Most enterprises today run workloads across multiple IT infrastructures rather than a single platform, creating significant operational challenges. According to Nutanix CTO Deepak Goel, organizations face three major hurdles: managing operational complexity amid a shortage of cloud-native skills, migrating legacy virtual machine (VM) workloads to microservices-based cloud-native platforms, and running VM-based workloads alongside containerized applications. Many engineers have deep infrastructure experience but lack Kubernetes expertise, making the transition especially difficult and increasing the learning curve for IT administrators.

To address these issues, organizations are turning to platform engineering and internal developer platforms that abstract infrastructure complexity and provide standardized “golden paths” for deployment. Integrated development environments (IDEs) further reduce friction by embedding capabilities like observability and security.

Nutanix contributes through its hyper converged platform, which unifies compute and storage while supporting both VMs and containers. At KubeCon North America, Nutanix announced version 2.0 of Nutanix Data Services for Kubernetes (NDK), adding advanced data protection, fault-tolerant replication, and enhanced security through a partnership with Canonical to deliver a hardened operating system for Kubernetes environments.

Learn more from The New Stack about operational complexity in cloud native environments:

Q&A: Nutanix CEO Rajiv Ramaswami on the Cloud Native Enterprise

Kubernetes Complexity Realigns Platform Engineering Strategy

Platform Engineering on the Brink: Breakthrough or Bust?

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How Nutanix Is Taming Operational Complexity

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