We know what it’s like to deal with complex production deployments that cover the gamut from infrastructure upgrades, to feature deployments, to data migrations, where each step threatens to derail the plan. In this post she’ll give an overview of obstacles she’s faced (you may be able to relate) and talk about solutions to overcome these obstacles.
Building or rebuilding a data platform can be a daunting task, as most questions that need to be asked have open-ended answers. This post aims to help.
How can you manage your implementation in a way that allows you to take maximum advantage of technology innovation as you go, rather than having to freeze your view of technology to today’s state and design something that will be outdated when it launches? You must start by deciding which pieces are necessary now, and which can wait.
While on paper it should be a seamless transition to run Impala code in Hive, in reality it’s more like playing a relentless game of whack-a-mole. This post provides hints to make the transition easier.
Rather than get bitten by the idiosyncrasies involved in running Spark on YARN vs. standalone when you go to deploy, here’s a way to set up a development environment for Spark that more closely mimics how it’s used in the wild.
Today, the currency supply supported by the Bitcoin blockchain is worth four billion dollars. So, what have we learned? There are five essential properties any good blockchain must have.
In this post, we look at how to set up a microservice development environment for success.
In this post, we offer some strategies for effective communication when developing microservice environments.
In this post, we tackle the challenge of maintaining consistency in an environment with distributed development teams.