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.

What is the duration of the Training ELK Stack - Monitor Your Logs in Real Time training?

The Training ELK Stack - Monitor Your Logs in Real Time training takes place over 4 journées. The program is structured in progressive modules for optimal skill development.

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 - Monitor Your Logs in Real Time training are: Linux proficiency, Elasticsearch basics, JSON fundamentals, and data pipeline concepts.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training ELK Stack - Monitor Your Logs in Real Time training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training ELK Stack - Monitor Your Logs in Real Time | 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.

Configure your training

Response within 24hNo commitment100% free

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training ELK Stack - Monitor Your Logs in Real Time 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 - Monitor Your Logs in Real Time 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 - Monitor Your Logs in Real Time 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 a scalable and resilient Elasticsearch cluster

Process and enrich logs via Logstash

Create interactive dashboards with Kibana

Integrate Beats for automated metrics collection

Optimize performance and security of the ELK Stack

Deploy in production with Docker and Kubernetes

Analyze real incidents for quick resolution

Training program

Module 1Elasticsearch: advanced indexing and search (clustering tools, sharding)

Dive into Elasticsearch by installing a multi-node cluster, create optimized indexes, test complex queries with Query DSL in practical exercises on real log datasets, configure sharding and replication for high availability, create your first custom mappings, while measuring performance to scale effortlessly.

Module 2Logstash: log processing pipelines (filters, codecs, outputs)

Master Logstash by building complete pipelines, ingest varied logs from multiple sources, apply Grok and mutate filters to enrich data, manage errors with dead letter queues in concrete hands-on labs on Apache and Syslog streams, integrate secure Elasticsearch outputs, export production-ready configurations.

Module 3Kibana: visualization and alerts (dashboards, TSVB, ML)

Discover Kibana by creating dynamic dashboards, explore your data via Discover and Visualize, set up Watcher alerts on anomalies, implement Machine Learning to detect suspicious patterns in real incident cases, customize Lens and Maps, produce automated PDF reports, making analysis addictive and immediate.

Module 4ELK Integration: Beats, security, deployment (Filebeat, Metricbeat, X-Pack)

Finalize your ELK stack by deploying Beats to collect containerized metrics and logs, secure with X-Pack and TLS certificates, orchestrate via Docker Compose and Helm on Kubernetes in a capstone project, optimize queries for sub-second performance, test resilience in failure simulations, leave with a fully functional and documented deployment.