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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 OpenTelemetry 2026 - Mastering Application 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.
To ensure the quality of the Training OpenTelemetry 2026 - Mastering Application Observability 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 OpenTelemetry 2026 - Mastering Application Observability 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.
Discovery of the key concepts of OpenTelemetry 2026, quick installation of SDKs for Python and Java on your machine, configuration of a first OTEL collector to export to the console, practical exercises in auto-instrumentation on a simple app, creation of manual spans to trace API calls, real-time testing with tools like Jaeger to visualize traces, and production of a basic observability report usable in enterprise from the end of the day.
Advanced instrumentation of a microservice with OpenTelemetry 2026 in Docker containers, implementation of custom metrics and structured logs enriched with trace contexts, configuration of OTLP pipelines to backends like Prometheus and Loki, simulations of distributed incidents for debugging practice, performance optimization via adaptive sampling, integration with Kubernetes for native observability, and completion of a full dashboard with alerts, ready for professional production deployment.
Target audience
Developers, DevOps engineers, and SREs seeking to upskill in professional observability
Prerequisites
Programming basics (Python, Java or Go), Docker basics, and REST APIs
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