In the world of data management, clearinghouses often serve as intermediaries, enabling secure data transactions across different platforms and ensuring compliance with industry regulations. However, as data management needs evolve, businesses are increasingly looking for alternatives to clearinghouses that offer more flexibility, control, and advanced features.

Understanding embedded analytics dashboards starts with knowing what the term itself means—so let’s break it down. Dashboards are screens or pages that display information in a unified view that makes data easily digestible for end users.

Perforce has been contributing and working in open source for decades now. We understand that open source is the linchpin for technology that supports businesses today. Our approach to open source is not unique to the industry at large or a company of our size (we have around 1,700 employees and 800 are on my team), but questions of our approach to open source became much more visible when we acquired Puppet – which has a really dedicated open-source community and a long history with open source.

This year's Gartner Hype Cycle for Data Management report mentions self-service data management. It’s a game-changer that gives business users the power to work with data without constantly relying on IT, boosting data quality and making data available for analytics and decision-making. But what is it, really? How do you achieve self-service? Let’s take a closer look.

Imagine your app faces a sudden surge in users. Thousands log in at once. Can your system handle the pressure, or will it crash?

In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. At ThoughtSpot, while Gradle has been effective, the growing complexity of our projects demanded a more sophisticated approach to understanding and optimizing our builds. This requirement prompted us to explore Build Analytics—harnessing data from our build processes to gain actionable insights.

Testing in production involves evaluating software directly in a live environment as real users. It’s becoming increasingly common.

In the fast-paced, highly regulated world of financial services, delivering exceptional service isn’t just about speed – it’s about managing immense complexity. As financial institutions face increasing pressure to innovate, they also carry the weight of maintaining strict security and compliance standards. Test automation is more than just a tool; it empowers teams to modernize with confidence, knowing they can meet both quality expectations and regulatory demands.

The Domain Name System (DNS) is often described as the address book of the Internet. A and AAAA records map a human-friendly hostname like honeybadger.io to some machine-friendly IP address like 104.198.14.52. Other types of DNS records also exist; in particular, CNAME records are records that map a hostname to some other hostname, thereby delegating IP resolution to the latter.

APIs are essential to modern applications, but managing access and security policies can be complex. Traditional access control mechanisms can fall short when flexible, scalable, and fine-grained control over who can access specific resources is needed. This is where OPA (Open Policy Agent) steps in. OPA provides a unified framework for consistently defining and enforcing policies across microservices, APIs, Kubernetes clusters, and beyond. Consistent policy management is essential for enterprises.