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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 Datadog APM Training - Mastering Expert 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 Datadog APM Training - Mastering Expert 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 Datadog APM Training - Mastering Expert 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.
Dive into the advanced installation of the Datadog APM agent, configure automatic instrumentation for Java, Node.js, and Python, explore custom spans and contextual tags through practical exercises on a simulated Kubernetes cluster, build your first distributed traces dashboards, analyze real flows to identify hidden latencies, and generate initial production-ready reports, while integrating concrete cases from Fortune 500 companies.
Deepen the analysis of waterfalls and flame graphs to break down slow requests, implement intelligent watchdogs for anomaly detection, configure SLOs and SLIs aligned with business objectives through interactive workshops, test failure scenarios in live coding, integrate logs-traces-metrics correlations, and deploy proactive alerts reducing MTTR by 50%, with feedback from real incidents resolved by Datadog APM.
Master native integrations with AWS, GCP, and Azure for multi-cloud observability, optimize APM costs via intelligent sampling and retention policies, develop custom scripts for automation via Terraform and Datadog API, simulate load spikes to validate autoscaling, review SRE best practices from critical productions, and finalize a capstone project deliverable: a complete APM stack deployed and monitored, certified for your enterprise.
Target audience
Expert SRE Engineers, Senior DevOps professionals, Cloud Architects, and IT Observability Managers seeking professional skill advancement in Datadog APM to optimize production performance.
Prerequisites
Advanced mastery of Datadog (infrastructure and logs levels), experience in distributed tracing (Jaeger or Zipkin), in-depth knowledge of microservices, Kubernetes, and full-stack observability.
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