Francisco Camargo
Data Scientist & Machine Learning Engineer
View the Project on GitHub francisco-camargo/francisco-camargo
Learning & Reference Material
Advice
Cloud
Data Engineering
- Basic SQL
- Georgia Tech - CS6400 Database Design
- Data Versioning
- DVC (Data Version Control)
- Guild.ai
Docker
- Docker installation
- The Ultimate Docker Course by Mosh Hamedani
- docker-hello-world
- docker-fundamentals
- multi-container-application via
docker compose
- premade-db-with-docker
- toy-db-with-docker
- multi-container-database-app
- Docker exercises
Docker for Python
- Use Docker for dev work
- Use Docker to dev on local machine while hosting container on Cloud
- Python language-specific guide
- Docker for Python tutorial
- Optimizing Docker Images for Python Production Services
FastAPI
git
LaTeX
Linux
Markdown
MLOps
- Orchestration
-
Monitoring The LGTM stack (short for Loki, Grafana, Tempo, and Mimir) is primarily used for observability, monitoring, and logging in cloud-native environments. The job roles responsible for using the LGTM stack typically include:
- Site Reliability Engineer (SRE) – Uses LGTM for monitoring system performance, troubleshooting issues, and ensuring uptime.
- DevOps Engineer – Implements and maintains LGTM for observability in CI/CD pipelines and cloud infrastructure.
- Cloud/Infrastructure Engineer – Uses LGTM for managing cloud environments and infrastructure monitoring.
- Platform Engineer – Integrates LGTM into internal developer platforms for better operational insights.
- Security Engineer – Analyzes logs and traces for security incidents and anomaly detection.
- Software Engineer (especially Backend) – Uses LGTM to debug applications and optimize performance.
Would you be looking to implement LGTM for your company’s infrastructure, or just exploring it?