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Grafana Training - Optimizing Expert Infrastructure Supervision

Ref: HHP453
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

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Learning objectives

  • Master advanced Grafana architectures for professional, certifiable enterprise observability.
  • Develop custom Grafana dashboards integrating Prometheus, ELK, and Datadog for expert supervision.
  • Configure complex, automated alerts in Grafana to minimize downtime.
  • Optimize large-scale Grafana performance using advanced scaling and caching techniques.
  • Implement security and governance solutions in Grafana for secure enterprise environments.
  • Design Grafana data pipelines for predictive and proactive metrics analysis.
  • Acquire certifiable monitoring skills to advance your DevOps 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 1Grafana Architecture: Multi-Datasource Configuration and Advanced Plugins (Prometheus, ELK, Datadog)

Dive into expert Grafana architecture by configuring multi-datasources with Prometheus for metrics, ELK for logs, and Datadog for traces through practical exercises on real Kubernetes clusters. Install and customize Loki and Tempo plugins, test data federation for a unified view, and produce an optimized enterprise-ready architecture diagram, enhancing your certifiable professional monitoring skills.

Module 2Expert Grafana Dashboards: Advanced Visualization and Dynamic Variables (Monitoring Tool Integration)

Design ultra-performant Grafana dashboards with advanced template variables, heatmaps, and geomaps to visualize massive data from Prometheus and ELK, using real cloud infrastructure cases. Implement automated annotations and intelligent repeaters, complete hands-on exercises with production datasets, and generate exportable PDF reports, building expert enterprise supervision skills.

Module 3Grafana Alerting: Complex Rules and Native Integrations (Prometheus Alertmanager, ELK, Datadog)

Master expert alerting in Grafana by creating multi-condition rules with silences and inhibitions, integrated with Prometheus Alertmanager and ELK for unified notifications via Slack and PagerDuty. Simulate real outage scenarios in practical labs, configure SRE golden signals, test automated escalations, and deploy a deliverable alerting playbook, optimizing your team's professional monitoring responsiveness.

Module 4Grafana Performance and Scaling: High-Availability Optimization (Expert Databases, Caching)

Optimize Grafana for large-scale environments by configuring high-performance PostgreSQL/MySQL, Redis caching, and distributed sharding, with exercises on Kubernetes Helm deployments. Analyze bottlenecks using Grafana integrated with Prometheus, implement SSO authentication and advanced RBAC, test resilience under load, and produce a certifiable scaling blueprint for critical enterprise infrastructures.

Module 5Grafana Security and Governance: Enterprise Deployments and ML Integrations (Predictive Observability)

Implement expert Grafana governance with audit logs, team management, and GDPR compliance, integrating ML models for anomaly detection via Prometheus and Datadog. Develop advanced use cases like SLO/SLI tracking with ELK, complete a final project on a full stack, deploy in simulated production, and earn a skills certification validating your professional monitoring expertise for enterprise.

Evaluation method

  • Continuous assessments via 15 practical labs and daily peer feedback.
  • Final expert multiple-choice quiz with 50 real-world production case questions.
  • Certifying final project: complete Grafana dashboard deployed and presented.

Learning method

  • Hands-on methods with 70% practice on real Kubernetes environments.
  • Case studies from Fortune 500 companies using expert-level Grafana.
  • Individualized instructional support in groups of max 10.
  • Post-training resources: virtual labs and alumni community.

Methods, materials and delivery

The Grafana Training - Optimizing Expert Infrastructure Supervision 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 Grafana Training - Optimizing Expert Infrastructure Supervision 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 Grafana Training - Optimizing Expert Infrastructure Supervision 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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