Skynet Your Infrastructure with QUADS
Explore automated infrastructure management with QUADS, a Python-based tool for scheduling and provisioning large-scale systems and networks, enhancing DevOps efficiency and documentation.
Django - From a Nightmare to a Dream with Best Practices
Discover best practices for refactoring legacy Django code, improving maintainability, and implementing tools for safer deployments and continuous integration.
Infrastructure as Python Code - Run Your Services on Microsoft Azure
Explore Azure cloud deployment options for Python services using Infrastructure-as-Code principles, including Azure Resource Manager Templates, Azure SDK, and Ansible Module, with insights on avoiding pitfalls.
You Need More Security in Your Application Packaging
Explore secure application packaging methods, focusing on Python, to balance ease of installation with robust security measures for different environments and audiences.
There Should Be One Obvious Way to Bring Python into Production
Explore DevOps methodologies for deploying Python applications, covering packaging, deployment, environments, and runtime options. Learn about tools and frameworks to streamline the production process.
Infrastructure Design Patterns with Python, Buildbot, and Linux Containers
Explore infrastructure design patterns using Python, Buildbot, and Linux Containers for enterprise solutions beyond CI, including license management and application deployment.
Sustainable Scientific Software Development
Explore techniques and tools for building sustainable scientific code, including testing, continuous integration, and documentation, to ensure accurate and reproducible computational research results.
Dockerized Pytests
Explore containerizing pytest environments to replicate Jenkins setups locally, addressing challenges in custom plugins and dependencies for improved debugging and team collaboration.
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.
Reno - A New Way to Manage Release Notes
Explore reno, a tool for managing release notes in multi-branch projects. Learn its design, usage, and impact on project and release processes.
Marge - A Bot for Better Git'ing
Discover Marge-bot, an innovative tool enhancing Git workflows by testing pull requests against target branches and offering additional conveniences for improved Continuous Integration practices.
Standardize Testing in Python
Discover tox: an open-source tool for standardizing Python testing, simplifying CI processes, and ensuring high-quality, maintainable packages across various environments.
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.
How to Write Deployment-Friendly Applications
Learn techniques for creating environment-agnostic Python applications that are easier to test, deploy, handle, and scale. Discover tools and best practices for structuring and configuring apps independent of their runtime environment.
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.
Automating Testing and Deployment with Github and Travis
Streamline open-source project maintenance by automating testing and deployment using Github and Travis. Learn to create an efficient release pipeline, reducing errors and simplifying the process.
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.