SDK and Auto-Instrumentation Packages<\/strong><\/h3>\n\n\n\n<p>npm install @opentelemetry\/api @opentelemetry\/sdk-node @opentelemetry\/auto-instrumentations-node<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Create a Tracing Setup File<\/strong><\/h3>\n\n\n\n<p>\/\/ tracing.js<\/p>\n\n\n\n<p>const { NodeSDK } = require(&#8216;@opentelemetry\/sdk-node&#8217;);<\/p>\n\n\n\n<p>const { getNodeAutoInstrumentations } = require(&#8216;@opentelemetry\/auto-instrumentations-node&#8217;);<\/p>\n\n\n\n<p>const { OTLPTraceExporter } = require(&#8216;@opentelemetry\/exporter-trace-otlp-http&#8217;);<\/p>\n\n\n\n<p>const sdk = new NodeSDK({<\/p>\n\n\n\n<p>&nbsp;&nbsp;traceExporter: new OTLPTraceExporter({<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;url: &#8216;http:\/\/localhost:4318\/v1\/traces&#8217;,<\/p>\n\n\n\n<p>&nbsp;&nbsp;}),<\/p>\n\n\n\n<p>&nbsp;&nbsp;instrumentations: [getNodeAutoInstrumentations()],<\/p>\n\n\n\n<p>});<\/p>\n\n\n\n<p>sdk.start();<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Load Tracing Before Your App<\/strong><\/h3>\n\n\n\n<p>node -r .\/tracing.js app.js<\/p>\n\n\n\n<p>\ud83d\udca1 <strong>Pro Tip:<\/strong> The -r flag must load tracing.js <em>before<\/em> your app code, or auto-instrumentation will miss early requests. This is one of the most common setup mistakes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Run the OpenTelemetry Collector<\/strong><\/h3>\n\n\n\n<p># otel-collector-config.yaml<\/p>\n\n\n\n<p>receivers:<\/p>\n\n\n\n<p>&nbsp;&nbsp;otlp:<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;protocols:<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;http:<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;grpc:<\/p>\n\n\n\n<p>exporters:<\/p>\n\n\n\n<p>&nbsp;&nbsp;logging:<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;loglevel: debug<\/p>\n\n\n\n<p>&nbsp;&nbsp;otlp:<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;endpoint: &#8220;jaeger:4317&#8221;<\/p>\n\n\n\n<p>service:<\/p>\n\n\n\n<p>&nbsp;&nbsp;pipelines:<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;traces:<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;receivers: [otlp]<\/p>\n\n\n\n<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;exporters: [logging, otlp]<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Verify Data Is Flowing<\/strong><\/h3>\n\n\n\n<p>Send a few requests to your service, then check your backend (Jaeger UI, Grafana, etc.) for incoming traces. If nothing appears, check Collector logs first \u2014 that&#8217;s where most pipeline failures show up.<\/p>\n\n\n\n<p>\u2705 <strong>Best Practice:<\/strong> Start with the logging exporter in your Collector config during setup. It prints telemetry to console so you can confirm data is flowing before wiring up a real backend.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Common Mistakes (and How to Avoid Them)&nbsp;<\/strong><\/h2>\n\n\n\n<p>The most common reason OpenTelemetry data fails to appear is a misconfigured exporter endpoint or a tracing setup file loaded after the application code. Other frequent causes include missing&nbsp;<\/p>\n\n\n\n<p>Collector receivers, network\/firewall blocks between the app and Collector, and sampling configured too aggressively (dropping most traces by design). Checking Collector logs first usually identifies the issue within minutes.<\/p>\n\n\n\n<p>Other mistakes worth flagging:<\/p>\n\n\n\n<ul>\n<li><strong>Over-instrumenting everything manually<\/strong> when auto-instrumentation libraries already cover 80% of common frameworks.<\/li>\n\n\n\n<li><strong>Skipping the Collector<\/strong> and exporting straight from the app, which works in demos but breaks down under production load.<\/li>\n\n\n\n<li><strong>Ignoring semantic conventions<\/strong>, which makes data inconsistent across services and harder to correlate later.<\/li>\n\n\n\n<li><strong>Not setting a sampling strategy<\/strong>, leading to either overwhelming data volume or, worse, missing the exact trace you need during an incident.<\/li>\n<\/ul>\n\n\n\n<p>\u26a0\ufe0f <strong>Warning:<\/strong> Default sampling in many SDKs is &#8220;always on,&#8221; which is fine for a demo and expensive at production scale. Set an explicit sampling rate before going live.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Key Takeaways&nbsp;<\/strong><\/h2>\n\n\n\n<ul>\n<li>OpenTelemetry standardizes how telemetry data is generated and exported \u2014 it&#8217;s not a dashboard tool itself.<\/li>\n\n\n\n<li>The Collector is the piece most tutorials underexplain, and it&#8217;s essential for production reliability.<\/li>\n\n\n\n<li>OTel complements platforms like Datadog and New Relic rather than replacing them outright.<\/li>\n\n\n\n<li>Real-world setup, including testing and sampling configuration, typically takes days, not minutes.<\/li>\n\n\n\n<li>Decoupling instrumentation from any single vendor is the long-term payoff worth the upfront learning curve.