In today’s era of accelerating digital transformation, ensuring application stability and the ability to detect and resolve incidents swiftly are no longer aspirational goals. They are fundamental prerequisites for delivering exceptional customer experiences and sustaining a competitive edge. With a clear understanding of this challenge, AMIGO partnered with Red Hat and Dynatrace to successfully host the specialized workshop: “Intelligent Automation & Observability for the Cloud-Native Enterprise” in Hanoi.

Throughout the workshop, speakers come together to explore and share groundbreaking technology solutions aimed at optimizing operations within modern cloud environments.
- Dynatrace with Full-Stack Observability for the Cloud: Dynatrace delivers end-to-end visibility across applications and infrastructure. It gave teams a clear, real-time picture of system performance – making it easier to spot anomalies early and keep operations running smoothly.
- Red Hat Ansible with IT Automation at Scale: Red Hat Ansible brings Infrastructure as Code (IaC) to life. It automates repetitive IT tasks at scale, reduces human error, and ensures systems stay consistent and reliable – freeing up teams to focus on what matters most.
- Dynatrace + Ansible = AI-Powered Self-Healing Systems: The workshop’s standout moment is a live demonstration of Dynatrace and Ansible working together. The combined solution uses AI to detect incidents in real time and triggers automated remediation instantly. The outcome is a self-healing system: Less downtime, better performance, and IT teams empowered to drive innovation.



The workshop delivers one clear takeaway: Intelligent automation and full-stack observability are no longer optional. In a fast-moving digital world, they are the foundation for any organization that wants to grow and stay ahead.
AMIGO, together with Red Hat and Dynatrace, is committed to supporting Vietnamese enterprises on their digital transformation journey – toward operations that are smarter, faster, and more resilient.



