451 Research’s data and conversations reveal that while enterprises tend to embrace open source software, they are currently struggling to address the unique challenges that open source software can bring regarding support, software quality, licensing and security. Simply using open source software and making it available to users is not enough. This is where managed … continue reading
Businesses today struggle as a result of the three big challenges with traditional analytics products – legacy tools that won’t work with all of their data, that don’t have the architecture to handle big data, and that can’t take actions in real-time to keep them ahead of the competition. Qrvey is the next generation of … continue reading
In this eBook, we will explore the 5 keys to building a successful continuous delivery pipeline. Our discussion will highlight the importance of using a mobile device cloud, testing on real devices, and explain how to set up a test automation strategy. We will also walk you through the steps to set up a continuous … continue reading
Opinions vary, but only one is grounded in truth: The mainframe is positioned for a long, successful future. Compuware-commissioned Forrester Consulting research highlights two signs of this reality: 72 percent of mainframe-powered organizations say their customer-facing applications are completely or very reliant on mainframe processing 64 percent of mainframe-powered organizations have planned to run more … continue reading
Observability helps developers and operators (“DevOps”) understand distributed systems: what’s slow, what’s broken, and what needs to be done to improve performance. In order to manage and understand multi-layered architectures, we need more than traditional logs and infrastructure metrics. In this guide, we cover: Common observability challenges in distributed systems Understanding telemetry data: logs, metrics, … continue reading
Observability helps developers and operators (“DevOps”) understand distributed systems: what’s slow, what’s broken, and what needs to be done to improve performance. In order to manage and understand multi-layered architectures, we need more than traditional logs and infrastructure metrics. In this guide, we cover: Common observability challenges in distributed systems Understanding telemetry data: logs, metrics, and … continue reading
Moving from DevOps to DevSecOps isn’t a matter of putting a security team member on a DevOps team, because developers tend to outnumber security professionals by 100 to one. Since most developers aren’t security experts and most security experts aren’t developers, the two must learn to work together effectively. … continue reading
The license is what turns software components into open source components, and allows developers to use that software -as long as they keep to the specific terms and conditions as laid out in the license. But there are over 200 open-source licenses out there, varying in complexity and requirements. In this whitepaper, you will learn: … continue reading
Hiring and retaining software engineers is hard– and it’s only getting more difficult. A hiring strategy that allows engineering managers to source talent from a global pool will bring a wider range of skills and experience, reduce turnover, and attract the 53.3% of developers, as surveyed by stack Overflow, who rank distributed work as the … continue reading
All too often, the onboarding process for new hires feels rushed and disorganized. Add in a remote/distributed engineering team, and the process is even more difficult. But, when onboarding is done right, it leads to better employee retention and improved on-the-job performance. … continue reading
Hiring new talent is a challenge for all companies, and it’s particularly true when hiring engineering talent. It’s time-consuming, costly and often impacts the development of a company’s growth, potential, and culture like no other decision you will make. … continue reading
For many CIOs, the realization that they can’t visualize how value flows across the software delivery process is a “eureka!” moment. Abandoning a hit and hope mentality, CIOs are taking a sledgehammer to the black box that conceals the mechanics of how software is planned, built and delivered at scale. Once inside, they’re analyzing how … continue reading
