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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:
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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 basic principles of rate limiting through practical exercises on Node.js and Redis, implement a simple token bucket system to limit requests per IP, analyze real DDoS attacks with simulations, configure thresholds adapted to enterprise APIs, test performance under real conditions, produce a first functional prototype with integrated monitoring metrics, while integrating open-source tools for rapid and effective implementation.
Dive into advanced algorithms like leaky bucket and fixed window through hands-on workshops in Python Flask and Express.js, deploy dynamic limits based on user or API endpoint, integrate Redis and Memcached for counter persistence, simulate high-load scenarios with Apache Bench, optimize for Kubernetes microservices, generate automated abuse reports, and validate your implementations with unit and integration tests for guaranteed professional robustness.
Master real-time monitoring with Prometheus and Grafana applied to rate limiting, configure hybrid strategies for critical APIs, analyze abuse logs with ELK Stack, dynamically adjust thresholds via basic machine learning, integrate with gateways like Kong or NGINX, conduct a complete security audit, produce a personalized dashboard with Slack alerts, and finalize with a deliverable capstone project ready for enterprise deployment with certification of acquired skills.
Target audience
Backend developers, API architects, DevOps engineers seeking to advance their skills in secure scalability
Prerequisites
Proficiency in REST/GraphQL APIs, programming in Node.js or Python, basic knowledge of databases and web servers
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