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Training Grafana Mimir 2026 - Mastering Scalable Metrics Storage

Ref: CRI990
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master the fundamentals of Grafana Mimir 2026 for professional certification training
  • Configure a scalable Mimir cluster in an enterprise environment
  • Integrate Prometheus with Mimir for advanced monitoring skills
  • Develop optimized Grafana dashboards for supervision
  • Implement alerts and secure long-term storage
  • Optimize Mimir performance for production environments
  • Acquire practical skills in distributed monitoring for certification

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Introduction to Grafana Mimir 2026: architecture and key concepts (tools, initial installation, use cases)

Discover the distributed architecture of Grafana Mimir 2026, a scalable solution for storing billions of Prometheus metrics, through live demonstrations and guided exercises on Docker containers. Install a single-node cluster, explore the ingesters, distributors, and storage components, configure tenants for multi-user support, and create your first query selectors. Apply to real enterprise cases, produce a deliverable architecture diagram, and strengthen your beginner skills in professional monitoring.

Module 2Configuring Grafana Mimir 2026: clusters and high availability (Helm, Kubernetes, scaling)

Dive into the Helm deployment of Grafana Mimir 2026 on Kubernetes, configure high availability with multiple replicas, integrate MinIO for S3-compatible object storage, and test horizontal scaling through practical exercises. Manage advanced YAML configurations, enable metrics compression, monitor resources with integrated Prometheus, and simulate load spikes. Produce a resilient cluster deliverable, apply to real IT scenarios, and boost your enterprise supervision skills.

Module 3Integrating Grafana Mimir 2026: Prometheus and Grafana (dashboards, queries, alerts)

Integrate Prometheus remote_write to Grafana Mimir 2026, build dynamic Grafana dashboards with Loki for logs, explore advanced PromQL on long-term data, and configure Alertmanager for multi-channel notifications. Perform hands-on exercises on Tempo queries for traces, test metrics federation, and optimize alerting rules. Create a complete dashboard deliverable, apply to observability monitoring cases, and develop certification skills in modern stacks.

Module 4Optimizing Grafana Mimir 2026: performance and troubleshooting (tuning, security, production)

Optimize Grafana Mimir 2026 for production with querier tuning, TSDB block compaction, security via mTLS and OAuth, and troubleshooting common errors via logs and metrics. Simulate cluster failures, apply best practices for reduced cloud costs, integrate with Thanos for backups, and deploy in multi-tenant mode. Produce an optimization plan deliverable, test on real environments, and consolidate your beginner skills for effective enterprise supervision.

Evaluation method

  • Daily interactive quizzes to validate theoretical knowledge
  • Practical case studies on simulated Mimir clusters
  • Final project: complete deployment of a Grafana Mimir 2026 cluster with report

Learning method

  • Active pedagogy with 70% hands-on practice on secure remote labs
  • Unlimited access to the video replay platform post-training
  • Personalized pedagogical support by certified experts
  • Downloadable resources: Helm templates, ready-to-use dashboards

Methods, materials and delivery

The Training Grafana Mimir 2026 - Mastering Scalable Metrics Storage 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 Grafana Mimir 2026 - Mastering Scalable Metrics Storage 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 Grafana Mimir 2026 - Mastering Scalable Metrics Storage 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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