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Training ELK Stack - Analyze logs in real time

Ref: CXV142
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 Elasticsearch for indexing professional enterprise logs
  • Configure Logstash to ingest and transform massive data
  • Develop Kibana dashboards to visualize certified metrics
  • Implement scalable ELK Stack with enhanced security
  • Optimize queries and alerting for advanced DevOps skills
  • Deploy ELK in production for efficient enterprise monitoring

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 1ELK Stack Fundamentals: Installation and Configuration of Elasticsearch (Docker, indices, mappings)

Quick installation of Elasticsearch via Docker and configuration of a basic cluster for professional projects, creation of optimized indices with custom mappings, ingestion of test logs via curl and REST APIs, practical exercises on performance tuning with sharding and replicas, analysis of cluster metrics to anticipate scalability, delivery of a functional ELK environment ready for production.

Module 2ELK Stack Ingestion: Mastering Logstash Pipelines (inputs, filters, outputs)

Configuration of Logstash pipelines to collect logs from multiple sources such as files, Syslog, and Beats, application of Grok and mutate filters for enriched parsing, real-time transformation of JSON data with if/else conditions, testing on real enterprise datasets, advanced debugging via Logstash logs and dead letter queues, production of a robust pipeline handling 10k events/second with integrated monitoring.

Module 3ELK Stack Visualization: Advanced Kibana Dashboards (DSL Queries, Visualizations)

Creation of interactive Kibana dashboards with Elasticsearch DSL queries for complex searches, use of TSVB and Lens for real-time charts, configuration of automated alerts and watches on log anomalies, data exploration via Discover and Lens with bucket/metric aggregations, practical cases on enterprise application logs, export of PDF reports and secure sharing for DevOps teams.

Module 4ELK Stack Security and Scaling: X-Pack, Roles, and High Availability (Kubernetes)

Activation of X-Pack for SSL authentication, RBAC roles, and secure audit trails in ELK Stack, horizontal scaling with data/master nodes and rolling upgrades, Kubernetes integration via ECK operator for cloud-native deployments, JVM memory optimization and circuit breakers against OOM, exercises on failover and S3 snapshot backups, full securing of an ELK cluster in a critical enterprise environment.

Module 5Advanced ELK Stack Projects: Alerting, ML, and Integrations (Beats, APM)

Deployment of Filebeat and Metricbeat for shipping logs/metrics to ELK, APM integration for full-stack application tracing, implementation of Machine Learning jobs for predictive anomaly detection, SIEM configuration with custom rules and timelines, red thread project on real microservices monitoring, final performance optimization with ILM policies, deliverables including source code and Ansible playbook for rapid enterprise replication.

Evaluation method

  • Technical MCQ on ELK Stack at the end of the training
  • Evaluation through daily practical exercises
  • Defense of the complete ELK project with alerting

Learning method

  • Sessions led by certified DevOps experts
  • Intensive hands-on practice on real ELK clusters
  • 35-hour ELK Stack red thread project
  • Detailed materials and unlimited Git repo access

Methods, materials and delivery

The Training ELK Stack - Analyze logs in real time 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 - Analyze logs in real time 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 - Analyze logs in real time 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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