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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 Azure Monitor Training - Optimizing Advanced 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 Azure Monitor Training - Optimizing Advanced 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 Azure Monitor Training - Optimizing Advanced 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 expert configuration of multi-tenant Log Analytics workspaces, integrate hybrid sources such as VM agents and AKS containers, explore data schemas for optimized collection, perform practical exercises on a simulated enterprise environment, produce your first log flow diagnostic with advanced basic KQL, and validate configurations through scalability tests to anticipate load peaks.
Master expert KQL operators for anomaly hunting, build queries with multi-table joins and integrated ML functions like anomaly detection, apply them to real troubleshooting cases for AKS and SQL databases, develop reusable scripts for predictive analysis, test on massive enterprise datasets, and generate automated reports exportable to Power BI for immediate business visibility.
Configure intelligent alert rules based on dynamic thresholds and ML baselines, integrate action groups with Teams/Slack and PowerShell runbooks for automatic remediation, simulate critical incidents on VMs and web apps, deploy Logic Apps playbooks to escalate alerts, measure effectiveness via reduced MTTR metrics, and produce a custom playbook ready for enterprise production.
Leverage Application Insights for end-to-end monitoring of critical apps with live metrics and smart detection, optimize costs via sampling and retention policies, design Grafana/Power BI dashboards connected to Azure Monitor, analyze dependencies with Dependency Maps, apply RBAC governance to workspaces, conduct a complete audit on an enterprise end-to-end project, and deploy a scalable solution with CI/CD export.
Target audience
DevOps Engineers, Azure Administrators, and SREs seeking to advance their monitoring expertise
Prerequisites
AZ-104 certification or equivalent, proficiency in PowerShell/Azure CLI, fundamentals in KQL and cloud infrastructure deployment
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