Alternatives and similar repositories for loadtesting-microservices:

Users that are interested in loadtesting-microservices are comparing it to the libraries listed below

• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• rocket9-code / mlflow-deployment-controller
  Listens MLFlow model registry changes and deploy models based on configurations
  ☆21Updated last year
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆67Updated last year
• iterative / cml_base_case
  ☆20Updated 8 months ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• jacopotagliabue / dag-card-is-the-new-model-card
  Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.
  ☆30Updated 3 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated last year
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated last year
• mlrun / demo-github-actions
  demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions
  ☆50Updated 2 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• sejalv / serverless-ml-workshop
  Deployment of ML models with Serverless APIs (AWS Lambda) and Docker
  ☆24Updated 4 years ago
• dtriepke / nlp_model_selection_app
  ☆16Updated 4 years ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• alexeygrigorev / aws-lambda-docker
  Using AWS Lambda with Docker to deploy a deep learning model
  ☆23Updated 3 years ago
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated last year
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆133Updated last year
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆253Updated 4 months ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆97Updated 2 years ago
• sayakpaul / Dual-Deployments-on-Vertex-AI
  Project demonstrating dual model deployment scenarios using Vertex AI (GCP).
  ☆35Updated 3 years ago
• axsaucedo / seldon_experiments
  ☆16Updated 4 years ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆194Updated last year
• SohamPathak / modellogger.github.io
  Model-Logger is a Python library for storing model's profile and rapid inter model comparison.
  ☆62Updated 2 years ago
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last month
• mlflow / mlp-regression-template
  Example repo to kickstart integration with mlflow pipelines.
  ☆74Updated 2 years ago
• DanilBaibak / ml-in-production
  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
  ☆52Updated 2 years ago
• flmu / mlflow-tracking-server
  MLFLow Tracking Server based on Docker and AWS S3
  ☆68Updated 5 months ago