Observability Engineering
Logs, Metrics, Traces, and Profiles for Understanding Complex Systems
In this course, you will: Distinguish the three pillars of observability: logs, metrics, and distributed traces; Instrument applications with OpenTelemetry for vendor-neutral telemetry collection; Collect, ship, and analyze logs with structured logging and centralized aggregation.

30+
Hours
8
Modules
14
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About Observability Engineering
Logs, Metrics, Traces, and Profiles for Understanding Complex Systems
In this course, you will: Distinguish the three pillars of observability: logs, metrics, and distributed traces; Instrument applications with OpenTelemetry for vendor-neutral telemetry collection; Collect, ship, and analyze logs with structured logging and centralized aggregation.
What This Training Covers
The Observability Engineering programme at Tutorsbot spans 30+ hours across 8 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
Observability Engineering is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
8 modules · 14 topics · 30 hrs
01Observability Foundations
7 topics
Observability Foundations
7 topics
- Observability vs monitoring — Understanding system behavior vs watching known failures
- Three pillars — Logs, metrics, and traces: definitions, tradeoffs, and use cases
- Cardinality — High-cardinality data and its impact on metrics and tracing system cost
- MELT model — Metrics, Events, Logs, and Traces as the observability signal taxonomy
- Observability-driven development — Designing for observability from the start
- Golden signals — Latency, traffic, errors, and saturation for service health
- Observability maturity — Reactive alerting through proactive continuous analysis
02Structured Logging
7 topics
Structured Logging
7 topics
- Structured vs unstructured logs — JSON log format for machine-readable parsing
- Log levels — DEBUG, INFO, WARN, ERROR, FATAL and their appropriate usage
- Correlation IDs — Propagating request IDs across microservices for trace linking
- Log aggregation pipeline — Collection, shipping, parsing, and indexing lifecycle
- Fluentd and Fluent Bit — Log routing and filtering for Kubernetes environments
- Vector — High-performance log collection, transformation, and delivery daemon
- Log sampling — Head and tail-based sampling to control log volume at scale
OpenTelemetry
Topics included
5 more modules available
Enter your details to unlock the complete syllabus
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every Observability Engineering batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire Observability Engineering Talent from Tutorsbot
Companies hiring Observability Engineering talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about Observability Engineering, answered by our training experts
1Who should take Observability Engineering?
2Does Observability Engineering include a certificate?
3Is placement support included with Observability Engineering?
4How long does Observability Engineering take to complete?
5What is the mode of delivery for Observability Engineering?
6Can I get a free demo class for Observability Engineering?
7What kind of projects will I work on in Observability Engineering?
8What if I miss a class?
9Is Observability Engineering worth it for experienced professionals?
10What is the refund policy for Observability Engineering?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to Observability Engineering materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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