Pinned Repositories
Applied_Data_Science_with_Python
chile-economic-indexes-cli
An interactive CLI tool developed in Go, designed to interact with the BCCh (Banco Central de Chile) API. The executable allows users to run the tool on any machine. Continuous Integration (CI) is managed via GitHub Actions. The method for fetching API data with this tool is reused in https://github.com/iferdel/chile-economic-indexes-viz.
chile-economic-indexes-infra
This repo manages the infrastructure for the platform specified in https://github.com/iferdel/chile-economic-indexes-viz. It leverages DevOps tools such as Terraform for IaC, Ansible for configuration management, and Docker Swarm for container orchestration. All intended to be hosted in Azure. It ensures robust, scalable, and repeatable deployments
chile-economic-indexes-viz
An intuitive visualization platform for Chilean economic indexes, developed using Go for both ETL processes (managed by gRPC + rabbitMQ) and web development (along with JS and HTMX). For CI/CD, tools such as Jenkins and Docker Swarm are in use. The infraestructure setup is specified in https://github.com/iferdel/chile-economic-indexes-infra
Chile_Agrarian_distribution_of_food_classes_Nuble
Chile_economic_indicators
hypermedia-systems-bookproject
Web Application project from hypermedia systems book (introducing HTMX) in django instead of flask.
kickstart.nvim
A launch point for your personal nvim configuration
sensor-data-streaming-firmware
Embedded firmware for remote sensor measurement and data streaming using STM32 microcontrollers. Features include I2C/SPC sensor connections, battery power management, GPS, GSM/WiFi communication, time synchronization (NTP/PTP), VPN support, and MQTT pub/sub architecture.
sensor-data-streaming-server
Server infrastructure to consume and store sensor data using Go/RabbitMQ, Ansible, Terraform, Kubernetes. Features include VPN setup, CI/CD with GitHub Actions, and data streaming with MQTT pub/sub architecture.
iferdel's Repositories
iferdel/Applied_Data_Science_with_Python
iferdel/chile-economic-indexes-cli
An interactive CLI tool developed in Go, designed to interact with the BCCh (Banco Central de Chile) API. The executable allows users to run the tool on any machine. Continuous Integration (CI) is managed via GitHub Actions. The method for fetching API data with this tool is reused in https://github.com/iferdel/chile-economic-indexes-viz.
iferdel/chile-economic-indexes-viz
An intuitive visualization platform for Chilean economic indexes, developed using Go for both ETL processes (managed by gRPC + rabbitMQ) and web development (along with JS and HTMX). For CI/CD, tools such as Jenkins and Docker Swarm are in use. The infraestructure setup is specified in https://github.com/iferdel/chile-economic-indexes-infra
iferdel/chile-economic-indexes-infra
This repo manages the infrastructure for the platform specified in https://github.com/iferdel/chile-economic-indexes-viz. It leverages DevOps tools such as Terraform for IaC, Ansible for configuration management, and Docker Swarm for container orchestration. All intended to be hosted in Azure. It ensures robust, scalable, and repeatable deployments
iferdel/Chile_Agrarian_distribution_of_food_classes_Nuble
iferdel/Chile_economic_indicators
iferdel/hypermedia-systems-bookproject
Web Application project from hypermedia systems book (introducing HTMX) in django instead of flask.
iferdel/kickstart.nvim
A launch point for your personal nvim configuration
iferdel/sensor-data-streaming-firmware
Embedded firmware for remote sensor measurement and data streaming using STM32 microcontrollers. Features include I2C/SPC sensor connections, battery power management, GPS, GSM/WiFi communication, time synchronization (NTP/PTP), VPN support, and MQTT pub/sub architecture.
iferdel/sensor-data-streaming-server
Server infrastructure to consume and store sensor data using Go/RabbitMQ, Ansible, Terraform, Kubernetes. Features include VPN setup, CI/CD with GitHub Actions, and data streaming with MQTT pub/sub architecture.
iferdel/VideoConverter_with_FFmpeg_and_Python