Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training ELK Stack - Master Real-Time Log Observability training are: Linux mastery, basics of Elasticsearch, Logstash, Kibana, JSON, Bash and Python scripting.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training ELK Stack - Master Real-Time Log Observability training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training ELK Stack - Master Real-Time Log Observ... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training ELK Stack - Master Real-Time Log Observability training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training ELK Stack - Master Real-Time Log Observability training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training ELK Stack - Master Real-Time Log Observability training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training 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

Training 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.