Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Cloud Load Balancing - Ensuring Scalability and High Availability training are: Basic knowledge of TCP/IP networks and familiarity with cloud platforms such as AWS or GCP. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Cloud Load Balancing - Ensuring Scalability and High Availability training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Cloud Load Balancing - Ensuring Scalabi... | Learni

The story of Learni

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.

Configure your training

Response within 24hNo commitment100% free

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training Cloud Load Balancing - Ensuring Scalability and High Availability 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.

Teaching resources provided

To ensure the quality of the Training Cloud Load Balancing - Ensuring Scalability and High Availability training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Cloud Load Balancing - Ensuring Scalability and High Availability training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Master the fundamentals of Cloud Load Balancing for professional applications

Configure cloud load balancers in real-world environments

Develop certifying skills in scalability and high availability

Implement load balancing strategies tailored to business needs

Optimize cloud architecture performance with load balancing

Deploy secure and resilient Cloud Load Balancing solutions

Training program

Module 1Cloud Load Balancing Fundamentals: Balancing Principles and Topologies (round-robin, least connections algorithms)

Discover the essential concepts of Cloud Load Balancing through clear explanations and interactive diagrams, set up a simulation environment on AWS or GCP to visualize traffic flows, practice load analysis with tools like AWS Load Balancer Console, perform your first balancing tests on virtual servers, produce a report on topologies suited to your professional context, gain confidence to scale your applications from day one.

Module 2Cloud Load Balancing Configuration: Setup on AWS ELB and GCP (listener rules, health checks)

Dive into the practical configuration of AWS Elastic Load Balancing and Google Cloud Load Balancer, create target groups with auto-scaling, define health checks to monitor instance health, test HTTP/HTTPS routing on simulated web applications, integrate SSL certificates to secure traffic, generate performance metrics via CloudWatch or Stackdriver, leave with a functional infrastructure ready for production and directly applicable skills for your organization.

Module 3Cloud Load Balancing Integration: Connection to Azure LB and Hybrid Architectures (API Gateway, containers)

Learn to integrate Azure Load Balancer in hybrid setups, combine it with Kubernetes to balance Docker pods, configure forwarding rules for microservices, simulate traffic spikes with stress testing tools like Apache JMeter, analyze logs to optimize response times, deploy a resilient full-stack application, document your architecture with Draw.io diagrams, turn your ideas into scalable and performant cloud solutions to boost your professional projects.

Module 4Security and Monitoring for Cloud Load Balancing: WAF, Advanced Logs (Cloud Armor, AWS Shield)

Strengthen the security of your load balancers with Web Application Firewall using GCP Cloud Armor and AWS WAF, implement anti-DDoS policies, set up real-time alerts via Prometheus and Grafana, practice log analysis to detect anomalies, test resilience against simulated attacks, optimize configurations to minimize latency, produce a personalized monitoring dashboard, master best practices to protect your cloud applications and avoid costly disruptions.

Module 5Deployment and Optimization of Cloud Load Balancing: Real Business Cases (CI/CD, multi-region)

Conclude with an ongoing project based on a realistic business scenario, deploy a multi-region load balancer for global high availability, integrate with CI/CD pipelines using GitHub Actions, measure performance and scalability gains, conduct a collaborative code review and optimization, prepare a production rollout plan with rollback, receive personalized feedback from the expert trainer, leave certified with a concrete portfolio demonstrating your new Cloud Load Balancing skills to accelerate your career.