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Training ELK Stack - Master Real-Time Log Observability

Ref: HNZ645
10 people max.
$6,300 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Configure complex Logstash pipelines for ingesting heterogeneous logs
  • Optimize Elasticsearch indexes for scalable performance
  • Develop advanced Kibana dashboards with interactive visualizations
  • Implement security and high availability for ELK Stack
  • Integrate ELK with Kubernetes and distributed monitoring
  • Analyze anomalies via Machine Learning and proactive alerting
  • Deploy production ELK clusters with zero downtime

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 advanced ELK Stack skills, lose 40% of critical logs in the noise, suffer undetected downtimes (average 6h/week, cost 500€/h), perform manual analysis (x4 team time), miss 70% security anomalies (annual breaches +25%).

  • Master it to track 98% incidents in <5min, save 30k€/year in ops, boost MTTR by 80%, transform logs into a competitive advantage starting tomorrow.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Elasticsearch: Indexing and Optimization (Queries, Sharding)

Dive into custom index configuration, test advanced mappings on massive datasets, optimize sharding through practical exercises with Kibana Dev Tools, analyze real-time performance, produce tuning reports to reduce latency by 50%, experience the thrill of scaling your ELK cluster from day one.

Module 2Expert Logstash: Multi-Source Pipelines and Enrichment (Filters, Outputs)

Build conditional pipelines for Docker and Kubernetes logs, integrate Beats and Kafka via hands-on labs, debug flows with advanced conditionals, generate secure Elasticsearch outputs, test on real-world ingestion of 1M logs/min, feel the power of transforming raw data into actionable insights.

Module 3Pro Kibana: Advanced Dashboards and Visualizations (TSVB, Canvas)

Create dynamic dashboards with Lens and TSVB, explore Canvas for custom reports, implement interactive drill-downs on application logs, automate via Kibana API, validate on real business scenarios, discover the pleasure of monitoring critical metrics at a glance.

Module 4ELK Integration and Scaling: Beats, X-Pack, Kubernetes (Helm, ECK)

Deploy Filebeat and Metricbeat in K8s clusters, configure X-Pack for monitoring and alerting, scale via Elastic Cloud on Kubernetes, simulate extreme loads in workshops, produce Helm blueprints for production, master ELK orchestration for zero interruptions.

Module 5Security, ML, and Capstone Project: ELK Stack (Anomalies, SIEM)

Secure with roles, SAML, and OAuth; activate ML jobs for anomaly detection, build custom SIEM rules, integrate everything in a final project on real logs, present a complete dashboard deliverable, finish as an observability hero with production-ready skills.

Evaluation method

  • Daily technical quizzes, capstone project on day 5, internal advanced ELK certification.

Learning method

  • 90% hands-on practice on real clusters, enterprise use cases, continuous trainer feedback.

Methods, materials and delivery

The Training ELK Stack - Master Real-Time Log 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 ELK Stack - Master Real-Time Log 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 ELK Stack - Master Real-Time Log 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 eligible for corporate training budgets and employer-funded plans.

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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