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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 Java - Mastering Distributed 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 Java - Mastering Distributed 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 Java - Mastering Distributed 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.
Dive into the quick installation of the OpenTelemetry Java agent on your existing Spring Boot applications, configure W3C propagators for perfect compatibility with cloud ecosystems, manually instrument custom spans on critical endpoints with practical exercises on a real e-commerce microservice, generate your first traces exported to an OTLP collector, analyze visualizations in Jaeger to identify bottlenecks, and produce a deliverable performance report at the end of the day, immediately transforming your skills into concrete professional value.
Deepen distributed tracing on Kubernetes clusters with auto-instrumentation via Helm operators, implement custom metrics for CPU, memory, and business latency via MeterProvider, integrate structured logs enriched with traces for perfect correlation, deploy complete pipelines to Prometheus and Grafana with exercises on a multi-service production-simulated deployment, optimize adaptive sampling to reduce costs without loss of visibility, test resilience against simulated faults, and finalize an expert observability dashboard ready to integrate into your company, boosting your certifiable and operational expertise.
Target audience
Senior Java developers, SRE and DevOps engineers, microservices architects upskilling in observability
Prerequisites
Advanced expertise in Java 17+, Spring Boot 3, microservices, knowledge of tracing with Jaeger or Zipkin
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