Nirmeet Bhogill

In 2026, the corporate workload journey has reached a critical inflection point: the shift from multicloud expansion to AI-native innovation. As organizations globally scale distributed workloads and leverage generative AI, agents and LLMs to drive intelligence, this rapid pace has created a new class of enterprise challenges. Fragmented visibility across complex ecosystems has given rise to shadow AI, where blind asset exposure and vulnerable AI integrity stay hidden behind operational noise.

As more organizations embrace DevOps and CI/CD pipelines, GitHub-hosted runners and GitHub Actions have emerged as powerful tools for automating workflows. But as with many other automation tools, it can be difficult to maintain the performance and visibility of these workflows. That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines. Let’s explore some of the advantages of monitoring GitHub runners using Dynatrace.

Dynatrace integrates with Tenable to provide a single pane of glass for security findings across various environments and products, allowing unified analysis, prioritization, and orchestration of findings. With the enriched runtime context, you can focus on critical issues that impact your production apps and help reduce noise for the DevSecOps teams that remediate those issues.