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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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30 free minutes with a training advisor — no commitment.
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No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover top hospitality management training options for hotel professionals targeting April 2026. Explore trends, key skills, and programs to boost careers in a recovering industry.
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Cloud Load Balancing 2026 - Scaling High Availability Architectures 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 Cloud Load Balancing 2026 - Scaling High Availability Architectures 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 Cloud Load Balancing 2026 - Scaling High Availability Architectures 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 2026 evolutions of HTTP3 and QUIC protocols for Cloud Load Balancing, configure ALB/NLB on AWS and premium load balancers on GCP via consoles and CLI, perform advanced health checks with custom probes, migrate a legacy architecture to scalable setups, produce a flow diagram and initial performance report on a real enterprise case.
Design multi-region topologies with Azure Load Balancer and Cloudflare integration for minimal latency, implement geolocation- and content-based routing via 2026 WAF, simulate peak traffic with tools like Locust, optimize data paths for 99.999% uptime, generate reproducible Terraform configurations, and analyze metrics via custom dashboards.
Strengthen Cloud Load Balancing with TLS 1.4 and automated ACM certificates, deploy advanced WAF rules against DDoS and injections via AWS Shield Advanced, integrate zero-trust into Kubernetes Ingress NGINX/Envoy, test simulated attacks with OWASP ZAP, produce secure policies and GDPR compliance audits, apply to ongoing project for enterprise protection.
Master intelligent auto-scaling with predictive AI on GCP and Karpenter EKS, configure custom CPU/RAM/latency metrics for horizontal scaling, integrate Prometheus/Grafana observability for real-time tuning, reduce costs by 40% via spot reservations, experiment overload scenarios on real clusters, deliver optimization playbook and load forecasts.
Deploy to production via GitOps with ArgoCD and 2026 Terraform modules, monitor with CloudWatch/X-Ray and ML-based alerting, analyze Fortune 500 case studies on Black Friday peaks, resolve simulated incidents in real-time, finalize ongoing project with global HA, obtain skills certification and post-training roadmap for enterprise.
Target audience
Cloud architects, DevOps engineers, infrastructure managers seeking certification-level skill enhancement
Prerequisites
Advanced mastery of cloud providers (AWS, GCP, Azure), Kubernetes, network protocols TCP/UDP/HTTP3
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