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 Fluentd - Collecting and Processing Unified Logs training are: Basic knowledge of Linux, JSON, and Docker containers. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Fluentd - Collecting and Processing Unified Logs training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Fluentd - Collecting and Processing Uni... | 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

9 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training Fluentd - Collecting and Processing Unified Logs 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 Fluentd - Collecting and Processing Unified Logs 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 Fluentd - Collecting and Processing Unified Logs 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

Master the fundamentals of Fluentd for professional log pipelines

Develop source and output configurations tailored to the enterprise

Implement filters and parsers to process logs in real-time

Design unified and scalable log flows with essential plugins

Deploy Fluentd in production with monitoring and high availability

Optimize certified logging skills for cloud environments

Integrate Fluentd into modern enterprise observability stacks

Training program

Module 1Fluentd Fundamentals: Installation and Basic Architecture (Ruby, Docker, First Buffers)

Immersive discovery of Fluentd's key concepts, quick installation via Docker and Ruby Gems on Linux environments, creation of a first configured Fluentd agent to collect local logs, practical exercises on basic JSON parsing and routing to stdout, setup of buffers to handle traffic spikes, initial tests with simulated web application logs, production of a personal log flow diagram to validate professional skills.

Module 2Fluentd Sources and Outputs: Multi-Destination Ingestion and Export (syslog, HTTP, Elasticsearch)

In-depth configuration of source plugins such as in_tail for log files and in_http for APIs, routing to Elasticsearch and Kafka outputs with secure authentication, practical workshops on ingesting real Kubernetes logs, buffer optimization to prevent data loss, simulation of enterprise scenarios with high volumes, generation of Kibana dashboards to visualize flows, delivery of production-ready functional configurations.

Module 3Fluentd Filters and Parsing: Log Enrichment and Transformation (grep, record_transformer, multiline)

Mastery of essential filters to parse multiline logs such as Java logs, enrichment with metadata via record_transformer and geoip, exercises on grep to filter critical events, processing of heterogeneous logs from microservices applications, concrete enterprise cases with JSON/XML transformation, advanced debugging via fluent-cat and internal logs, creation of a complete pipeline tested on a Docker Compose cluster, export of reusable modular configurations.

Module 4Fluentd Deployment: Monitoring, Scalability, and Integrations (Prometheus, Kubernetes, High Availability)

Deployment in a Kubernetes cluster using Fluentd DaemonSet, configuration of monitoring via Prometheus and Grafana for buffer metrics, high availability with forwarding and retry policies, workshops on ELK Stack and Splunk integrations, simulation of incidents to test resilience, performance optimization for 1M logs/second, finalization of the capstone project with CI/CD deployment via Helm, delivery of a personalized Ansible playbook for rapid enterprise rollout.

Evaluation method

Multiple-choice quiz to validate knowledge acquired at the end of the training
Continuous evaluation through practical exercises on log pipelines
Presentation of the capstone Fluentd project to the expert trainer

Learning method

Training delivered by an active DevOps expert trainer
Practical exercises based on real enterprise logging cases
Progressive capstone project for a complete Fluentd pipeline
Complete course materials and example configurations provided to each participant