Shadow Deployments

Shadow deployments refer to the practice of deploying applications in a production environment without exposing them to end users. This approach allows developers to test new features or updates in real-time, ensuring that they function correctly before full-scale release. By running these shadow versions alongside the live application, teams can monitor performance, identify potential issues, and gather user feedback without disrupting the existing user experience. This method enhances the reliability of software releases and minimizes the risk of downtime or errors, ultimately leading to a smoother deployment process and improved application quality.

Shadow Deployment of ML Models With Amazon SageMaker

Towards AI

Validate the performance of new ML models by comparing them to production models with Amazon SageMaker shadow testing AWS has announced the shadow model deployment strategy support in Amazon SageMaker...

Deployment Strategies

Level Up Coding

When it comes to deployment, one major question you may have is what deployment pattern (strategy or type) I should pick. Some of the strategies are quick to implement but have a lot of downsides, whi...

Zero-downtime deployments

Software Architecture with C plus plus

There are two common ways to minimize the risk of downtime during deployments: blue-green deployments and canary releases . You can use the Envoy sidecar when introducing any of those two.

Deployments Concepts

FastAPI Documentation

Deployments Concepts When deploying a FastAPI application, or actually, any type of web API, there are several concepts that you probably care about, and using them you can find the most appropriate ...

Deployment

Full Stack Python

Web application deployment involves packaging and running your app on a server. Learn more about deployments on Full Stack Python.

Deployment and operational views

Software Architecture with C plus plus

If you have a non-standard or complex deployment environment, such as specific needs with regard to hardware, third-party software or networking requirements, consider documenting it in a separate dep...

Six Deployment Strategies

Javarevisited

Over this article, we are discussing different deployment strategies. Different organizations using different deployment strategies based on different factors such as cost savings, downtime management...

Shadow PaaS: The Platforms Powering AI Startups Behind the Scenes

Python in Plain English

Let me guess. Continue reading on Python in Plain English

📝 Guest post: The Rise of Shadow AI*

TheSequence

In TheSequence Guest Post our partners explain in detail what ML and AI challenges they help deal with. In this article, Fara Hain from Run:ai discusses the problem of ‘shadow AI’ – when siloed teams ...

Shadowfier

Level Up Coding

Generating authentic product shadows using image-processing photo by @kadircelep on unsplash.com Recently, I have been working on a problem statement to generate studio-style product catalogue images...

Deploy

CherryPy Documentation and Tutorials

Deploy CherryPy stands on its own, but as an application server, it is often located in shared or complex environments. For this reason, it is not uncommon to run CherryPy behind a reverse proxy or us...

Deployment - Intro

FastAPI Documentation

Deployment - Intro Deploying a FastAPI application is relatively easy. What Does Deployment Mean To deploy an application means to perform the necessary steps to make it available to the users . For ...