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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 PlanetScale - Deploying Scalable Serverless 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.
To ensure the quality of the Training PlanetScale - Deploying Scalable Serverless Databases 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 PlanetScale - Deploying Scalable Serverless Databases 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.
Immersive discovery of PlanetScale via the intuitive web console and powerful CLI, quick creation of your first free serverless cluster, connection with classic MySQL tools like MySQL Workbench or DBeaver, practical exercises on importing existing data, configuration of initial automatic scaling parameters, production of an initial testable schema live with immediate trainer feedback for assured professional upskilling.
Dive into data modeling optimized for PlanetScale, creation of development branches like with Git to test schemas risk-free, use of the interface to merge via secure pull requests, exercises on concrete business cases with refactoring of legacy databases, generation of ER diagrams and automatic validation of migrations, delivery of a branched database ready for team collaboration, enhancing your agile data management skills.
Exploration of underlying Vitess mechanisms for infinite horizontal scaling, seamless connection of PlanetScale to frameworks like Node.js, Python, or Laravel via official drivers, practical workshops on automatic sharding and global replication, query optimization for high performance without downtime, integration with CI/CD for continuous deployments, implementation of a red-thread project connected to a REST API, demonstrating robustness in an enterprise context.
Strengthening security with granular roles, encryption, and proxyless connections, setting up advanced monitoring via PlanetScale Insights to alert on anomalies, exercises on automated backups and point-in-time recovery, final optimization with boosters for ultra-fast queries, complete deployment of your database in simulated production, study of real business cases scaling to millions of users, conclusion with a personalized audit to boost your long-lasting professional skills.
Target audience
Backend developers, DevOps engineers, data architects wishing to upskill on serverless databases
Prerequisites
Basic knowledge of SQL and MySQL, application development fundamentals
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