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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 Training Rate Limiting - Protecting APIs Against Massive Abuses 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 Rate Limiting - Protecting APIs Against Massive Abuses 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 Rate Limiting - Protecting APIs Against Massive Abuses 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.
In-depth analysis of API abuse attacks such as DDoS and excessive scraping, hands-on with monitoring tools like Prometheus and Grafana to visualize request spikes, practical exercises on real company logs, definition of thresholds adapted to your services, creation of a first rate limiting metrics dashboard, with concrete cases to anticipate professional risks and build a solid foundation for the training.
Deep dive into essential rate limiting algorithms with token bucket for controlled bursts and leaky bucket for steady flows, hands-on coding in Node.js with express-rate-limit and in Python via Flask-Limiter, testing on simulated enterprise APIs, optimization of parameters for maximum performance, resolution of overload scenarios, production of certified reusable code, transforming your skills into immediate assets for real projects.
Exploration of sliding and fixed windows for enhanced rate limiting precision, integration with Redis for distributed storage and scalability, exercises on multi-node clusters simulating enterprise environments, management of dynamic IPs and JWT tokens, comparative benchmarks to select the best approach, development of a custom module, with focus on resilience and maintenance, directly boosting the efficiency of your professional APIs.
Development of intelligent rate limiting via ML to detect anomalies in real-time, use of TensorFlow Lite and scikit-learn on API traffic data, practical workshops to model abusive behaviors, dynamic adjustment of limits based on observed patterns, case studies from leading companies, implementation of a predictive prototype, strengthening your DevSecOps skills to anticipate 2026 threats and securely protect your services long-term.
Production deployment with Kubernetes via Helm for distributed rate limiting, configuration on AWS API Gateway and Google Cloud, simulations of massive attacks to validate robustness, CI/CD optimization with GitHub Actions, advanced monitoring and Slack alerts, completion of a professional ongoing project, delivery of deployable assets, ensuring certified mastery ready for the enterprise and optimal protection against future abuses.
Target audience
Backend developers, DevOps engineers, IT security managers seeking to enhance API skills
Prerequisites
Proficiency in REST/GraphQL APIs, HTTP protocols, and languages such as Node.js, Python or Go
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