Compuware Corporation announced that – in recognition of World IPv6 day – it has released the industry’s first free IPv6 Website Performance Comparison Test. This test allows organizations to compare the speed of their IPv4- and IPv6-enabled web applications.
With Internet Protocol IPv4 addresses running out this year, the industry must act quickly to prepare for IPv6 adoption or risk increased costs and limited functionality online for Internet users everywhere. With the migration to IPv6 already underway, it’s critical that organizations ensure their IPv6-enabled applications perform on par with their customers’ user experience expectations. Compuware’s early analysis of IPv6-enabled sites shows that users generally experience slower responses times when accessing them.
“With the depletion of IPv4 addresses, the IPv6 transition will affect every business that touches the Internet and the cloud. So organizations need to be ready to ensure the best possible end user experience for this transition,” said Mark Worsey, Chief Information Officer at GoGrid. “With GoGrid’s cloud infrastructure powering Gomez’s IPv6 Website Performance Comparison Test companies can easily compare performance of their IPv4- and IPv6-enabled web applications.”
To use the Gomez IPv6 Website Performance Comparison Test the user submits URLs for IPv4- and IPv6-enabled websites. The test produces a waterfall chart that compares the response times of each of the sites and also shows a screen capture of the IPv6 and IPv4 pages as they are seen in an actual browser.
“IPv6 will play an important role in the future of the Internet, and until now there was no way to test the performance of IPv6-ready websites or compare them to the currently deployed IPv4 sites,” said Steve Tack, Chief Technology Officer of Compuware APM business unit. “This instant test provides a quick and simple way to measure the response times that a user experiences when using these two protocols and helps ensure organizations experience a smooth and successful transition to IPv6.”
The Latest
Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...
One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...
As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...
Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...
The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...
Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...
Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...
If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...
Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...
APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...