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Training ELK Stack - Deploying Centralized Observability in Production

Ref: JHY789
10 people max.
6125€ 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 the ELK Stack architecture for professional, certified deployments
  • Configure Logstash to collect and transform heterogeneous enterprise logs
  • Optimize Elasticsearch to index and search terabytes of data in real-time
  • Develop advanced Kibana dashboards to analyze critical metrics
  • Implement security and high availability in ELK Stack in production
  • Deploy ELK Stack in a cluster on Kubernetes for scalable observability
  • Acquire certified observability skills to boost your 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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1ELK Stack Architecture: Advanced Configuration of Elasticsearch and Logstash (pipelines, indexing)

Dive into installing a high-performance Elasticsearch cluster, configure index templates for massive logs, integrate Logstash with multiple inputs like Beats and Syslog, test transformation pipelines with grok and mutate, perform exercises on real enterprise datasets, and produce your first operational pipeline with integrated monitoring to validate immediate robustness.

Module 2ELK Stack Logstash: Advanced Log Ingestion and Processing (filters, secure outputs)

Master conditional filters and enrichments in Logstash on heterogeneous streams, integrate outputs to Elasticsearch and Kafka, manage errors with dead letter queues, apply real-world cases like normalizing application and container logs, develop and debug complex pipelines live, and generate performance reports to optimize your critical infrastructures by the end of the day.

Module 3ELK Stack Elasticsearch: Query Optimization and Scaling (sharding, replicas)

Optimize mappings and analyzers for ultra-fast full-text searches, implement advanced aggregations on billions of documents, configure sharding and replicas for resilience, test queries with painless scripting on your own datasets, analyze performance via monitoring APIs, deploy ILM policies for automatic index rotation, and validate with a realistic enterprise benchmark.

Module 4ELK Stack Kibana: Advanced Dashboards and Alerts (visualizations, ML jobs)

Create interactive Kibana dashboards with TSVB and Lens for real-time monitoring, configure Watcher alerts on critical anomalies, integrate Machine Learning jobs to detect fraudulent patterns, customize visualizations for DevOps metrics, test Canvas for executive reports, export reusable configurations, and simulate incident scenarios for immediate production responsiveness.

Module 5ELK Stack in Production: Security, HA, and Kubernetes Deployment (X-Pack, Elastic Cloud)

Secure your stack with X-Pack and TLS certificates, configure multi-node high availability, deploy via Helm on Kubernetes with ECK, integrate Fleet for lightweight agents, migrate to Elastic Cloud for infinite scalability, complete a full red thread project with security audit, generate certified deliverables, and create an enterprise rollout plan for immediate post-training implementation.

Evaluation method

  • Technical multiple-choice quiz on ELK Stack architecture and its components
  • Development of a complete Logstash-Elasticsearch-Kibana pipeline
  • Presentation of the red thread project: secure cluster deployment

Learning method

  • Courses led by an ELK Stack expert active in major accounts
  • Practical exercises on real clusters and concrete business cases
  • Progressive red thread project for immediate application of skills
  • Detailed course materials and ready-to-deploy configurations

Methods, materials and delivery

The Training ELK Stack - Deploying Centralized Observability 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 ELK Stack - Deploying Centralized Observability 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 ELK Stack - Deploying Centralized Observability 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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