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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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The Training Log Aggregation - Supervising Infrastructures 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.
To ensure the quality of the Training Log Aggregation - Supervising Infrastructures in Real Time training, Learni provides the following 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.
The assessment of skills acquired during the Training Log Aggregation - Supervising Infrastructures in Real Time training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
In-depth analysis of log aggregation needs for complex infrastructures, hands-on with ELK Stack using Elasticsearch for massive indexing, configuration of Logstash and Beats for multi-source collection, practical exercises on Kubernetes log simulation, creation of a first enriched metadata processing pipeline, scalability tests with real enterprise data, production of a documented architecture diagram ready for deployment.
Hands-on deployment of Grafana Loki for lightweight and cost-optimized log aggregation, integration with Fluent Bit for efficient forwarding to Kafka, configuration of OpenTelemetry for correlated traces and logs, practical workshops on advanced JSON/XML log parsing, implementation of filtering rules and intelligent sampling, incident simulation to validate log-metrics correlation, generation of interactive Kibana/Loki dashboards with Lucene/PromQL queries, export of reusable configurations for your clusters.
Performance optimization of log aggregation with Elasticsearch sharding and Loki compression, implementation of proactive alerting via Grafana and ElastAlert on anomalous patterns, securing log flows with TLS and RBAC, exercises on GDPR-compliant retention and automated purging, real incident case studies resolved by log analysis, tuning for high-availability in multi-DC setups, completion of the capstone project with full audit and operational monitoring plan, delivery of ready-to-use scripts and Ansible playbooks.
Target audience
DevOps Engineers, SREs, System Administrators for professional skills development
Prerequisites
Advanced experience in Linux, Docker/Kubernetes, Bash/Python scripting, and basic observability
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