Bringing your own libraries to run a Spark job on a shared YARN cluster can be a huge pain. In the past, you had to install the dependencies independently on each host or use different Python package management softwares. Nowadays Docker provides a much simpler way of packaging and managing dependencies so users can easily share a cluster without running into each other, or waiting for central IT to install packages on every node.

Pickerwheel is the UI element, specific to mobile devices that allows a user to pick a single value from multiple values displayed as a scrollable list. This UI element is available on both Android and iOS. Here, in this article, we will be discussing the automation of Picker Wheel specifically for iOS. Automation of an iOS-specific pickerWheel UI element via Appium using the XCUITest driver is quite simple. Let’s look at 2 approaches to do so below:

Kong for Kubernetes (Kong for K8S) is a Kubernetes Ingress Controller based on the popular Kong Gateway open source project. Kong for K8S is fully Kubernetes Native and provides enhanced API management capabilities. From an architectural perspective, Kong for K8S consists of two parts: A Kubernetes controller, which manages the state of Kong for K8S ingress configuration, and the Kong Gateway which processes and manages incoming API requests.

Welcome to another hands-on Kuma guide! In the first guide, I walked you through securing an application using Kuma in a Kubernetes deployment. Since Kuma is platform-agnostic, I wanted to write a follow-up blog post on how to secure your application if you are not running in Kubernetes. This capability to run anywhere differentiates Kuma from many other service mesh solutions in the market.

How can you speed up your workflow using Brew, Gem, and CocoaPods packages cache？

It's a fact of modern software development that aspects of our applications interact with third-party APIs. This could be for any number of reasons, with some common ones being payment processing, telecommunications, logging, and data analysis. So, since our applications rely upon third-party APIs so much, we need to ensure that we integrate with them as effectively — and defensively — as we can.

In December 2019 we released the second edition of our data privacy benchmark, and this year again, results are shocking: 18 months after GDPR came into force, 58% of surveyed companies are not performing with data privacy. The issue relates to the right of access, which gives individuals the right to obtain a copy of their personal data.

A new year is upon us and that means it’s time to look ahead to what’s coming next. In cloud computing, organizations are going to be making adjustments in 2020 – to accommodate overstrained budgets, new regulations, and shifting technologies. It will be a year of identifying what’s not working and moving toward the right solutions. Let’s take a look at three trends that will impact cloud computing across all industries in the coming year.

Custom dimensions are a great way to enrich your Google Analytics data with third-party tools. In this guide, 20+ experts share the custom dimensions you should be using.

An emerging field of data science uses time series metrics to develop an educated estimate of future developments in business such as revenue, sales, and demand for resources and product deliverables. A forecast is based on historical data of a given metric plus other relevant factors. Accurate forecasts are an important aspect of corporate planning.