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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.
10 spots per session maximum — 10 already taken
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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Without mastery of Azure Load Balancer, cloud environments suffer from uneven traffic distribution and unreliable failover, leading to cascading application failures.
IDC data reveals that 68% of Azure outages trace back to load balancing misconfigurations, with each incident costing businesses an average of $340,000 per hour in downtime revenue losses and recovery efforts.
Unaddressed skill gaps expose companies to scalability bottlenecks during peak demands, regulatory non-compliance fines exceeding $100,000, and reputational damage that erodes market share.
IT leaders without this expertise face stalled careers, as 45% of cloud architect roles now require proven high availability proficiency—delaying upskilling only compounds these multimillion-dollar risks.
The Training: Mastering Azure Load Balancer - Load Balancing and High Availability in Cloud Environments 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: Mastering Azure Load Balancer - Load Balancing and High Availability in Cloud Environments 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: Mastering Azure Load Balancer - Load Balancing and High Availability in Cloud Environments 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.
Presentation of Azure Load Balancer, load balancing principles, usage scenarios (Internet-facing vs Internal), comparison with other Azure solutions. Study of typical architectures. Focus on security and access control (NSG, firewall). Practical exercises: Creating a first Public Load Balancer.
Deep dive into backend pools configuration, health probes, balancing rules and affinity. Implementing load balancing on VMs, VMSS and PaaS services. Failure detection and multi-zone setup for higher availability. Securing and monitoring. Workshop: Deploying an Internal Load Balancer with VMs across multiple subnets.
Performance optimization via fine-grained rule management, diagnostics with Azure Monitor and Log Analytics. Integration scenarios: linking with Application Gateway, Traffic Manager, and application scaling management. Case study: hybrid architecture, scaling automation, maintenance best practices. Final synthesis workshop: deploying a multi-tier infrastructure with Azure Load Balancer and full monitoring.
Target audience
System administrators, cloud engineers, IT architects wishing to implement load balancing solutions on Azure
Prerequisites
Basic knowledge of networks, general understanding of Microsoft Azure
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