This is the second part in a series of posts about on getting started with Kubernetes. In my previous post, I covered how to setup single node of Kubernetes Cluster locally using Minikube and discussed a few issues which I came across during its setup. Since Kubernetes comes with its own toolset, we can pretty much configure and run the […]
Kubernetes on Google Cloud Platform
Getting started with Kubernetes
Recently, I started my first experiments with Kubernetes, Google’s open-source orchestration platform for Linux Containers. As containers have become more important to businesses, it has become necessary to create a system that would allow containers to scale out to meet the needs of enterprise-level deployments. That’s where Kubernetes comes into play. Unlike Docker, Kubernetes is a very robust ecosystem for […]
Experimenting with team structures at Qxf2
This post will give you an overview of how we think about team structure and job roles at Qxf2. We are fairly certain that current structure of testing teams is not going to help us solve a lot of problems that are coming our way. You can read about the challenges we think are coming our way. Haven’t you […]
An introduction to hiring and onboarding at Qxf2
This post will give you an overview of how we think about hiring, onboarding and the steps we have taken so far. This post is useful if you are looking to setup a team from scratch or are starting a services company. Note: This is a very long article, but you can skip sections that do not interest you and […]
An introduction to training at Qxf2
This post outlines our efforts in building a training program at Qxf2. The training program at Qxf2 We doubt that the current skills of testers will be sufficient in the near future (see The need for change (at Qxf2)). Which means we will need to train (or retrain) people to stay relevant. This post will give you an overview of […]
Qxf2’s Data analytics, Machine Learning and AI roadmap
In this post, we’ll briefly outline how our Data analytics, Machine learning and AI roadmap looks. We’ll also give you a feel for how work proceeded before we had a roadmap and how it has proceeded after we came up with one. Note: We ended up doing a lot more in this area since we have some mathematics expertise (for […]
Qxf2’s Hardware and Robotics roadmap
In this post, we’ll briefly outline how our hardware and robotics roadmap looks. We’ll also give you a feel for how work proceeded before we had a roadmap and how it has proceeded after we came up with one. Why use a roadmap in the first place? The return on investment on R&D is not obvious. Our R&D work, in […]
Qxf2’s DevOps roadmap
In this post, we’ll briefly outline how our DevOps roadmap looks. We’ll also give you a feel for how work proceeded before we had a roadmap and how it has proceeded after we came up with one. Why use a roadmap in the first place? The return on investment on R&D is not obvious. Our R&D work, in the short […]
An introduction to R&D at Qxf2
As a techie, you cannot escape the buzz around IoT, elastic cloud computing, data analytics, machine learning, AI and the like. Most of the deep testing we would like to do in these areas lack easily accessible knowledge sources and definitely lack good tooling. We are sure that larger companies have faced many of these challenges and have arrived at […]
The need for change (at Qxf2)
This is the second post in a series of posts outlining the technical and organizational work we are undertaking at Qxf2. This post will help you understand why we are doing something different from a lot of other testing firms. In this post, we will look at three big challenges we think testers will face when tackling some of the […]