🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Distributed Tracing 2026 - Optimising Microservices Observability

Ref: WHO940
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master the Distributed Tracing 2026 protocols for professional certifying observability
  • Develop advanced skills in distributed instrumentation for the enterprise
  • Implement OpenTelemetry and Jaeger in complex environments
  • Optimise traces to reduce microservices latencies by 50%
  • Design Grafana dashboards tailored to expert training
  • Deploy scalable tracing solutions in DevOps CI/CD
  • Certify your skills in distributed tracing to boost your career

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Fundamentals of Distributed Tracing 2026: OTLP and W3C Protocols (OpenTelemetry, Jaeger)

Dive into the 2026 evolutions of tracing standards with OpenTelemetry, configure OTLP exporters, implement custom spans on Kubernetes microservices, analyse first traces via Jaeger UI, perform practical exercises on Go and Python apps, produce an initial performance report to identify hidden bottlenecks, while integrating real enterprise cases for immediate application.

Module 2Expert Instrumentation for Distributed Tracing 2026: Auto-instrumentation and Sampling (Tempo, Zipkin)

Advance to automatic instrumentation with 2026 OpenTelemetry agents, deploy adaptive samplers to scale to millions of requests, integrate Tempo for long-term trace storage, test on real Kubernetes clusters, debug distributed latency scenarios, generate trace-derived metrics, apply hands-on exercises with provided source code, deliver a production-ready instrumented prototype for DevOps.

Module 3Analysis and Correlation for Distributed Tracing 2026: Trace-Log-Metrics Links (Grafana, Prometheus)

Master trace correlation with Loki logs and Prometheus metrics, configure advanced Grafana queries to visualise distributed flows, analyse root causes in real-time on microservices outage cases, implement trace-based alerts, practice on massive simulated datasets, optimise trace storage costs, produce custom exportable dashboards, enhancing your professional observability skills.

Module 4Security and Scalability for Distributed Tracing 2026: Trace Encryption and Sharding (Elastic APM)

Secure traces with TLS and OpenTelemetry 2026 RBAC, implement horizontal sharding for petabytes of data, integrate Elastic APM for hybrid tracing, test resilience under Chaos Engineering load, configure custom B3/W3C propagations, perform practical security audits, deploy in GitLab CI pipelines, deliver a scalable blueprint for enterprise DevOps teams.

Module 5Production Deployment of Distributed Tracing 2026: End-to-End Observability (Real Enterprise Cases)

Deploy a complete tracing stack in simulated production, integrate with Istio service mesh, measure ROI via 99.99% SLA uptime, analyse war stories from Fortune 500 enterprises, finalise a capstone project with code and dashboards, prepare for expert certification, benefit from in-depth Q&A, receive post-training resources for immediate enterprise implementation.

Evaluation method

  • Advanced technical quizzes on 2026 protocols (80% pass threshold)
  • Real microservices case studies with analysis report
  • Final project: deployed tracing stack and Grafana dashboard

Learning method

  • 70% hands-on practice with real Kubernetes labs
  • Real-world cases inspired by Fortune 500 productions
  • Individualised remote live pedagogical support
  • Post-training resources: code, videos, alumni community

Methods, materials and delivery

The Training Distributed Tracing 2026 - Optimising Microservices Observability program is delivered onsite or remote (blended-learning, e-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 Distributed Tracing 2026 - Optimising Microservices 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 Distributed Tracing 2026 - Optimising Microservices 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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 24 h · Industry-certified · Corporate funding
WhatsApp