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 - Optimize High-Performance Log Clusters training are: Intermediate ELK Stack mastery, advanced Linux, Bash/Python scripting, Docker/Kubernetes.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training ELK Stack - Optimize High-Performance Log Clusters training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training ELK Stack - Optimize High-Performance L... | 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 - Optimize High-Performance Log Clusters 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 - Optimize High-Performance Log Clusters 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 - Optimize High-Performance Log Clusters 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 objectives

Configure ultra-complex Logstash pipelines for massive ingestion

Optimize Elasticsearch for scalability and extreme performance

Develop advanced Kibana dashboards with ML and alerting

Implement security, high availability, and distributed clustering

Integrate ELK with Kubernetes, Kafka, and SIEM

Analyze logs in real-time for predictive anomaly detection

Produce production-ready deliverables and monitoring

Training program

Module 1Advanced Elasticsearch: indexing and sharding optimization (queries, mappings)

Dive into the core of Elasticsearch, configure shards/replicas to handle terabytes of logs, test complex DSL queries on real datasets, optimize performance via benchmarks, create customized mappings with analyzers, generate tuning reports, while simulating production loads to boost your cluster from day one.

Module 2Expert Logstash: conditional pipelines and enrichment (filters, outputs)

Master multi-conditional pipelines, integrate Beats and Kafka for heterogeneous ingestion, develop Grok/Regex filters on varied logs, enrich data with GeoIP/Lookup, test secure outputs to S3/Elastic, debug live with critical exercises, produce robust configs ready for hybrid environments.

Module 3Pro Kibana: ML visualizations and TSVB (dashboards, alerting)

Create dynamic dashboards with Lens/TSVB, implement ML jobs for log anomalies, configure advanced Watcher alerting, explore Canvas for auto PDF reports, integrate geospatial Maps, test on real DevOps cases, export interactive deliverables that transform insights into immediate actions.

Module 4Security and scaling: X-Pack, rolling upgrades, HA clusters

Secure with TLS/OIDC/SAML, deploy multi-node clusters with auto-scaling, simulate rolling upgrades without downtime, configure S3 snapshots/recovery, monitor with Elastic APM, manage fine-grained RBAC roles, apply to Kubernetes scenarios for resilient, GDPR-compliant clusters.

Module 5Integrations and final project: SIEM, Kafka, Kubernetes (production deliverables)

Integrate ELK with Kafka/Prometheus for full-stack observability, deploy on ECK Kubernetes, build custom SIEM with threat detection, finalize capstone project on massive real logs, optimize cloud costs, receive deployment-ready templates and playbooks, transform your skills into immediate value.