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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 Advanced Datadog Training - Master Professional Cloud Monitoring 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 Advanced Datadog Training - Master Professional Cloud Monitoring 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 Advanced Datadog Training - Master Professional Cloud Monitoring 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 creating dynamic dashboards with advanced formulas, explore real datasets to visualize critical metrics, perform practical exercises on multi-source correlations, produce production-ready exportable deliverables, and test interactive notebooks for immersive analysis that immediately boosts your ops.
Deploy custom alerts based on ML and anomalies, configure SLOs with dynamic thresholds, simulate real cloud incident scenarios to refine your rules, integrate PagerDuty and Slack via webhooks, generate automated reports, and validate your setups live to anticipate outages and drastically reduce MTTR.
Master Log Patterns and Service Maps queries, correlate traces with metrics in container environments, analyze massive logs via custom processors, practice on real microservices app cases, create reusable patterns, and optimize retention to scale without extra costs, turning your data into actionable insights.
Automate via DogAPI and Terraform providers, deploy agents in K8s clusters with Helm, code Python scripts for dashboards as code, integrate CI/CD pipelines, test hybrid on-prem/cloud deployments, produce complete playbooks, and secure IAM access for resilient, infinitely scalable monitoring infrastructure.
Target audience
DevOps Engineers, SREs, cloud administrators advancing in advanced monitoring skills.
Prerequisites
Mastery of Datadog basics, Linux/Unix, Python/Bash scripting, REST APIs.
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