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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 Amazon Aurora - Optimizing Scalable Databases 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.
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The assessment of skills acquired during the Training Amazon Aurora - Optimizing Scalable Databases 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.
Dive into advanced configuration of Aurora PostgreSQL/MySQL clusters, exploration of Aurora storage optimized for 2026, setting up read replicas with automatic failover, hands-on exercises on AWS Console and CLI to simulate enterprise scenarios, creation of your first scalable cluster with Terraform, cost analysis and sizing for critical workloads, deliverable: production-ready documented architecture.
Optimize performance with Aurora Performance Insights and CloudWatch, profiling slow queries on massive datasets, implementing query caching with Amazon ElastiCache, hands-on exercises to refactor complex SQL adapted to Aurora 2026, load testing with Apache JMeter, DB parameter tuning to reduce latency by 50%, production of performance reports and personalized optimization plan for your professional use case.
Strengthen security with TDE encryption via AWS KMS, fine-grained IAM configuration for Aurora, GDPR/HIPAA compliance audits, practice of global snapshots and point-in-time recovery, simulation of attacks and cluster hardening, integration with AWS Secrets Manager for rotating credentials, exercises on real enterprise cases, generation of backup policies and certified disaster recovery plan, ensuring zero exposure of sensitive data.
Master Aurora Serverless v2 for auto-scaling in 2026, zero-downtime migrations with AWS DMS from on-premise or RDS, integration with Lambda and API Gateway for serverless DB, hands-on horizontal scaling exercises on real microservices, CI/CD deployment with CodePipeline, advanced outage troubleshooting, finalization of the ongoing project with personalized monitoring dashboards, export of IaC configurations ready for your enterprise.
Target audience
Database administrators, DevOps engineers, and cloud architects seeking to upskill on Amazon Aurora in enterprise environments
Prerequisites
Advanced expertise in AWS RDS, SQL/NoSQL, and relational cluster administration
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