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 MongoDB Expert - Optimize Scalability and Performance training are: 2 years of experience in MongoDB, proficiency in JavaScript/Node.js, basics in Linux/Unix administration and advanced CRUD queries.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training MongoDB Expert - Optimize Scalability and Performance training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training MongoDB Expert - Optimize Scalability… | 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 MongoDB Expert - Optimize Scalability and Performance 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 MongoDB Expert - Optimize Scalability and Performance 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 MongoDB Expert - Optimize Scalability and Performance 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

Configure high-availability sharded clusters

Optimize performance through advanced indexing

Master complex aggregation pipelines

Implement replication and failover mechanisms

Manage distributed multi-document transactions

Secure deployments with encryption and RBAC

Integrate MongoDB with Big Data ecosystems

Training program

Module 1Advanced Architecture: Sharding and Replication (mongos, config servers, Replica Sets)

Configure complete sharded clusters with mongos and config servers, implement primary-secondary Replica Sets, test failover on real failure scenarios, balance shards manually and automatically, analyze logs via Compass and Ops Manager, produce scalable production-ready architecture diagrams.

Module 2Performance Tuning: Indexing and Query Optimization (explain(), covered queries)

Analyze execution plans with explain(), create composite and TTL indexes, optimize slow queries on massive datasets, implement caching and profiling, measure gains via MongoDB benchmarks, resolve bottlenecks with Atlas Performance Advisor, generate optimization reports for +300% throughput.

Module 3Aggregation and Transactions: Advanced Pipelines, Multi-Document ACID (change streams)

Build $facet and $graphLookup aggregation pipelines on terabytes of data, manage distributed ACID transactions, integrate change streams for real-time CDC, test on complex e-commerce cases, debug with aggregation explain, produce custom materialized views for instant analytics.

Module 4Security, Monitoring, and Integrations: RBAC, Encryption, Kafka/Spark (Ops Manager)

Deploy granular RBAC and X.509, enable at-rest/in-transit encryption, monitor with Ops Manager and Prometheus, integrate Kafka for streaming and Spark for processing, simulate attacks and audits, generate custom dashboards, secure hybrid cloud/on-prem clusters for GDPR compliance.