#mlops Development Tutorials & Tips | Roast Dev

100daysofcode 100daysofdevops 100pay 10mistakes 10yearworkanniversary 11 11labs 11tly 11ty 127001

LLM Benchmarking: Cost-Efficient Performance

Economic viability is one of the most important factors in the success of new products and applications. No less so for Nosana. We show that the consumer-grade flagship RTX 4090 can provide LLM infere...

09.04.2025 0 Read More

Mastering Python Project Management with uv: Part 3 — MLops

Tired of waiting for pip? UV cuts dependency hell from coffee-break to blink-speed. Here's how I use it for MLOps—and why you should too.🔗 Originally published on Medium. Shared here because dev....

10.04.2025 0 Read More

Mastering Python Project Management with uv: Part 4 — CI/CD & Docker

Originally published on MediumThe Terminus Edition — Modern CI/CD and Deployment Workflows for LLM-Powered Apps Context: LLM-Powered Apps Meet Modern Tooling In Part 3 of the series, we expl...

10.04.2025 0 Read More

Mastering Python Project Management with uv: Part 5 — advanced CI/CD Nox and uv.cli

Let's dive in advanced Python automation with nox, uv, and GitHub Actions — Part 5 of the Terminus SeriesBuilding on Part 4, where we introduced fast, modern MLOps pipelines using uv, Docker, and CI...

12.04.2025 0 Read More

FeatureLens: Real-time Go monitor for ML feature pipeline quality & drift detection.

Project Link FeatureLens FeatureLens is a lightweight, high-performance monitoring tool designed specifically for real-time Machine Learning feature pipelines. Built with Go, it focuses on det...

13.04.2025 0 Read More

Top 10 tools to build and deploy your next GenAI Application

Introduction: The New Era of AI Operations The AI landscape has evolved dramatically with the rise of large language models (LLMs), retrieval-augmented generation (RAG), and multimodal AI sys...

16.04.2025 0 Read More

MLOps for Green AI: Building Sustainable Machine Learning in the Cloud

The tech world is buzzing with two transformative trends — artificial intelligence (AI) and sustainability. As machine learning (ML) powers everything from predictive analytics to autonomous systems...

21.04.2025 0 Read More

Understanding the Key Differences Between MLOps and DevOps for Efficient Software and Model Management

In today’s tech-driven world, software development and machine learning (ML) have evolved into distinct but highly interdependent fields. While both DevOps and MLOps aim to streamline processes and ...

22.04.2025 0 Read More

📚 Day-3 Assignment: Create a Docker Image for Your Machine Learning Project 🚀

Step 1: 📂 Set Up Folder Structure & Download Dataset Create a proper folder structure for your project. Download the Iris Dataset from Kaggle and place it inside your project directory. Step 2:...

28.04.2025 0 Read More

From Beginner to Pro: Docker + Terraform for Scalable AI Agents

IntroductionAs AI and machine learning workloads grow more complex, developers and DevOps engineers are looking for reliable, reproducible, and scalable ways to deploy them. While tools like Docker an...

03.05.2025 0 Read More