Systems | Development | Analytics | API | Testing

Organizations are starting to realize that simply writing tests to generate traffic is simply not good enough. Rather, production traffic replication is now necessary, where you record traffic from your production environment and then replay it in your development environment. To match the modern principles of this testing methodology, it makes sense to also utilize modern infrastructure, like Kubernetes.

Bitrise is excited to introduce the new Repeato Verified Step. Repeato uses computer vision and machine learning to help mobile teams automate robust UI tests — even without coding skills.

What an action-packed week at Sibos, the world’s premier financial services event held last month in Amsterdam. It was exciting to be back with other industry leaders to talk about the future of banking and how intelligent automation is critical for success. Appian is modernizing processes for some of the largest banks, including many in attendance. In fact, we were excited to kick off Sibos on stage together with our client Rabobank, the second largest bank in the Netherlands.

A/B testing is the most effective way to observe users’ behavior with two or more different versions of the same screen or in-app experience. It can help you test variations of an item, generally UI based, to determine which one performs better. Directing some users to version A and others to version B allows you to observe user behavior for each.

Kong connects APIs and microservices natively within clouds, data centers, and Kubernetes platforms using intelligent automation. Built on an open source core, Kong’s solutions enable digital innovation by allowing organizations to reliably and securely manage the full lifecycle of APIs for legacy as well as modern architectures, including container runtimes and serverless technologies.

Just one pre-written line of code for each data source is all that is needed to orchestrate automated data ingestion effectively.

When I first became an industry analyst, I was fascinated with vendor focus on key capability sets and engineering. The market shifted between acquisition cycles, new start ups, and development cycles for a go-to market strategy based on differentiated tools and capability sets. All of this jockeying for position based on feature sets created strong technology stacks that paved the way for a platform approach and eventual modernization and the transition to cloud.

The fourth industrial revolution is here! Industry 4.0 reinvents the way manufacturing companies complete day-to-day tasks by digitizing production processes. The latest technological advancements can lower operating costs, lessen product waste, reduce production line downtime, improve quality protocols, and allow manufacturers to make better use of factory resources.

The best ETL tools help you extract, transform, and load data from multiple data sources to the data destination of your choice. But not all ETL tool providers are created equal. Some are built for high-performance big data analytics, while others offer more intuitive and cost-effective workflows for the non-technical user.