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★ 5.0 rated · $9.99
Learn Observability, Instrument REST APIs, Distributed Systems, Kubernetes, Learn Best-Practices for Production Systems!
$9.99 with coupon (list $149.99 — save $140.00, 93% off)
Coupon Verified: September 14, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the IT & Software skills on the syllabus match what you actually want to learn. The regular price for OpenTelemetry for Observability: The Complete Course on Udemy is $149.99. With the coupon code on this page, that falls to $9.99 — a saving of $140.00, or 93% off the standard rate Spread across 10h 30m of on-demand video, that works out to roughly $0.95 per hour of content — cheaper than a single chapter of most printed IT & Software textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Lauro Fialho Müller walks you through define SLIs, SLOs, and SLAs and use error budgets to balance reliability with development velocity, deploy a local observability stack with Prometheus, Loki, Tempo, and Grafana, and instrument NodeJS and Python applications with all three observability signals — skills meant to be used, not just watched. It has already been taken by 2,012 students and holds a 4.8-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Solid understanding of Docker, Docker Compose, Kubernetes, and Kustomize concepts; Familiarity with the command line interface (CLI) and basic git operations. Best suited to learners who already have footing in IT & Software. Plan for roughly 10h 30m of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from OpenTelemetry for Observability: The Complete Course — taken from the official Udemy syllabus for IT & Software learners.
Define SLIs, SLOs, and SLAs and use error budgets to balance reliability with development velocity.
Deploy a local observability stack with Prometheus, Loki, Tempo, and Grafana.
Instrument NodeJS and Python applications with all three observability signals.
Implement distributed context propagation across asynchronous service boundaries.
Apply automatic instrumentation to capture framework-level metrics, logs, and traces with minimal code.
Create custom metrics using counters and histograms to track business-level events.
Build custom spans with attributes and error handling for precise trace visibility into business logic.
Configure structured logging with automatic trace context injection for consistent cross-signal correlation.
What you need before enrolling in OpenTelemetry for Observability: The Complete Course — prerequisites as listed by the instructor on Udemy.
Solid understanding of Docker, Docker Compose, Kubernetes, and Kustomize concepts
Familiarity with the command line interface (CLI) and basic git operations
A computer capable of running Minikube, Kind, or a similar local Kubernetes cluster for hands-on labs
Solid understanding of software development, preferably with hands-on software development experience
The full official description of OpenTelemetry for Observability: The Complete Course — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on September 14, 2026.
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