Load Test Python Apps with Locust - Handle Millions of Users

Learn how to use Locust, an open source load and performance testing tool, to simulate massive user loads on Python applications. Follow a simple example of creating a locustfile, starting the web interface, configuring concurrent users and spawn rate, visualizing request metrics and response times - essential for stability testing web services at scale before production deployments. Hey readers 👋, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology! Hands-On Courses for Rust, Data, Cloud, AI and LLMs 🚀 Rust Programming Specialization: https://www.coursera.org/specializations/rust-programming Rust for DevOps: https://www.coursera.org/learn/rust-for-devops?specialization=rust-programming Rust LLMOps: https://www.coursera.org/learn/rust-llmops?specialization=rust-programming Rust Fundamentals: https://www.coursera.org/learn/rust-fundamentals Data Engineering with Rust: https://www.coursera.org/programs/duke-university-on-coursera-obsio/learn/data-engineering-rust Python and Rust with Linux Command Line Tools: https://www.coursera.org/learn/python-rust-linux Virtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtualization-docker-kubernetes-data-engineering Cloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-duke MLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-mlflow-huggingface-duke Data Visualization with Python: https://www.coursera.org/learn/data-visualization-python Linux and Bash for Data Engineering: https://www.coursera.org/learn/linux-and-bash-for-data-engineering-duke Spark, Hadoop, and Snowflake for Data Engineering: https://www.coursera.org/learn/spark-hadoop-snowflake-data-engineering Cloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-virtualization-containers-api-duke Cloud Data Engineering: https://www.coursera.org/learn/cloud-data-engineering-duke Python Essentials for MLOps: https://www.coursera.org/learn/python-mlops-duke DevOps, DataOps, MLOps: https://www.coursera.org/learn/devops-dataops-mlops-duke Web Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-app-command-line-tools-for-data-engineering-duke MLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-aws-azure-duke Scripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-duke Python and Pandas for Data Engineering: https://www.coursera.org/learn/python-and-pandas-for-data-engineering-duke Cloud Computing Foundations: https://www.coursera.org/learn/cloud-computing-foundations-duke 📚 Must-Read Books: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017 Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/ Developing on AWS with C#: https://www.amazon.com/Developing-AWS-Comprehensive-Solutions-Platform/dp/1492095877 Pragmatic AI Labs Books: https://www.amazon.com/gp/product/B0992BN7W8 🎥 Follow & Subscribe: Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q 52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.com noahgift.com: https://noahgift.com/ Pragmatic AI Labs Website: https://paiml.com/ Your adventure in tech awaits! Dive in now, and elevate your skills to new heights. 🚀