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 Apollo Router - Orchestrating Scalable Federated GraphQL training are: Advanced expertise in GraphQL, Apollo Federation, and basic Rust. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Apollo Router - Orchestrating Scalable Federated GraphQL training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Apollo Router - Orchestrating Scalable ... | 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.

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Methods, approaches, and teaching resources

The Training Apollo Router - Orchestrating Scalable Federated GraphQL 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 Apollo Router - Orchestrating Scalable Federated GraphQL 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 Apollo Router - Orchestrating Scalable Federated GraphQL 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 Apollo Router for professional federated GraphQL architectures

Develop scalable and performant supergraphs in enterprise settings

Configure advanced routing and caching to optimize queries

Implement security and monitoring in certified environments

Deploy Apollo Router in production with CI/CD and observability

Optimize GraphQL performance for expert-level skills

Design federated flows tailored to complex business needs

Training program

Module 1Apollo Router Fundamentals: Installation and Initial Supergraphs (CLI, YAML config, federation)

Quick installation of Apollo Router via Cargo and Docker, creation of a first supergraph from existing subgraphs, exploration of the router CLI to validate federation, practical exercises on GraphQL schema composition, generation of optimized YAML configurations, initial cross-subgraph query tests with an enterprise flagship project, immediate feedback to consolidate professional skills.

Module 2Apollo Router Configuration: Advanced Routing and Persistence (persisters, plugins, headers)

Deep dive into supergraph.yaml files for routing complex queries and mutations, implementation of Redis and PostgreSQL persisters for state persistence, addition of custom Rust plugins for specific business needs, real enterprise cases with dynamic headers and user context, exercises on federated resolver orchestration, initial performance optimization, delivery of a deployable router config for staging.

Module 3Apollo Router Optimization: Caching and Batching (Apollo Cache, query planning)

Mastery of the native query planner to minimize subgraph calls, advanced configuration of distributed caching with external persisters, automatic batching techniques to reduce latency, practical workshops on large enterprise datasets, trace analysis with Apollo Studio to identify bottlenecks, implementation of entity-based cache strategies, production of a quantified optimization report on the flagship project, directly highlighting scalability gains.

Module 4Apollo Router Security: Authentication and Monitoring (JWT, tracing, metrics)

Integration of middleware for JWT and OAuth2 at the router level, hardening against GraphQL injection and DoS attacks, setup of Apollo Observability for distributed traces and Prometheus metrics, exercises on critical enterprise scenarios with rate limiting, configuration of structured logs and alerts, simulation of security incidents on the supergraph, development of a certified monitoring plan, enhancing expert skill resilience.

Module 5Apollo Router Deployment: Production and CI/CD (Kubernetes, Helm, scaling)

Deployment on Kubernetes with official Apollo Helm charts, CI/CD automation via GitHub Actions and ArgoCD, horizontal scaling with auto-scaling and health checks, final optimization of configs for multi-region cloud environments, workshops on migrating a GraphQL monolith to federated, code review of the flagship project by the expert trainer, delivery of production-ready assets, preparation for enterprise skill certification.