Projects
CI/CD Architecture for Data Analysis
AWS Architecture with CI/CD fast development for Data Analysis.
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Kubernetes cloud creation on AWS with Terraform
This project is for creating scripts using terraform to create environments for running the cloud kubernetes. Without Terraform, scaling up infrastructure to meet increased demand may require an operator to remotely connect to each machine and then manually provision and configure many servers by executing a series of commands/scripts. The objective was end to this and use Terraform create elastic Kubernetes clusters on AWS.
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Configuration of Proxy Oauth2 Authentication for some Kubernetes pod Services
This project was conceived to create a proxy service for OAuth2 authentication with Azure AD for some services that did not have an authentication configuration yet.
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Pipeline scheduler with automatic configurations
This project was carried out together with Techne to automate the process of configuring applications hosted on AWS using the Ansible tool and to control Jenkins pipelines.
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Pipeline Scheduler and Repository Mirroring
This project was produced to Lenovo Chatbot Development Team and the main objective was to make a mirror from the master branch from the Gitlab on LSBD to the master branch on Gitlab Lenovo. We produce a Scheduler pipeline on the GitlabCI that mirror the master branch to Lenovo on a specific time.
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GitlabCI Pipelines Lenovo Diagnostic
This project was produced with the main objective to make a migration and configuration of pipelines from LSBD to Lenovo infrastructure. We had a pipeline project based on Jenkins pipelines alocated on LSBD, and we had to migrate this to Lenovo GitlabCI pipelines. Below have diagrams with the new GitFlow Development Culture implemented and the GitlabCI pipelines configured.
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Configuration and Build Strategy for LSBD Dev Team
A new build infrastructure was implemented for the LSBD development team. The team was without an automation methodology for the process of building the company's web solution. Based on that, the build automation process was defined using GitlabCI Pipelines. In short, a YAML file was written that automatically builds the code through pre-configured runners in Gitlab.
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Build Strategy for Lenovo Diagnosis Team
An environment was set up to build a hardware test application. The system was developed using Jenkins to manage the pipelines and Gitlab as a code repository. The Scripted Pipelines strategy was chosen, through a YAML file. This file defined the stages of Clone, Build, FTP Upload, Post Build Slack Notification. The system used windows machines as slaves configured in Jenkins to build the code. We can see a architecture image from developed project below.
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SDVNSim
This was the main project for my master degree. It contains modules that enable the developer to create a vehicular network with support for the OpenFlow communication protocol between the data and control plans. Our framework was developed within the OMNeT++ for simulations and programming environment. The SDVNSim was based on the INET network module, and we used the SUMO mobility simulator and the vehicle network simulator Veins.
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