AB-Testing-and-Canary-Deployments
AB testing and Canary deployments are essential techniques in modern software development and product management. AB testing is a method used to compare two or more variations of a product or feature to determine which one performs better in achieving a specific goal, such as user engagement or conversion rates. On the other hand, Canary deployments involve releasing a new version of software to a small subset of users before a full rollout. This approach allows teams to monitor performance and gather feedback, minimizing risks associated with new releases. Together, these strategies enable data-driven decision-making and enhance user experience.
Kubernetes Canary Deployment #1 Gitlab CI
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…
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All you should know about AB testing
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...
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A practical guide to A/B Testing in MLOps with Kubernetes and seldon-core
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...
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AB testing in Game — analyze using Pty
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…...
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The Engineering Problem of A/B Testing
For the last two years, I’ve worked in an environment where A/B testing is a primary rollout mechanism — a completely new experience for me. Recently, Nicolas Gallagher tweeted 37 words that pretty…
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On AB tests and Carryover Effect
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…
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A/B Testing -Implementation -2
[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…...
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How to Support A/B Testing in Your Python Code
In today's video, I am taking a close look at A/B testing and feature flags. A/B tests are a great way to establish what your end user likes. If you just make those decisions based on what you think w...
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A/B Testing: The Case Study!
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…
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Building ML Predictive Models and Managing AB Testing with Databricks
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...
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Seasoning your AB testing experiments
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...
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Single-Cell RNA Sequencing: An A/B Testing Tool For Biologists
A/B testing is a common practice in the tech industry. Every time a new feature is built, product managers and data scientists put it through the ultimate test of performance — A/B testing. The…
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