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Training Jaeger 2026 - Mastering Distributed Tracing in Production

Ref: XJO264
10 people max.
5250€ 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

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Learning objectives

  • Master Jaeger 2026 to implement professional enterprise tracing
  • Develop certifying skills in distributed observability
  • Configure Jaeger to analyze application performance
  • Integrate Jaeger into scalable microservices architectures
  • Optimize Jaeger queries and dashboards for the ops team
  • Deploy Jaeger in production with high availability
  • Produce actionable tracing reports in a business context

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 1Jaeger 2026 Fundamentals: Installation and First Tracing (Docker, Collector)

Quick installation of Jaeger 2026 via Docker Compose for a professional test environment, exploration of the collector and UI Query, first tracing of a Node.js or Java application with OpenTelemetry SDK, practical exercises on sending spans and traces, basic configuration of adaptive samplings, creation of your first traces dashboard with CSV export for enterprise analysis.

Module 2Advanced Jaeger 2026 Configuration: Storage and Sampling (Elasticsearch, Kafka)

Deep dive into Jaeger 2026 configuration with Elasticsearch backends for persistent trace storage, Kafka integration for high-volume ingestion, adjustment of probabilistic and adaptive sampling strategies on real microservices cases, practical workshops to tune performance, load simulation with Jaeger benchmark tools, production of custom metrics and alerts based on trace latencies.

Module 3Jaeger 2026 Integration: Application Instrumentation (SDKs, Auto-instrumentation)

Manual and automatic instrumentation of applications with OpenTelemetry SDK for Jaeger 2026, multi-language support for Python, Go, Java, context propagation via W3C Trace Context, exercises on Spring Boot and Express.js microservices, capture of correlated logs, spans, and metrics, live debugging of a Kubernetes deployment with Jaeger sidecar, generation of service dependency maps usable in DevOps teams.

Module 4Jaeger 2026 Analysis and Queries: Dashboards and Search (UI, Jaeger Query)

Mastery of the Jaeger 2026 UI for advanced trace queries, temporal filters, tags, errors, latencies, construction of custom dashboards with Jaeger HotROD demo, workshops analyzing bottlenecks via flamegraphs and waterfalls, data export to Grafana and Prometheus, concrete e-commerce cases for root cause analysis, writing of alert procedures based on enterprise trace thresholds.

Module 5Production Deployment of Jaeger 2026: Scalability and Security (Helm, Best Practices)

Helm Kubernetes deployment of Jaeger 2026 in a high-availability cluster, securing with TLS authentication and Jaeger Operator, horizontal scaling of agents and collectors, monitoring Jaeger itself via Prometheus, exercises migrating from Zipkin to Jaeger, security audit and GDPR compliance for traces, final deliverable: a production rollout plan with quantified observability ROI for management.

Evaluation method

  • Certifying multiple-choice quiz on Jaeger 2026 and observability
  • Practical evaluation through red thread project instrumentation
  • Presentation of Jaeger deployment in simulated environment

Learning method

  • Sessions led by expert in active Jaeger production
  • Hands-on exercises on real Kubernetes clusters
  • Complete red thread project for microservices tracing
  • Digital pedagogical support and provided source code

Methods, materials and delivery

The Training Jaeger 2026 - Mastering Distributed Tracing in Production 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 Jaeger 2026 - Mastering Distributed Tracing in Production 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 Jaeger 2026 - Mastering Distributed Tracing in Production 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.

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