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Table Of Contents:
- Introduction
- What is MLOps?
- What are MLOps tools?
- What is CI/CD in MLOps?
- Top CI/CD tools
- Summary
- References
Introduction:
In this post, we discuss MLOps(Machine Learning Operations) and CI/CD(Continuous Integration and Continuous Delivery or Continuous Deployment).these tools are used by MLOPS engineers.
What is MLOps?
MLOps is machine learning operations this is part of a data science project where we have to deploy our data science project on production servers, where we need to define some specific steps of our project.
or future training and future changes in the project we need an MLOps engineer who creates a pipeline of our project from coding to deployment on the server.
What are MLOps Tools?
MLOps tools help standardize, simplify, and streamline the ML ecosystem. These tools are used for experiment tracking, model metadata management, orchestration, model optimization, workflow versioning, model deployment, serving, and model monitoring in production.
What is CI/CD in MLOps?
One of the core concepts in DevOps that are now making its way to machine learning operations (MLOps) is CI/CD-Continuous Integration and Continuous Delivery or Continuous Deployment.
Top CI/CD Tools for MLOPS Engineers
Here are some of the top CI/CD tools :
MLflow:
- MLflow is an MLOps tool that enables data scientists to quickly productionize their Machine Learning projects.
- To achieve this, MLFlow has four major components which are Tracking, Projects, Models, and Registry.
- MLflow lets you train, reuse, and deploy models with any library and package them into reproducible steps.
Jenkins:
- Jenkins is an open-source CI/CD tool that is widely used for building, testing, and deploying software projects.
- It is highly customizable and has a large community of users and developers.
Travis-CI:
- Travis CI is a cloud-based CI/CD tool that is popular among open-source projects.
- It is easy to set up and integrates seamlessly with GitHub.
CircleCI:
- CircleCI is a cloud-based CI/CD tool designed to be easy to use and highly scalable.
- It is popular among startups and has a range of integrations with other tools and platforms.
GitLab-CI:
- GitLab CI is a CI/CD tool that is integrated into the GitLab platform.
- It is popular among organizations that use GitLab for version control and project management.
Azure DevOps:
- Azure DevOps is a cloud-based CI/CD tool offered by Microsoft.
- It is popular among organizations that use the Azure cloud platform and has a range of integrations with other tools and services.
Summary
These are the most used tools for continuous delivery and continuous deployment and are used by machine learning operational engineers.
Happy Learning and Keep Learning…📖📖
Thank you…😊😊