As we navigate unprecedented times together, we inevitably find ourselves to be participants in a global data storytelling exercise; either as an author, contributor, or a reader. There are now hundreds, if not thousands, of data storytelling examples out there. It’s a riveting data story that’s been read over 40 million times, receiving over 230,000 claps, and translated into 30 languages. But is this data story ’safe’?
Like many things in life, the toughest part of a test automation project can be getting started. That's why the Solution Architects and Information Developers are working hard to produce good materials for anyone getting started with test automation and Sauce Labs. To help this effort, we've reworked some Python example code, which can be found in the Sauce Labs Training Demo Python repository.
When protecting your online services, the weakest link is represented by the endpoints – that is, by the end-user devices running web or mobile applications or by external systems leveraging open APIs. As a matter of fact, there is a growing number of targeted attacks leveraging sophisticated techniques such as malicious web injections, mobile overlay and API abuse attacks to perform identity hijacking, account takeover, transaction tampering and payment frauds.
When you deploy a new Rails app, you typically face a double-bind. If you use an easy platform like Heroku, you could create problems for yourself as your application scales. If you use a more fully-featured platform, you risk wasting time on ops that could be spent on your product. What if you could have both: an easy deployment option that is easy to scale?
With this click-bait title and an answer as short as “more leads, better leads and cheaper leads”, I could wrap this article up in one sentence. Yet, even though that answer would not be very far from the truth for many startups, there is a lot more to it. Marketing is all about measurable results. The days when you could buy a billboard next to a football field without asking a few critical ROI questions are long gone.
Currently, many enterprises, including many Cloudera customers, are experimenting with machine learning (ML) and creating models to tackle a wide range of challenges. While today, many models are used for dashboards and internal BI purposes, a small and rapidly growing group of enterprise leaders have begun to realize the potential of ML for business automation, optimization and product innovation.
Last year, Cloudera released the Cloudera Data Platform, an integrated data platform that can be deployed in any environment, including multiple public clouds, bare metal, private cloud, and hybrid cloud. Customers are increasingly demanding maximum flexibility to adhere to multi-cloud, hybrid data management demands. Unravel has from the beginning has made it a core strategy to support the full modern data stack, on any cloud, hybrid as well as on-premises.
In these unprecedented times, everyday life has begun to change in ways we couldn’t even dream of only a few weeks ago. With the global population moving to more isolated lifestyles (remote working policies, social distancing, etc.) people are looking to digital services to help create a sense of calm and normalcy.
In this tutorial, we will look into how to integrate performance testing with k6 in your TeamCity build setup. k6 is a free and open-source performance testing tool for testing the performance of APIs, microservices and websites. TeamCity is a continuous integration and delivery server built by JetBrains.
