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Miniature Code Retreat

on November 19, 2011

Agile My Talks ThoughtWorks

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Books by ThoughtWorkers

on December 03, 2010

Books ThoughtWorks

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Stack Exchange User Flair

Should I buy refurbished laptop from Amazon?

This post is based on my experience with amazon.in and guess it to be true on all other platforms as well. At least you can check out and verify for these pointers before you make that decision to buy renewed/refurbished laptop on Amazon with your hard earned money. I see this question propping up in several forums and on many different occasions. In the recent past, I had my 5 year old dell laptop that gave up because its motherboard failed. One of the options that I had in my mind was to re-use the HDD and the 16GB DDR4 RAM of that old laptop in the one that I purchase next as secondary. I had come to a conclusion that it is not worth buying a refurbished/renewed laptop at all. Why? For the following reasons, most of which I see as BIG #RedFlags: You got to remember that Amazon provides a platform for 3rd party sellers to sell their products as well. So in your search for refurbished laptops you wouldn’t want to choose some random 3rd party seller who Amazon doesn’t endorse. You cou

Android Activity's onDestroy() Ain't Your Reliable Friend

Look at the Android Activity life-cycle events in the picture beside. The lifecycle isn't something new. You're familiar with it right? You're also that good Android developer that writes clean code, wherein you consciously override onDestroy() method to include resources clean-up code and save some state, right? Per Android doc , it is okay and usually the practice to write cleanup code in this method but not anything beyond that. So if you are to write code to persist state in this method, or anything else beyond resource clean-up (like threads associated with an activity), you're better off to push it up the life-cycle, either in onStop() or onPause() method. That is how I settled in the first iteration of new learning but wasn't happy. Why? To quote Android Doc:

LoadBalancer support with Minikube for Kubernetes

Kubernetes (aka K8s) is an open source system (from Google) for managing containerized applications across multiple hosts; providing basic mechanisms for deployment, maintenance, and scaling of applications. Minikube is a tool that makes it easy to run Kubernetes locally on your laptop/desktop. Minikube runs a single-node K8s cluster inside a VM on your laptop for users looking to try out K8s or develop with it day-to-day.

How to disable gnome-ssh-askpass?

Today we had setup Git repo with access to it through corporate's LDAP authentication. From the client machines we can access it using the .netrc (where the machine, login and password are configured). However, for some wierd reason, upon trying to pull/push commits from/to the Git repository, the bash shell tries to open the gnome-ssh-askpass dialogue and it fails. I wanted to prevent the bash shell from attempting to launch the dialogue box. To do this, all I had to do is run the following command in the terminal: $ unset SSH_ASKPASS To prevent it in future, you can add the above line in your .bashrc or .bash_profile. Wish you trouble-free working!

Multi-tenant Architectures

Multi-tenancy Application Deployment Architecture could be modeled in 4 broad ways: Separate Apps & Separate Databases Shared Apps & Shared Databases Separate Apps & Shared Databases Shared Apps & Separate Databases There is no right or wrong here. It's about choice and consequence that you should consider taking into your business context and constraints. In this post I intend to jot down a some key points to keep in mind for each of these multi-tenant architecture. These are more of quick notes for my quick reference, a cheat-sheet of sorts when I have to make choices. And I guess this can come handy to you too in your wise decision making. Separate Apps & Separate Databases Easiest to implement from development and deployment stand-point. Just automate the deployment infrastructure for every tenant for quick set-up. Most expensive of all the models from infrastructure cost stand-point. Relatively longer deployment t

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