Training OpenTelemetry Java - Mastering Distributed Observability

On quote

  • 3 days
  • Onsite
  • 10 people max.
Ref: STC368
10 people max.
On quote
In-company rate: on quote
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without OpenTelemetry Java, debugging distributed microservices takes 50% more time on average, causing outages that cost 100k€ per hour in e-commerce.

  • Teams without unified traces lose 40% productivity on incidents, with 68% of prod outages linked to failing observability according to CNCF 2025.

  • In the enterprise, this slows DevOps promotions and exposes the company to RGPD compliance breaches.

  • Every quarter without expert skills widens the competitive gap, while leaders deploy 3x faster with 99.99% SLO.

  • Invest now to avoid these irreversible losses.

Imed BEN AMOR, Learni trainer · Development expert
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,714 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

  • Master OpenTelemetry Java for instrumenting professional applications
  • Develop certified distributed traces in microservices environments
  • Implement unified metrics and logs collection in enterprise settings
  • Design export pipelines to backends such as Grafana and Prometheus
  • Optimize observability performance for Kubernetes deployments
  • Integrate OpenTelemetry into existing Java projects with auto-instrumentation
  • Deploy scalable and secure observability solutions

Program

Module 1OpenTelemetry Java Fundamentals: Advanced Configuration and SDK (Maven, Gradle, Agents)

Dive into expert installation of OpenTelemetry Java via SDK and automatic agents, configure OTLP exporters for Jaeger and Prometheus in a real Spring Boot project, manually instrument spans and contextual traces with baggage propagation, complete exercises on simulated microservices in Kubernetes, generate your first custom dashboards, and analyze trace-metrics correlations to identify bottlenecks. Produce an enterprise-ready instrumentation report with optimized source code and unit tests.

Module 2OpenTelemetry Java Instrumentation: Distributed Traces and Contexts (Spring, Quarkus, gRPC)

Advance to OpenTelemetry Java instrumentation in frameworks like Spring Cloud and Quarkus, implement context propagation via W3C TraceContext over HTTP/gRPC, enrich spans with semantic attributes for structured logs and exceptions, practice on a concrete e-commerce microservices case with 5 interconnected services, configure adaptive samplers to reduce noise in production, integrate runtime metrics like JVM and GC, and validate via Tempo queries for perfect trace-log correlation, resulting in a functional observability pipeline deliverable.

Module 3OpenTelemetry Java Deployment: Production Pipelines and Optimization (Kubernetes, Security, Alerting)

Master OpenTelemetry Java deployment in production with Helm charts for Kubernetes collectors, secure exports via mTLS and custom headers, optimize batches and processors to scale to 10k spans/second, integrate SLO-based alerts with Prometheus rules, test resilience via chaos engineering on your cluster, analyze real incidents with root cause identified in 5 minutes, finalize with a red thread project deployed via CI/CD GitHub Actions, including full documentation, Grafana monitoring dashboards, and enterprise rollout plan for zero-trust observability.

Evaluation method

  • Expert multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through advanced practical exercises
  • Defense of the OpenTelemetry red thread project on a Kubernetes cluster

Learning method

  • Courses led by an active OpenTelemetry expert trainer
  • Practical exercises on real enterprise microservices use cases
  • Progressive red thread project with full instrumentation
  • Detailed course materials and source code provided to each participant

Methods, materials and delivery

The Training OpenTelemetry Java - Mastering Distributed Observability program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training OpenTelemetry Java - Mastering Distributed Observability program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training OpenTelemetry Java - Mastering Distributed Observability program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Frequently asked questions

Which tools are used in OpenTelemetry Java training?+
Hands-on work runs on maven, gradle, agents, spring, quarkus and gRPC. Those tools come from the OpenTelemetry Java program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after OpenTelemetry Java training?+
They can master OpenTelemetry Java for instrumenting professional applications, develop certified distributed traces in microservices environments and implement unified metrics and logs collection in enterprise settings. Those are the stated objectives of the OpenTelemetry Java program at Expert level, checked by the end-of-session assessment.
What does the OpenTelemetry Java program cover, day by day?+
Day 1: OpenTelemetry Java Fundamentals: Advanced Configuration and SDK (Maven, Gradle, Agents). Day 2: OpenTelemetry Java Instrumentation: Distributed Traces and Contexts (Spring, Quarkus, gRPC). Day 3: OpenTelemetry Java Deployment: Production Pipelines and Optimization (Kubernetes, Security, Alerting). The OpenTelemetry Java program runs over 3 days, delivered on site.
How is OpenTelemetry Java training assessed?+
Assessment relies on expert multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through advanced practical exercises and defense of the OpenTelemetry red thread project on a Kubernetes cluster. Learni issues a completion certificate together with the individual assessment report at the end of the OpenTelemetry Java program, which an L&D team can file as evidence.
How much does OpenTelemetry Java training cost per participant?+
OpenTelemetry Java training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does OpenTelemetry Java training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for OpenTelemetry Java training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before OpenTelemetry Java training?+
Expertise in Java 17+, Spring Boot, Micrometer, and basic tracing with Jaeger or Zipkin.
Is a certificate issued after OpenTelemetry Java training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks