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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 SQS - Orchestrating Scalable Microservices 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 SQS - Orchestrating Scalable Microservices 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 SQS - Orchestrating Scalable Microservices 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 expert configuration of standard and FIFO SQS queues via AWS Console and CLI, implement dead-letter queue policies to handle failures, test redrive policy on real enterprise cases, integrate AWS SDK in Python for producer-consumer patterns, perform practical exercises on scalable workloads, produce a first prototype of high-availability message queue with initial monitoring.
Design event-driven architectures by linking SQS to Lambda for asynchronous processing, configure SQS-Lambda triggers with optimized batching, explore fanout via SNS-SQS for massive distribution, adjust visibility timeout and message group ID for microservices scenarios, develop custom handlers in Node.js, simulate traffic spikes with AWS tools, generate architecture diagrams and a functional deliverable tested in real conditions.
Optimize SQS costs with long polling and advanced message deletion, secure queues via KMS for server-side encryption, define fine-grained IAM policies for cross-account access, monitor with CloudWatch metrics and custom alarms, analyze logs via X-Ray for expert debugging, deploy a complete red thread project in simulated production, validate skills through security audit and enterprise optimization plan.
Target audience
AWS Cloud Architects, DevOps developers, SRE engineers for skill advancement
Prerequisites
Advanced AWS expertise (Lambda, EC2, VPC), asynchronous programming (Python/Node.js), microservices
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