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The Training Amazon Aurora: Mastering the High Availability and Performance Cloud Database 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 Amazon Aurora: Mastering the High Availability and Performance Cloud Database 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 Amazon Aurora: Mastering the High Availability and Performance Cloud Database 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.
Presentation of Amazon Aurora within the AWS offering; comparison with MySQL, PostgreSQL, and classic RDS; key concepts (engine, serverless, multi-AZ); overview of Aurora architecture: distributed storage, security, replications. Hands-on creation of a MySQL/PostgreSQL Aurora cluster.
Management of instances (read, write, replicas); advanced parameter settings, user and permission management with AWS IAM; VPC integration, data encryption at rest and in transit; multi-region deployment, backup automation, restoration strategies; practical exercises on access control, failover, and disaster recovery.
Performance monitoring and analysis via Amazon CloudWatch; detection and resolution of bottlenecks; query tuning, storage optimization, cost management, best practices for maintenance and upgrades; migration of an existing database to Amazon Aurora using AWS DMS (Database Migration Service); real-world experiences, concrete cases, operational advice.
Target audience
Database administrators, system engineers, cloud architects, developers with initial experience on AWS or relational databases
Prerequisites
Basic knowledge of relational databases and the AWS environment
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