This post provides an overview of implementing semantic search. Why? Because too often, we notice testers skip testing more complex features like autocomplete. This might be ok in most applications. But in domain specific applications, testing autocomplete capabilities of the product is important. Since testers can benefit from understanding implementation details, in this post, we will look at how autocomplete […]
Build a semantic search tool using FAISS
Getting everyone to write infrastructure tests
In this post, we will outline our usual strategy to get an entire team to quickly fill testing holes – like writing infrastructure tests. Why? Because we find ourselves using this approach frequently at clients. Some context: Qxf2 engineers work with early stage products that neglected writing tests in favour of shipping quickly. This means, we almost always enter situations […]
Integrating CloudWatch Alarms with Skype
At Qxf2, our AWS environment hosts a multitude of applications, so monitoring the AWS services in real time is crucial for maintaining system reliability and performance. We’ve been using CloudWatch alarms to help us watch over our resources, these alarms used to send us emails whenever something went wrong. The problem was, it is often easy to miss these alerts […]
Auditing AWS cloud resources with Chef InSpec
Continuing from the preceding blog, ‘Auditing OS Level Resources with Chef InSpec’ which delved into utilizing the Chef InSpec open-source tool for testing individual servers via OS level resources. Now, we embark into the domain of Chef InSpec’s facility in cloud environments. Chef InSpec extends its support to cloud platforms like AWS, Azure, and GCP. Referring to insights shared in […]
Exploratory Testing with Logmine
This post will discuss how to improve your Exploratory Testing using Logmine. For sometime, I have been looking out for a log analyzer when I started doing exploratory testing with a new product. Logs are a gold mine of information if used well. You can infer common problems, get testing ideas, understand typical behaviour of a product and more from […]
Dataset and Model Evaluation using Deepchecks
At Qxf2, we have always been curious on how to test and validate the datasets and models. A good machine learning team should continuously monitor the model to identify any changes in model performance. You need to be confident that your models are accurate, reliable, and fair. Deepchecks can help you achieve this by providing a comprehensive set of tools […]