Teach Your -Microservices- Speak Protocol Buffers with gRPC
Explore Protocol Buffers and gRPC for efficient microservice communication, covering schema enforcement, serialization, and API evolution with practical examples and best practices.
Developing Elegant Workflows in Python Code with Apache Airflow
Learn to orchestrate data processing pipelines using Apache Airflow. Discover how to define, manage, and extend workflows with Python code, creating resilient and efficient data processing systems.
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.
Streaming - Why Should I Care?
Discover how stream-oriented processing can revolutionize your approach to application development, offering natural service boundaries, flexible data schemas, and improved scalability.
Using Python and Microservices to Fuel WebPush at Mozilla
Explore WebPush technology, its implementation at Mozilla using Python and microservices, and learn how to integrate it into web applications for enhanced user engagement.
Feeding Data to AWS Redshift with Airflow
Explore Airflow for efficient data pipelines and learn to integrate it with AWS Redshift for effective ETL processes, schema management, and data transformation techniques.
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.
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.
Asyncio in Production
Explore real-world asyncio implementation in production, addressing migration challenges, performance impacts, and practical insights for mission-critical systems.
Reliability in Distributed Systems
Explore techniques for building reliable distributed systems, including monitoring strategies, failure prevention, and recovery methods for microservices and APIs communicating with various dependencies.
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.
Winning Card Games with 1000+ CPUs
Explore how AWS Lambda and Python concurrency can optimize a genetic algorithm for winning the SushiGo card game, discussing implementation, challenges, and results.
Deploy Python to the Cloud Faster with Azure Serverless
Learn to deploy and scale Python workloads using Azure Functions, with seamless integration in Visual Studio Code for local development, debugging, and cloud deployment. Explore serverless computing benefits and management tools.
Google Cloud for Pythonistas
Explore Python runtimes, services, and tools on Google Cloud, including App Engine, Cloud Functions, and Cloud Run. Learn best practices for monitoring and debugging Python applications.
From HTTP to Kafka-based Microservices
Explore the transition from HTTP to Kafka-based microservices, discussing challenges, solutions, and benefits of asynchronous communication in Python-based systems.
Modern Continuous Delivery for Python Developers
Explore modern deployment techniques for Python, focusing on avoiding vendor lock-in and creating flexible, future-proof setups for seamless transitions between cloud platforms.
AsyncIO in Production - War Stories
Explore real-world AsyncIO experiences in Python, including successes, challenges, and best use cases. Learn when to embrace or avoid this powerful concurrency approach.
Yet Another Package for Multi-Tenancy in Django
Explore multi-tenancy implementation in Django, covering fundamental plumbing, challenges, and popular packages for reliable, secure, and elegant solutions.
Serverless 2.0 with Cloudstate.io - Stateful Functions with Python
Explore next-generation serverless computing with Cloudstate, addressing challenges in distributed state management and long-lived stateful services for event-driven systems.
Boosting Simulation Performance with Python
Explore discrete-event simulation for robotics, boosting performance and determinism. Learn to overcome challenges in event-driven systems and distributed simulations for faster development and testing cycles.
Running Unit Test on Top of Serverless Service
Explore serverless architecture for unit testing, including parallelization approaches, implementation insights, and cost-benefit analysis for improved developer productivity.