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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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Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
The Training Load Balancer 2026 - Ensuring High Availability for Cloud Apps 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 Load Balancer 2026 - Ensuring High Availability for Cloud Apps 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 Load Balancer 2026 - Ensuring High Availability for Cloud Apps 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.
Discover the HTTP/3, gRPC, and WebSocket protocols supported by Load Balancer 2026, configure listeners and target groups via the cloud console and CLI, perform practical exercises on multi-AZ topologies, test backend health with custom probes, produce a simple architecture diagram as a deliverable, integrate SSL/TLS certificates to secure flows from the first day.
Dive into Load Balancer 2026's advanced routing rules, implement host-based and path-based routing with priorities, use Terraform for infrastructure as code, simulate traffic scenarios with tools like Apache Bench, analyze CloudWatch logs for debugging, generate reusable deployment scripts, apply weights for blue-green deployment in real conditions.
Integrate Load Balancer 2026 with serverless services like Lambda and API Gateway, configure direct mappings to FaaS functions, test latency under load with Locust, explore sticky sessions for stateful apps, monitor via X-Ray to trace calls, deploy a full-stack prototype with ECS containers, document the APIs as a final deliverable for enterprise reuse.
Optimize Load Balancer 2026 with CDN and Edge computing via CloudFront and Global Accelerator, enable intelligent caching and multiple origins, simulate regional failures with Chaos Engineering, configure fixed responses for 5xx errors, analyze SLI/SLO metrics, implement WAF to block DDoS attacks, produce a quantified performance report as concrete output.
Master proactive monitoring of Load Balancer 2026 with CloudWatch Alarms and Insights, integrate Auto Scaling to handle traffic spikes, resolve case studies inspired by Black Friday at e-commerce leaders, deploy in simulated production with automated rollback, evaluate costs via Cost Explorer, finalize a migration plan from legacy versions, deliver a personal portfolio as certification of acquired skills.
Target audience
DevOps Engineers, cloud architects, system administrators, and IT project managers seeking to upskill in advanced cloud services
Prerequisites
Solid knowledge of TCP/IP and HTTP/HTTPS networking, practical experience with at least one cloud provider (AWS, GCP, or Azure), basics in Docker containers and Kubernetes orchestration
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