We Build a ML Pipeline After We Deploy
Discover essential strategies for building end-to-end machine learning pipelines, covering automation, engineering, debugging, and monitoring using Python libraries.
Build Serverless Python Applications Using AWS Chalice
Develop and deploy serverless Python applications on AWS using Chalice framework. Learn to create RESTful APIs, integrate AWS services, and leverage serverless architecture for efficient development.
From Research Project to PyPI Release
Learn to transform a research project into a publicly released Python package, covering testing, CI, documentation, and citation on Zenodo. Ideal for researchers seeking to increase impact and visibility of their work.
Speeding Up the Deep Learning Development Life Cycle for Cancer Diagnostics
Optimizing deep learning development for cancer diagnostics: strategies to accelerate iteration, from task prioritization to GPU parallelization, enhancing model robustness across diverse laboratory settings.
Code Coverage Through Unit Tests Running in Sub-Processes - Threads - Locally and Automated on GitHub
Learn to measure and improve code coverage for tests running in sub-processes/threads, locally and on GitHub. Explore techniques to enhance reliability and automate the process using CI tools.
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.
Common Python Mistakes with Kubernetes - How They Can Cause Vulnerabilities and How to Solve Them
Explore common Python vulnerabilities in Kubernetes deployments, their potential impacts, and effective mitigation strategies using tools like Falco, TUF, Open Policy Agent, and Bandit.
Forget Mono vs. Multi-Repo - Building Centralized Git Workflows with Python
Discover a Python-based solution for unified Git workflows, transcending the mono vs. multi-repo debate and significantly enhancing CI/CD efficiency across all services.
Packaging Security with Nix
Explore how Nix, a functional package manager, enhances dependency security, addressing vulnerabilities in PyPI/pip and preventing issues like rogue packages that steal personal data.
Python Packaging Automation - Auto-Publish to PyPI via Pull Requests
Streamline Python package releases with automated publishing to PyPI via pull requests, improving release frequency and empowering contributors to issue their own releases.
DevOps vs AGI
Explore the intersection of AI, ethics, and digital regulation, and learn how developers can contribute to solving global challenges like sustainability and peace.
Zero Downtime Deployments - Is It Worth the Effort?
Explore zero downtime deployment strategies, their pros and cons, and best practices for seamless production updates while maintaining user accessibility and system reliability.
Python Linters at Scale
Discover strategies for efficiently scaling Python linters across large codebases and teams, including automated updates, consistent configurations, and performance optimizations.
Optimizing Your CI Pipelines
Discover techniques to enhance CI pipelines: parallelization, caching, early failure detection, and conditional runs for faster, more efficient builds and improved development workflows.
Poisoned Pickles Make You Ill
Explore the risks of using pickle for ML model serialization and learn effective strategies to protect against potential attacks and vulnerabilities in data science pipelines.
The Challenges of Doing Infra-As-Code Without "The Cloud"
Explore challenges and solutions for implementing Infrastructure-as-Code in non-cloud environments, focusing on unique aspects and practical approaches.
Windows Azure Deep Dive
Explore Windows Azure's architecture, services, and capabilities with Microsoft Technical Fellow Mark Russinovich in this comprehensive deep dive session.
ALM para el Desarrollo de Base de Datos SQL Server
Aprenda técnicas avanzadas de gestión del ciclo de vida de aplicaciones para optimizar el desarrollo de bases de datos SQL Server y mejorar la eficiencia del equipo.
Managing 1 Million+ DBs - How Big Data is Used to Run SQL Azure
Explore big data management in SQL Azure, covering telemetry scaling, data collection, batch pipelines, and machine learning for efficient database administration at scale.
Monitoring DevOps Driven Microservices Apps
Explore how InfluxData's time-series platform enhances DevOps initiatives, providing granular sub-second monitoring for anomaly detection and performance optimization in microservices applications.
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.