emmanuelraj7 / loadtesting-microservicesLinks
Load Testing ML Microservices for Robustness and Scalability
☆14Updated 3 years ago
Alternatives and similar repositories for loadtesting-microservices
Users that are interested in loadtesting-microservices are comparing it to the libraries listed below
Sorting:
- Deployment of ML models with AWS Lambda, ECR, Docker, and GitOps☆25Updated last week
- ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc☆100Updated 3 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆233Updated last year
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆72Updated 7 months ago
- ☆20Updated last year
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆206Updated 3 years ago
- A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data…☆243Updated last year
- Metaflow tutorials for ODSC West 2021☆64Updated 4 years ago
- Listens MLFlow model registry changes and deploy models based on configurations☆20Updated 2 years ago
- Katana project is a FastAPI template for ASAP 🚀 ML API deployment☆113Updated last year
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆345Updated 3 years ago
- Managing machine learning life-cycle with MLflow tutorial☆23Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- Deploy transformers serverless on AWS Lambda☆122Updated 4 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆210Updated 3 years ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…☆133Updated 4 years ago
- ☆44Updated 3 years ago
- Using AWS Lambda with Docker to deploy a deep learning model☆24Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- ☆18Updated 4 years ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆34Updated 3 years ago
- ☆16Updated 5 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆135Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated last year
- ☆16Updated 4 years ago