October 2024 - Present
Leading a team of 3 members in the complete migration of an application that optimizes quotation processes, automating price, VAT, and total calculations, enhancing the operational efficiency of the sales department.
- Planning and Analysis: Designed the migration plan ensuring the seamless integration of existing technologies.
- Google Cloud: Configured Cloud SQL with PostgreSQL 14 and integrated backend services using Spring Boot.
- Containers and Automation: Implemented Docker and Cloud Build to manage automated deployments.
- Frontend Deployment: Set up Continuous Delivery in Render for an application built with Angular and Ionic.
- Performance Testing: Conducted stress tests with JMeter, ensuring stability with 500 concurrent users.
- Documentation: Created a document explaining the step-by-step process for running pipelines, configuring Cloud SQL, and setting up artifacts in Cloud Run under the "instance" section. Also documented the jobs for starting and stopping the instance.
- Operational Time Reduction: Faster and more accurate quotation generation.
- Data Centralization: All information available in Cloud SQL for improved traceability.
- Invoice Automation: PDF invoices generated directly from the dashboard.
- Continuous Deployment: Seamless updates thanks to automated pipelines.
Angular, Ionic, Spring Boot, Docker, Google Cloud, Cloud SQL, JMeter
Before configuring the database in Cloud SQL and creating the container with its image, I dedicated a full week to orchestrating and planning the entire process. This approach ensured a smooth and efficient implementation.
During this preparation phase, I focused on understanding the core concepts of Google Cloud’s infrastructure:
- Pricing Models: Studied the pricing structures to optimize costs based on project requirements.
- IAM Roles Management: Configured and assigned secure roles to ensure proper access control for all resources.
- SDK Configuration: Set up the Google Cloud SDK for seamless use with Cloud Shell and to enable connections from local machines.
- Compute Engine: Analyzed Compute Engine functionalities to efficiently manage and configure virtual machine instances.
- Cloud SQL: Planned and configured scalable and high-performing databases in Cloud SQL.
- Key Tools: Identified and integrated essential tools to ensure successful project execution.
