AB Testing&Canary Deployments

A/B testing and canary deployments are essential methodologies in software development and data-driven decision-making. A/B testing involves comparing two or more variations of a product or feature to determine which performs better based on user interactions. This approach helps organizations validate hypotheses and make informed decisions. On the other hand, canary deployments are a strategy for rolling out new features to a small subset of users before a full-scale release. This allows teams to monitor performance and identify potential issues early, minimizing risks associated with new updates. Together, these techniques enhance user experience and optimize product development.

Kubernetes Canary Deployment #1 Gitlab CI

Level Up Coding

We will use a manual approach and alter/create core-Kubernetes resources to perform a Canary deployment. This is mainly for understanding how a Canary deployment works, there are better ways…

All you should know about AB testing

Towards Data Science

All steps you should know to run the AB test correctly. In the rapidly changing data world, AB testing is a tool that helps the Product team test hypotheses and makes data-driven decisions rather tha...

Canary releases

Software Architecture with C plus plus

The simplest way to not have all your service instances fail after an update is often, well, not updating all of them at once. That's the key idea behind the incremental variant of blue-green deployme...

A practical guide to A/B Testing in MLOps with Kubernetes and seldon-core

Towards Data Science

A Practical Guide to A/B Testing in MLOps with Kubernetes and seldon-core How to set up a containerized microservice architecture to run A/B tests Photo by Jens Lelie on Unsplash Many companies are u...

AB testing in Game — analyze using Pty

Analytics Vidhya

AB testing is a popular way to experiment with changes in websites, games, etc. We can see the result in a short time and make decisions accordingly. I recently took several statistics thinking using…...

A/B Testing -Implementation -2

Python in Plain English

[IF YOU WANT TO READ MY FIRST ARTICLE , https://medium.com/python-in-plain-english/a-b-testing-implementation-2aeea5f26985 ] A/B testing, also known as split testing, is a statistical method utilized…...

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...

A/B Testing: The Case Study!

Towards Data Science

My previous blog gives a basic idea of what exactly is A/B testing. From the positioning of images on pages, to the checkout process, we are staunch advocates of A/B Testing. Knowledge of a concept…

Seasoning your AB testing experiments

Towards Data Science

How can salt help you with experiments? Photo by Manuel Asturias on Unsplash AB testing is one of the most well-known methods to measure the effect of new features’ implementation. The main idea is t...

On AB tests and Carryover Effect

Towards Data Science

In the complex world of data-driven decision-making, A/B testing stands out as a powerful tool, helping businesses optimize their strategies and improve user experiences. But what happens when the…

Building ML Predictive Models and Managing AB Testing with Databricks

Level Up Coding

AB End2end experimentation on Databricks — Part I Introduction In today’s digital landscape, organizations are constantly seeking ways to enhance their products and services by leveraging the power of...

Reviewing A/B Testing Course by Google on Udacity

Towards Data Science

A/B tests are online experiments which are used to test potential improvements to a website or mobile application. This experiment requires two groups — control group and experiment group. Users in…