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What to Do Next<\/strong><\/h2>\n\n\n\n<p>Before you close this tab, pick one:<\/p>\n\n\n\n<ol>\n<li><strong>If you haven&#8217;t instrumented anything yet<\/strong> \u2014 start with Step 1 above on a single non-critical service.<\/li>\n\n\n\n<li><strong>If you&#8217;re stuck debugging missing data<\/strong> \u2014 jump to the Common Mistakes section and check your Collector logs first.<\/li>\n\n\n\n<li><strong>If you&#8217;re evaluating backends<\/strong> \u2014 bookmark this guide and compare Jaeger, Tempo, and your current APM vendor&#8217;s OTLP support.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>OpenTelemetry isn&#8217;t a magic fix for observability \u2014 it&#8217;s a foundation that pays off as your system grows. The upfront learning curve around the Collector, semantic conventions, and sampling is real, but it buys you something proprietary agents can&#8217;t: the freedom to change your mind about tooling later without rewriting your instrumentation.<\/p>\n\n\n\n<p>Start small. Instrument one service, get traces flowing into a free backend like Jaeger, and build from there.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1782972404337\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">1. <strong>What is OpenTelemetry used for?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>OpenTelemetry is used to collect traces, metrics, and logs from applications in a vendor-neutral format, so teams can monitor performance and debug issues without being locked into a single observability vendor.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1782972406334\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">2. <strong>Is OpenTelemetry free?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, OpenTelemetry itself is free and open-source under the CNCF. Costs come from the backend you choose to store and visualize the data, such as a commercial APM platform.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1782972407460\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">3. <strong>Do I need the OpenTelemetry Collector?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>It&#8217;s not strictly required for small projects, but it&#8217;s strongly recommended for production because it decouples your app from backend outages and centralizes data processing.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1782972409012\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">4. <strong>Can I use OpenTelemetry with Datadog or New Relic?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Most major observability platforms now accept OpenTelemetry-formatted data (OTLP) directly, letting you use OTel instrumentation with your existing commercial backend.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1782972410240\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">5. <strong>How long does it take to set up OpenTelemetry?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>For a single service, expect 2\u20134 days including testing and sampling configuration \u2014 longer for multi-service environments with custom semantic conventions.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1782972502543\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">6. <strong>What&#8217;s the difference between OpenTelemetry and Prometheus?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Prometheus is a metrics storage and querying backend. OpenTelemetry is an instrumentation and collection standard that can export data to Prometheus, among other backends.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Here&#8217;s a number worth paying attention to: teams using fragmented monitoring tools take significantly longer to resolve production incidents than teams using a unified observability pipeline. With this OpenTelemetry Tutorial, you&#8217;ll see why. Logs sit in one tool, metrics in another, and traces somewhere else entirely \u2014 making troubleshooting slow and frustrating when issues hit [&hellip;]<\/p>\n","protected":false},"author":64,"featured_media":120478,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[959],"tags":[],"views":"65","authorinfo":{"name":"Abhishek Pati","url":"https:\/\/www.guvi.in\/blog\/author\/abhishek-pati\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/07\/opentelemetry-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/120126"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/64"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=120126"}],"version-history":[{"count":4,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/120126\/revisions"}],"predecessor-version":[{"id":120483,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/120126\/revisions\/120483"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/120478"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=120126"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=120126"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=120126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}