Mohamed Ali Chakroun

• Participation in defining the overall technical architecture of the project

• Development with Java 17 and Spring Boot.

• Development of graphical interfaces with Angular

• Implementation of microservices architecture and hexagonal architecture (ports, adapters).

• Use of Spring Batch for batch processing.

• Configuration of Spring Cloud Gateway for API management and routing.

• Integration of Ribbon as a client-side load balancer.

• Fault tolerance management with Resilience4j.

• Configuration of a centralized logging solution with the ELK stack (Elasticsearch, Logstash, Kibana).

• Creation of an Elasticsearch search engine

• Synchronization of RDS database with Elasticsearch via Kafka Connector

• Use of GCP cloud services (Cloud Functions, Cloud SQL, Cloud Storage, Cloud Pub/Sub)

• Implementation of Spring Cloud Stream function for managing Apache Kafka and RabbitMq brokers

• Creation of unit and integration tests with TDD

• Creation of the Jenkins CI/CD pipeline to automate deployment directly into the Kubernetes cluster

• Assistance to team members and validation of merge requests. Backup of the tech lead

• Participation in defining the overall technical architecture of the project.

• Development of graphical interfaces with Angular

• Implementation of Spring Cache.

• Creation of REST APIs

• Implementation of scalable and performant solutions using EC2, S3, Cloud Front, ELB, RDS, and Cloud Watch to host and manage applications, while ensuring high availability and optimized cost management.

• Work with various AWS services (EC2, CloudWatch Alarm, CloudWatch Log, Lambda Function, S3...)

• Code review

• Creation of unit and integration tests with TDD method

• Integration of Debezium to synchronize the database with Apache Kafka. Coaching of newly recruited juniors

• Define the overall architecture of the platform, ensuring it is scalable and can handle multiple tenants (multi-tenant).

• Design microservices that integrate with Kafka to manage events and alarms from IoT devices.

• Create real-time processing and data management for IoT devices.

• Develop REST APIs to allow clients to interact with their devices and monitor their home via the dashboard.

• Configure Kafka Streams for processing data streams from IoT devices, ensuring messages are correctly published and consumed.

• Use Kafka topics to categorize different types of events and alarms sent by devices.

• Implement mechanisms to ensure message reliability and fault tolerance in the messaging system.

• Development of an SMS, Email, and Voice Message notification module