Systems | Development | Analytics | API | Testing

How Ephemeral Test Environments Solve DevOps' Biggest Challenge

Ephemeral test environments have surfaced as a solution to DevOps teams’ growing challenges. Dealing with spiraling cloud costs and infrastructure maintenance is only getting more complex. Development teams find themselves competing for limited or stale environments while datasets grow larger. As a result, development velocity suffers. Application teams need realistic data for effective testing.

Ep 40 | Accepting Vulnerability as a Leadership Differentiator not Deterrent with Avani Desai

As part of our Women Leaders in Technology (WLIT) series on The AI Forecast, we’re joined by Avani Desai, CEO of Shellman, a leading cybersecurity firm. Each quarter, we’ll take a break from the regularly scheduled AI programming on The AI Forecast to direct our attention to this important topic in tech.

Static Data Masking for Snowflake Tutorial with Perforce Delphix

Learn how Delphix simplifies data masking for Snowflake to protect sensitive data while maintaining its usability for analytics and AI. This demo explains why masking is critical for security and compliance, especially when managing large-scale data in the cloud.

Troubleshooting Microservices with AI

Ever found yourself saying, "But it works on my machine!" when a bug pops up in a microservices environment? It's a common and frustrating problem. Unlike a monolithic application, microservices are a collection of independently deployed services that communicate with each other. This complexity makes it difficult to reproduce real-world issues on your local machine, as you may not have all the necessary services and dependencies running. But what if you could take a snapshot of a running application's behavior and bring it home for debugging?

Breaking the Boundaries of Legacy Analytics

As leaders across industries, we’ve all experienced the frustration of legacy BI tools—spending weeks building dashboards that end up unused, or struggling with rigid filters that block true exploration and insight. Calling this “data-driven” is no longer acceptable! Today, the pace of AI innovation has raised expectations. Customers and end users now demand instant, contextual, and explainable intelligence, seamlessly embedded into their daily workflows.

The 2025 Appian Developer Report: Inside the Growing Global Community

In this year’s Appian Developer Sentiment Survey, nearly 1,000 Appian developers from six continents shared their insights—a 53% increase from the last survey. The result? The most representative snapshot of the global Appian developer community yet. This report captures what matters most to you—from views on AI and certifications to career goals and go-to resources—and how these inputs are shaping what’s next for Appian developers.

Future-Proof Your Automation Strategy: Insights from the 2025 Gartner Hype Cycle for Enterprise Automation

The landscape of enterprise automation is undergoing a major shift, moving beyond bots and predefined workflows. The 2025 Gartner Hype Cycle for Enterprise Process Automation provides a clear roadmap for this new era, assessing the key innovations that will redefine how businesses operate. The central theme? As automation becomes more intelligent, autonomous, and democratized, the need for strategic orchestration has never been more critical.