How Booking.com Serves Deep Learning Model Predictions
Discover Booking.com's approach to deploying deep learning models in production, covering training, automated retraining, deployment, and optimization for latency and throughput.
Cloud Native Python in Kubernetes
Explore cloud-native Python in Kubernetes: containerization, scaling, logging, health checks, and monitoring. Learn to optimize applications for dynamic cloud environments and improve operational efficiency.
Pythonist View on Microservices & Containerization
Explore microservices and containerization in Python, covering implementation, advantages, Docker usage, CI/CD approaches, and trade-offs for loosely coupled system design and deployment.
Python, Docker, Kubernetes, and Beyond
Journey through deploying Python applications: from standalone to Docker containers, and finally to Kubernetes. Learn about CI implementation, image storage, and efficient deployment using YAML and templating.
From Zero to Azure with Python, Docker Containers, and Visual Studio Code
Aprenda a criar e implantar aplicativos web Python no Azure usando Docker e Visual Studio Code. Explore notebooks Jupyter hospedados e armazenamento de dados com CosmosDB. Ideal para iniciantes em nuvem e contêineres.
Microservices and Serverless in Python Projects
Explore microservices and serverless architecture in Python, focusing on AWS Lambda. Learn advantages, use cases, and practical implementation using frameworks like Chalice and Zappa.
System Testing with Pytest, Docker, and Flask
Learn to combine Pytest fixtures with Docker for high-level integration testing of microservices, and embed mock web services using Flask to control and verify system component interactions.
Securely Executing Python Machine Learning Models with Distroless Images at ING
Explore secure execution of Python ML models using distroless images at ING. Learn about security risks, minimal Docker images, and practical implementation in a banking environment.
Building Industry 4.0 Logistics Applications with MicroPython and ESP32 MCUs
Explore how MicroPython and ESP32 MCUs can create innovative Industry 4.0 logistics solutions, focusing on a forklift hailing application. Learn about prototyping, deployment, and live demonstration.
Building Data Workflows with Luigi and Kubernetes
Learn to build complex data pipelines using Luigi, package them as Docker images, and deploy on Kubernetes for scalable Big Data workflows with on-demand scaling and cost reduction.
How We Run GraphQL APIs in Production on Our Kubernetes Cluster
Explore deploying and operating GraphQL APIs on Kubernetes, covering workflow, tools, and lessons learned from transitioning from REST APIs to containerized GraphQL services.
Optimizing Docker Builds for Python Applications
Discover techniques to optimize Docker builds for Python apps, focusing on speeding up the process and reducing image size for both development and production environments.
Extending Python with Rust
Explore integrating Rust with Python for enhanced performance. Learn about libraries, demos, benchmarks, Docker setup, and CI/CD for mixed Rust/Python projects.
Train, Serve, Deploy - Story of a NLP Model ft. PyTorch, Docker, Uwsgi and Nginx
Learn to build, train, and deploy NLP translation models using PyTorch, Flask, Docker, uWSGI, and Nginx. Covers data preprocessing, model training, web app creation, containerization, and production serving techniques.
Painless Machine Learning in Production
Discover strategies for efficient machine learning deployment, covering infrastructure, tooling, and best practices for managing the ML lifecycle in production environments.
Docker and Python - Making Them Play Nicely and Securely for Data Science and ML
Learn Docker best practices for data-intensive Python applications, covering image optimization, security, automation, and efficient deployment workflows in Data Science and Machine Learning contexts.
Can We Deploy Yet?
Prepare your Python project for production deployment with essential checklist, Docker image optimization, environment differences, and real-world strategies for handling exceptions, logs, and metrics.
Sharing Reproducible Python Environments with Binder
Learn to share reproducible Python environments using Binder, integrating Jupyter Notebooks and Docker for easy packaging and cloud-based sharing of data science projects without complex setup.
My Journey Using Docker as a Development Tool
Explore Docker for Python development, from basic images to advanced techniques. Learn to dockerize a FastAPI service, manage dependencies, run tests, and optimize for production environments.
SQL Server Containers on Docker and Kubernetes
Explore SQL Server deployment options using Docker containers and Kubernetes, covering key considerations and best practices for containerized database environments.
My Romantic Relation with Powershell Generally - and with dbatools Especially
Discover the power of PowerShell and dbatools for efficient database management. Learn practical scenarios like automatic restore testing, log shipping, migrations, and upgrades to enhance your DBA skills.