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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 RDS - Optimizing AWS Databases in Production 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 RDS - Optimizing AWS Databases in Production 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 RDS - Optimizing AWS Databases in Production training is carried out through:
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.
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 configuring Multi-AZ RDS instances for zero downtime, deploy read replicas via AWS Console and CLI, migrate to Aurora for 5x performance gains, perform practical exercises on an AWS sandbox account, test automated failover live, produce a scalable architecture diagram using Mermaid diagrams, apply real-world enterprise e-commerce high-traffic use cases.
Optimize slow SQL queries using EXPLAIN ANALYZE and smart indexes, configure custom Parameter Groups for MySQL/PostgreSQL, integrate CloudWatch alarms and Performance Insights for proactive alerts, conduct load testing with pgbench, analyze CPU/IOPS bottlenecks in real time, develop Lambda scripts for auto-scaling, generate performance reports with Grafana dashboards tailored to production workloads.
Secure access with fine-grained IAM roles and KMS encryption at-rest/in-transit, implement audit logs to CloudTrail/S3, automate PITR backups and cross-region snapshots, deploy infrastructure as code with Terraform for RDS clusters, integrate CI/CD pipelines with GitHub Actions for zero-downtime updates, resolve real incidents through troubleshooting sessions, deliver the red-thread project: a secure, monitored global RDS cluster.
Target audience
DevOps Engineers, Cloud Architects, Senior DBAs seeking to advance their Amazon RDS skills in an enterprise setting
Prerequisites
Advanced AWS experience (VPC, EC2, IAM), PostgreSQL/MySQL administration, Bash/Python scripting
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